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2271 lines
146 KiB
R
2271 lines
146 KiB
R
##############################################################################
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#----------------------------------------------------------------------------#
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################################## LIBRARIES #################################
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#----------------------------------------------------------------------------#
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##############################################################################
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library(TAM)
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library(doMC)
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library(parallel)
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library(pbmcapply)
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library(funprog)
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library(dplyr)
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lastChar <- function(str){
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substr(str, nchar(str)-2, nchar(str))
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}
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##############################################################################
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#----------------------------------------------------------------------------#
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############################# ANALYSIS FUNCTIONS #############################
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#----------------------------------------------------------------------------#
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##############################################################################
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pcm_analysis <- function(df=NULL,treatment='TT',irtmodel='PCM2',method='MML') {
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nbitems <- sum(sapply(1:20,function(x) paste0('item',x)) %in% colnames(df))
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resp <- df[,sapply(seq(1,nbitems),function(x) paste0('item',x))]
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if (method=='MML') {
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tam1 <- tam.mml(resp=resp,Y=df[,treatment],irtmodel = irtmodel,est.variance = T,verbose=F)
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}
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if (method=='JML') {
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tam1 <- tam.jml(resp=resp,group=1+df[,treatment])
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}
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if (method!='MML' & method!='JML') {
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stop('Invalid method. Please choose among MML or JML')
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}
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return(tam1)
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}
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replicate_pcm_analysis_m4 <- function(df=NULL,treatment='TT',irtmodel='PCM2',method='MML',sequence='replication',eff.size=0,difsize=NA,nbdif=0) {
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nbitems <- sum(sapply(1:20,function(x) paste0('item',x)) %in% colnames(df))
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resp <- df[,sapply(seq(1,nbitems),function(x) paste0('item',x))]
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truebeta <- eff.size
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if (method=='MML') {
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n <- max(df[,sequence])
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print(n)
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tam1 <- lapply(seq(1,n),
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function(x) pcm_analysis(df=df[df[,sequence]==x,],treatment=treatment,irtmodel=irtmodel)
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)
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}
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listitems <- c(sapply(c('_1','_2','_3'),function(x) paste0(sapply(seq(1,nbitems),function(x) paste0('item',x)),x)))
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returndat <- data.frame(matrix(nrow=max(df[,sequence]),ncol=length(listitems)))
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colnames(returndat) <- listitems
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for (s in seq(1,max(df[,sequence]))) {
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for (k in seq(1,nbitems)) {
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returndat[s,paste0('item',k,'_1')] <- tam1[[s]]$item[k,'AXsi_.Cat1']
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returndat[s,paste0('item',k,'_2')] <- tam1[[s]]$item[k,'AXsi_.Cat2']-tam1[[s]]$item[k,'AXsi_.Cat1']
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returndat[s,paste0('item',k,'_3')] <- tam1[[s]]$item[k,'AXsi_.Cat3']-tam1[[s]]$item[k,'AXsi_.Cat2']
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}
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}
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returndat <- returndat[,sort_by(listitems, lastChar)]
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returndat$beta <- sapply(seq(1,max(df[,sequence])),function(k) tam1[[k]]$beta[2])
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returndat$se.beta <- 1.413612*sapply(seq(1,max(df[,sequence])),function(k) tam.se(tam1[[k]])$beta$se.Dim1[2] )
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returndat$low.ci.beta <- returndat$beta-1.96*returndat$se.beta
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returndat$high.ci.beta <- returndat$beta+1.96*returndat$se.beta
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returndat$true.value.in.ci <- 1*(truebeta>returndat$low.ci.beta & truebeta<returndat$high.ci.beta)
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returndat$h0.rejected <- 1*(0<returndat$low.ci.beta | 0>returndat$high.ci.beta)
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if (truebeta==0) {
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returndat$beta.same.sign.truebeta <- NA
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} else {
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returndat$beta.same.sign.truebeta <- 1*(sign(truebeta)==sign(returndat$beta))
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}
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returndat2 <- data.frame(J=rep(nbitems,max(df[,sequence])),
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M=1+max(df$item1),
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N=nrow(df[df$replication==1,])/2,
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eff.size=truebeta,
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dif.size= difsize,
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nb.dif= nbdif
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)
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returndat <- cbind(returndat2,returndat)
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return(returndat)
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}
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replicate_pcm_analysis_m2 <- function(df=NULL,treatment='TT',irtmodel='PCM2',method='MML',sequence='replication',eff.size=0,difsize=NA,nbdif=0) {
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truebeta <- eff.size
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nbitems <- sum(sapply(1:20,function(x) paste0('item',x)) %in% colnames(df))
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resp <- df[,sapply(seq(1,nbitems),function(x) paste0('item',x))]
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if (method=='MML') {
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n <- max(df[,sequence])
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print(n)
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tam1 <- lapply(seq(1,n),
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function(x) pcm_analysis(df=df[df[,sequence]==x,],treatment=treatment,irtmodel=irtmodel)
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)
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}
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listitems <- sapply(seq(1,nbitems),function(x) paste0('item',x))
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returndat <- data.frame(matrix(nrow=max(df[,sequence]),ncol=length(listitems)))
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colnames(returndat) <- listitems
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for (s in seq(1,max(df[,sequence]))) {
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for (k in seq(1,nbitems)) {
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returndat[s,paste0('item',k)] <- tam1[[s]]$xsi$xsi[k]
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}
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}
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returndat$beta <- sapply(seq(1,max(df[,sequence])),function(k) tam1[[k]]$beta[2])
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returndat$se.beta <- 1.413612*sapply(seq(1,max(df[,sequence])),function(k) tam.se(tam1[[k]])$beta$se.Dim1[2] )
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returndat$low.ci.beta <- returndat$beta-1.96*returndat$se.beta
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returndat$high.ci.beta <- returndat$beta+1.96*returndat$se.beta
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returndat$true.value.in.ci <- 1*(truebeta>returndat$low.ci.beta & truebeta<returndat$high.ci.beta)
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returndat$h0.rejected <- 1*(0<returndat$low.ci.beta | 0>returndat$high.ci.beta)
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if (truebeta==0) {
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returndat$beta.same.sign.truebeta <- NA
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} else {
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returndat$beta.same.sign.truebeta <- 1*(sign(truebeta)==sign(returndat$beta))
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}
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returndat2 <- data.frame(J=rep(nbitems,max(df[,sequence])),
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M=1+max(df$item1),
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N=nrow(df[df$replication==1,])/2,
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eff.size=truebeta,
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dif.size= difsize,
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nb.dif= nbdif
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)
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returndat <- cbind(returndat2,returndat)
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return(returndat)
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}
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replicate_pcm_analysis<- function(df=NULL,treatment='TT',irtmodel='PCM2',method='MML',sequence='replication',eff.size=0,difsize=NA,nbdif=0) {
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j <- max(df$item1)
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if(j==1) {
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return(replicate_pcm_analysis_m2(df=df,treatment=treatment,irtmodel=irtmodel,method=method,sequence=sequence,eff.size=eff.size,difsize=difsize,nbdif=nbdif))
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} else {
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return(replicate_pcm_analysis_m4(df=df,treatment=treatment,irtmodel=irtmodel,method=method,sequence=sequence,eff.size=eff.size,difsize=difsize,nbdif=nbdif))
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}
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}
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##############################################################################
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#----------------------------------------------------------------------------#
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########################## SCENARIO ANALYSIS NO DIF ##########################
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#----------------------------------------------------------------------------#
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##############################################################################
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registerDoMC(4)
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###################################### Scenario 1: J=4 / M=2
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#### A: H0 TRUE
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N100/scenario_1A_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N200/scenario_1A_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N300/scenario_1A_300.csv')
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res <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x)))
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write.csv(res[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/NoDIF/N100/scenario_1A_100.csv')
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write.csv(res[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/NoDIF/N200/scenario_1A_200.csv')
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write.csv(res[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/NoDIF/N300/scenario_1A_300.csv')
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#### B: H1 TRUE / ES 0.2
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N100/scenario_1B_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N200/scenario_1B_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N300/scenario_1B_300.csv')
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res <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),eff.size = 0.2))
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write.csv(res[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/NoDIF/N100/scenario_1B_100.csv')
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write.csv(res[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/NoDIF/N200/scenario_1B_200.csv')
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write.csv(res[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/NoDIF/N300/scenario_1B_300.csv')
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#### C: H1 TRUE / ES 0.4
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N100/scenario_1C_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N200/scenario_1C_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N300/scenario_1C_300.csv')
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res <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),eff.size = 0.4))
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write.csv(res[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/NoDIF/N100/scenario_1C_100.csv')
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write.csv(res[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/NoDIF/N200/scenario_1C_200.csv')
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write.csv(res[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/NoDIF/N300/scenario_1C_300.csv')
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#### D: H1 TRUE / ES -0.2
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N100/scenario_1D_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N200/scenario_1D_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N300/scenario_1D_300.csv')
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res <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),eff.size = -0.2))
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write.csv(res[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/NoDIF/N100/scenario_1D_100.csv')
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write.csv(res[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/NoDIF/N200/scenario_1D_200.csv')
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write.csv(res[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/NoDIF/N300/scenario_1D_300.csv')
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#### E: H1 TRUE / ES -0.4
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N100/scenario_1E_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N200/scenario_1E_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N300/scenario_1E_300.csv')
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res <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),eff.size = -0.4))
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write.csv(res[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/NoDIF/N100/scenario_1E_100.csv')
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write.csv(res[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/NoDIF/N200/scenario_1E_200.csv')
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write.csv(res[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/NoDIF/N300/scenario_1E_300.csv')
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###################################### Scenario 2: J=4 / M=4
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#### A: H0 TRUE
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N100/scenario_2A_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N200/scenario_2A_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N300/scenario_2A_300.csv')
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res <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x)))
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write.csv(res[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/NoDIF/N100/scenario_2A_100.csv')
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write.csv(res[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/NoDIF/N200/scenario_2A_200.csv')
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write.csv(res[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/NoDIF/N300/scenario_2A_300.csv')
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#### B: H1 TRUE / ES 0.2
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N100/scenario_2B_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N200/scenario_2B_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N300/scenario_2B_300.csv')
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res <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),eff.size = 0.2))
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write.csv(res[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/NoDIF/N100/scenario_2B_100.csv')
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write.csv(res[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/NoDIF/N200/scenario_2B_200.csv')
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write.csv(res[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/NoDIF/N300/scenario_2B_300.csv')
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#### C: H1 TRUE / ES 0.4
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N100/scenario_2C_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N200/scenario_2C_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N300/scenario_2C_300.csv')
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res <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),eff.size = 0.4))
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write.csv(res[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/NoDIF/N100/scenario_2C_100.csv')
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write.csv(res[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/NoDIF/N200/scenario_2C_200.csv')
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write.csv(res[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/NoDIF/N300/scenario_2C_300.csv')
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#### D: H1 TRUE / ES -0.2
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N100/scenario_2D_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N200/scenario_2D_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N300/scenario_2D_300.csv')
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res <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),eff.size = -0.2))
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write.csv(res[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/NoDIF/N100/scenario_2D_100.csv')
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write.csv(res[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/NoDIF/N200/scenario_2D_200.csv')
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write.csv(res[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/NoDIF/N300/scenario_2D_300.csv')
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#### E: H1 TRUE / ES -0.4
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N100/scenario_2E_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N200/scenario_2E_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N300/scenario_2E_300.csv')
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res <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),eff.size = -0.4))
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write.csv(res[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/NoDIF/N100/scenario_2E_100.csv')
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write.csv(res[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/NoDIF/N200/scenario_2E_200.csv')
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write.csv(res[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/NoDIF/N300/scenario_2E_300.csv')
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###################################### Scenario 3: J=7 / M=2
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#### A: H0 TRUE
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N100/scenario_3A_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N200/scenario_3A_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N300/scenario_3A_300.csv')
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res <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x)))
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write.csv(res[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/NoDIF/N100/scenario_3A_100.csv')
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write.csv(res[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/NoDIF/N200/scenario_3A_200.csv')
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write.csv(res[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/NoDIF/N300/scenario_3A_300.csv')
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#### B: H1 TRUE / ES 0.2
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N100/scenario_3B_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N200/scenario_3B_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N300/scenario_3B_300.csv')
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res <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),eff.size = 0.2))
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write.csv(res[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/NoDIF/N100/scenario_3B_100.csv')
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write.csv(res[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/NoDIF/N200/scenario_3B_200.csv')
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write.csv(res[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/NoDIF/N300/scenario_3B_300.csv')
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#### C: H1 TRUE / ES 0.4
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N100/scenario_3C_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N200/scenario_3C_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N300/scenario_3C_300.csv')
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res <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),eff.size = 0.4))
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write.csv(res[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/NoDIF/N100/scenario_3C_100.csv')
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write.csv(res[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/NoDIF/N200/scenario_3C_200.csv')
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write.csv(res[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/NoDIF/N300/scenario_3C_300.csv')
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#### D: H1 TRUE / ES -0.2
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N100/scenario_3D_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N200/scenario_3D_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N300/scenario_3D_300.csv')
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res <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),eff.size = -0.2))
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write.csv(res[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/NoDIF/N100/scenario_3D_100.csv')
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write.csv(res[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/NoDIF/N200/scenario_3D_200.csv')
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write.csv(res[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/NoDIF/N300/scenario_3D_300.csv')
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#### E: H1 TRUE / ES -0.4
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N100/scenario_3E_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N200/scenario_3E_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N300/scenario_3E_300.csv')
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res <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),eff.size = -0.4))
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write.csv(res[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/NoDIF/N100/scenario_3E_100.csv')
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write.csv(res[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/NoDIF/N200/scenario_3E_200.csv')
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write.csv(res[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/NoDIF/N300/scenario_3E_300.csv')
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###################################### Scenario 4: J=7 / M=4
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#### A: H0 TRUE
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N100/scenario_4A_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N200/scenario_4A_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N300/scenario_4A_300.csv')
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res <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x)))
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write.csv(res[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/NoDIF/N100/scenario_4A_100.csv')
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write.csv(res[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/NoDIF/N200/scenario_4A_200.csv')
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write.csv(res[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/NoDIF/N300/scenario_4A_300.csv')
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#### B: H1 TRUE / ES 0.2
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N100/scenario_4B_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N200/scenario_4B_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N300/scenario_4B_300.csv')
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res <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),eff.size = 0.2))
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write.csv(res[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/NoDIF/N100/scenario_4B_100.csv')
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write.csv(res[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/NoDIF/N200/scenario_4B_200.csv')
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write.csv(res[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/NoDIF/N300/scenario_4B_300.csv')
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#### C: H1 TRUE / ES 0.4
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N100/scenario_4C_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N200/scenario_4C_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N300/scenario_4C_300.csv')
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res <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),eff.size = 0.4))
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write.csv(res[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/NoDIF/N100/scenario_4C_100.csv')
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write.csv(res[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/NoDIF/N200/scenario_4C_200.csv')
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write.csv(res[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/NoDIF/N300/scenario_4C_300.csv')
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#### D: H1 TRUE / ES -0.2
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N100/scenario_4D_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N200/scenario_4D_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N300/scenario_4D_300.csv')
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res <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),eff.size = -0.2))
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write.csv(res[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/NoDIF/N100/scenario_4D_100.csv')
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write.csv(res[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/NoDIF/N200/scenario_4D_200.csv')
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write.csv(res[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/NoDIF/N300/scenario_4D_300.csv')
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#### E: H1 TRUE / ES -0.4
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N100/scenario_4E_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N200/scenario_4E_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N300/scenario_4E_300.csv')
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res <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),eff.size = -0.4))
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write.csv(res[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/NoDIF/N100/scenario_4E_100.csv')
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write.csv(res[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/NoDIF/N200/scenario_4E_200.csv')
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write.csv(res[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/NoDIF/N300/scenario_4E_300.csv')
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##############################################################################
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#----------------------------------------------------------------------------#
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######################### SCENARIO ANALYSIS WITH DIF #########################
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#----------------------------------------------------------------------------#
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##############################################################################
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registerDoMC(4)
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###################################### Scenario 5: J=4 / M=2 / NDIF=1 / DIF=0.3
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#### A: H0 TRUE
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_5A_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_5A_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_5A_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_5A_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_5A_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_5A_300_nodif.csv')
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#### B: H1 TRUE / ES = 0.2 / DS = 0.3
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_5B_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_5B_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_5B_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3,eff.size = 0.2))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3,eff.size = 0.2))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_5B_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_5B_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_5B_300_nodif.csv')
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#### C: H1 TRUE / ES = 0.2 / DS = -0.3
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_5C_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_5C_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_5C_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = 0.2))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = 0.2))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_5C_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_5C_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_5C_300_nodif.csv')
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#### D: H1 TRUE / ES = 0.4 / DS = 0.3
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_5D_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_5D_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_5D_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3,eff.size = 0.4))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3,eff.size = 0.4))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_5D_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_5D_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_5D_300_nodif.csv')
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#### E: H1 TRUE / ES = 0.4 / DS = -0.3
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_5E_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_5E_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_5E_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = 0.4))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = 0.4))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_5E_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_5E_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_5E_300_nodif.csv')
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#### F: H1 TRUE / ES = 0.2 / DS = 0.3
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_5F_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_5F_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_5F_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = -0.2))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = -0.2))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_5F_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_5F_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_5F_300_nodif.csv')
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#### G: H1 TRUE / ES = 0.2 / DS = -0.3
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_5G_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_5G_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_5G_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = -0.4))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = -0.4))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_5G_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_5G_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_5G_300_nodif.csv')
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###################################### Scenario 6: J=4 / M=4 / NDIF=1 / DIF=0.3
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#### A: H0 TRUE
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|
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_6A_100.csv')
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|
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_6A_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_6A_300.csv')
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|
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3))
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|
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3))
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|
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_6A_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_6A_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_6A_300_nodif.csv')
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#### B: H1 TRUE / ES = 0.2 / DS = 0.3
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_6B_100.csv')
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|
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_6B_200.csv')
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|
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_6B_300.csv')
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|
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3,eff.size = 0.2))
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|
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3,eff.size = 0.2))
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|
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_6B_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_6B_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_6B_300_nodif.csv')
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#### C: H1 TRUE / ES = 0.2 / DS = -0.3
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_6C_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_6C_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_6C_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = 0.2))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = 0.2))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_6C_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_6C_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_6C_300_nodif.csv')
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#### D: H1 TRUE / ES = 0.4 / DS = 0.3
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_6D_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_6D_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_6D_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3,eff.size = 0.4))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3,eff.size = 0.4))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_6D_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_6D_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_6D_300_nodif.csv')
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#### E: H1 TRUE / ES = 0.4 / DS = -0.3
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_6E_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_6E_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_6E_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = 0.4))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = 0.4))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_6E_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_6E_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_6E_300_nodif.csv')
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#### F: H1 TRUE / ES = 0.2 / DS = 0.3
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_6F_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_6F_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_6F_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = -0.2))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = -0.2))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_6F_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_6F_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_6F_300_nodif.csv')
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#### G: H1 TRUE / ES = 0.2 / DS = -0.3
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_6G_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_6G_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_6G_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = -0.4))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = -0.4))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_6G_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_6G_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_6G_300_nodif.csv')
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###################################### Scenario 7: J=4 / M=2 / NDIF=1 / DIF=0.5
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#### A: H0 TRUE
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_7A_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_7A_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_7A_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_7A_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_7A_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_7A_300_nodif.csv')
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#### B: H1 TRUE / ES = 0.2 / DS = 0.3
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_7B_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_7B_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_7B_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5,eff.size = 0.2))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5,eff.size = 0.2))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_7B_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_7B_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_7B_300_nodif.csv')
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#### C: H1 TRUE / ES = 0.2 / DS = -0.3
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_7C_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_7C_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_7C_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = 0.2))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = 0.2))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_7C_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_7C_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_7C_300_nodif.csv')
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#### D: H1 TRUE / ES = 0.4 / DS = 0.3
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_7D_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_7D_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_7D_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5,eff.size = 0.4))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5,eff.size = 0.4))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_7D_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_7D_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_7D_300_nodif.csv')
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#### E: H1 TRUE / ES = 0.4 / DS = -0.3
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_7E_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_7E_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_7E_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = 0.4))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = 0.4))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_7E_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_7E_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_7E_300_nodif.csv')
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#### F: H1 TRUE / ES = 0.2 / DS = 0.3
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_7F_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_7F_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_7F_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = -0.2))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = -0.2))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_7F_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_7F_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_7F_300_nodif.csv')
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#### G: H1 TRUE / ES = 0.2 / DS = -0.3
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_7G_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_7G_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_7G_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = -0.4))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = -0.4))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_7G_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_7G_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_7G_300_nodif.csv')
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###################################### Scenario 8: J=4 / M=4 / NDIF=1 / DIF=0.5
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#### A: H0 TRUE
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_8A_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_8A_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_8A_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_8A_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_8A_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_8A_300_nodif.csv')
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#### B: H1 TRUE / ES = 0.2 / DS = 0.3
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_8B_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_8B_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_8B_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5,eff.size = 0.2))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5,eff.size = 0.2))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_8B_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_8B_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_8B_300_nodif.csv')
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#### C: H1 TRUE / ES = 0.2 / DS = -0.3
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_8C_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_8C_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_8C_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = 0.2))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = 0.2))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_8C_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_8C_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_8C_300_nodif.csv')
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#### D: H1 TRUE / ES = 0.4 / DS = 0.3
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_8D_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_8D_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_8D_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5,eff.size = 0.4))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5,eff.size = 0.4))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_8D_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_8D_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_8D_300_nodif.csv')
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#### E: H1 TRUE / ES = 0.4 / DS = -0.3
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_8E_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_8E_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_8E_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = 0.4))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = 0.4))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_8E_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_8E_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_8E_300_nodif.csv')
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#### F: H1 TRUE / ES = 0.2 / DS = 0.3
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_8F_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_8F_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_8F_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = -0.2))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = -0.2))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_8F_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_8F_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_8F_300_nodif.csv')
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#### G: H1 TRUE / ES = 0.2 / DS = -0.3
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_8G_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_8G_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_8G_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = -0.4))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = -0.4))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_8G_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_8G_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_8G_300_nodif.csv')
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###################################### Scenario 9: J=4 / M=2 / NDIF=2 / DIF=0.3
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#### A: H0 TRUE
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_9A_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_9A_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_9A_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_9A_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_9A_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_9A_300_nodif.csv')
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#### B: H1 TRUE / ES = 0.2 / DS = 0.3
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_9B_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_9B_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_9B_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3,eff.size = 0.2))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3,eff.size = 0.2))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_9B_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_9B_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_9B_300_nodif.csv')
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#### C: H1 TRUE / ES = 0.2 / DS = -0.3
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_9C_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_9C_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_9C_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = 0.2))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = 0.2))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_9C_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_9C_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_9C_300_nodif.csv')
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#### D: H1 TRUE / ES = 0.4 / DS = 0.3
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_9D_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_9D_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_9D_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3,eff.size = 0.4))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3,eff.size = 0.4))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_9D_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_9D_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_9D_300_nodif.csv')
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#### E: H1 TRUE / ES = 0.4 / DS = -0.3
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_9E_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_9E_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_9E_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = 0.4))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = 0.4))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_9E_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_9E_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_9E_300_nodif.csv')
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#### F: H1 TRUE / ES = 0.2 / DS = 0.3
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_9F_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_9F_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_9F_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = -0.2))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = -0.2))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_9F_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_9F_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_9F_300_nodif.csv')
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#### G: H1 TRUE / ES = 0.2 / DS = -0.3
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_9G_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_9G_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_9G_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = -0.4))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = -0.4))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_9G_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_9G_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_9G_300_nodif.csv')
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###################################### Scenario 10: J=4 / M=4 / NDIF=2 / DIF=0.3
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#### A: H0 TRUE
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_10A_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_10A_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_10A_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_10A_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_10A_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_10A_300_nodif.csv')
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#### B: H1 TRUE / ES = 0.2 / DS = 0.3
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_10B_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_10B_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_10B_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3,eff.size = 0.2))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3,eff.size = 0.2))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_10B_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_10B_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_10B_300_nodif.csv')
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#### C: H1 TRUE / ES = 0.2 / DS = -0.3
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_10C_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_10C_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_10C_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = 0.2))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = 0.2))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_10C_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_10C_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_10C_300_nodif.csv')
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#### D: H1 TRUE / ES = 0.4 / DS = 0.3
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_10D_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_10D_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_10D_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3,eff.size = 0.4))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3,eff.size = 0.4))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_10D_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_10D_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_10D_300_nodif.csv')
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#### E: H1 TRUE / ES = 0.4 / DS = -0.3
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_10E_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_10E_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_10E_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = 0.4))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = 0.4))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_10E_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_10E_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_10E_300_nodif.csv')
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#### F: H1 TRUE / ES = 0.2 / DS = 0.3
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_10F_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_10F_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_10F_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = -0.2))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = -0.2))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_10F_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_10F_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_10F_300_nodif.csv')
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#### G: H1 TRUE / ES = 0.2 / DS = -0.3
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_10G_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_10G_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_10G_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = -0.4))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = -0.4))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_10G_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_10G_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_10G_300_nodif.csv')
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###################################### Scenario 11: J=4 / M=2 / NDIF=2 / DIF=0.5
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#### A: H0 TRUE
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_11A_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_11A_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_11A_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_11A_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_11A_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_11A_300_nodif.csv')
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#### B: H1 TRUE / ES = 0.2 / DS = 0.3
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_11B_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_11B_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_11B_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5,eff.size = 0.2))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5,eff.size = 0.2))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_11B_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_11B_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_11B_300_nodif.csv')
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#### C: H1 TRUE / ES = 0.2 / DS = -0.3
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_11C_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_11C_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_11C_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = 0.2))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = 0.2))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_11C_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_11C_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_11C_300_nodif.csv')
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#### D: H1 TRUE / ES = 0.4 / DS = 0.3
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_11D_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_11D_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_11D_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5,eff.size = 0.4))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5,eff.size = 0.4))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_11D_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_11D_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_11D_300_nodif.csv')
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#### E: H1 TRUE / ES = 0.4 / DS = -0.3
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_11E_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_11E_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_11E_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = 0.4))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = 0.4))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_11E_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_11E_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_11E_300_nodif.csv')
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#### F: H1 TRUE / ES = 0.2 / DS = 0.3
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_11F_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_11F_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_11F_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = -0.2))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = -0.2))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_11F_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_11F_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_11F_300_nodif.csv')
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#### G: H1 TRUE / ES = 0.2 / DS = -0.3
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_11G_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_11G_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_11G_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = -0.4))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = -0.4))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_11G_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_11G_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_11G_300_nodif.csv')
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###################################### Scenario 12: J=4 / M=4 / NDIF=2 / DIF=0.5
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#### A: H0 TRUE
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_12A_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_12A_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_12A_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_12A_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_12A_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_12A_300_nodif.csv')
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#### B: H1 TRUE / ES = 0.2 / DS = 0.3
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_12B_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_12B_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_12B_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5,eff.size = 0.2))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5,eff.size = 0.2))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_12B_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_12B_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_12B_300_nodif.csv')
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#### C: H1 TRUE / ES = 0.2 / DS = -0.3
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_12C_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_12C_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_12C_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = 0.2))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = 0.2))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_12C_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_12C_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_12C_300_nodif.csv')
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#### D: H1 TRUE / ES = 0.4 / DS = 0.3
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_12D_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_12D_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_12D_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5,eff.size = 0.4))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5,eff.size = 0.4))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_12D_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_12D_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_12D_300_nodif.csv')
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#### E: H1 TRUE / ES = 0.4 / DS = -0.3
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_12E_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_12E_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_12E_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = 0.4))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = 0.4))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_12E_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_12E_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_12E_300_nodif.csv')
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#### F: H1 TRUE / ES = 0.2 / DS = 0.3
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_12F_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_12F_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_12F_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = -0.2))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = -0.2))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_12F_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_12F_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_12F_300_nodif.csv')
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#### G: H1 TRUE / ES = 0.2 / DS = -0.3
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_12G_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_12G_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_12G_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = -0.4))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = -0.4))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_12G_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_12G_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_12G_300_nodif.csv')
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###################################### Scenario 13: J=7 / M=2 / NDIF=2 / DIF=0.3
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#### A: H0 TRUE
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_13A_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_13A_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_13A_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_13A_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_13A_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_13A_300_nodif.csv')
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#### B: H1 TRUE / ES = 0.2 / DS = 0.3
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_13B_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_13B_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_13B_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3,eff.size = 0.2))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3,eff.size = 0.2))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_13B_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_13B_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_13B_300_nodif.csv')
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#### C: H1 TRUE / ES = 0.2 / DS = -0.3
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_13C_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_13C_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_13C_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = 0.2))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = 0.2))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_13C_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_13C_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_13C_300_nodif.csv')
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#### D: H1 TRUE / ES = 0.4 / DS = 0.3
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_13D_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_13D_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_13D_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3,eff.size = 0.4))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3,eff.size = 0.4))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_13D_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_13D_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_13D_300_nodif.csv')
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#### E: H1 TRUE / ES = 0.4 / DS = -0.3
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_13E_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_13E_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_13E_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = 0.4))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = 0.4))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_13E_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_13E_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_13E_300_nodif.csv')
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#### F: H1 TRUE / ES = 0.2 / DS = 0.3
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_13F_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_13F_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_13F_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = -0.2))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = -0.2))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_13F_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_13F_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_13F_300_nodif.csv')
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#### G: H1 TRUE / ES = 0.2 / DS = -0.3
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_13G_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_13G_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_13G_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = -0.4))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = -0.4))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_13G_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_13G_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_13G_300_nodif.csv')
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###################################### Scenario 14: J=7 / M=4 / NDIF=2 / DIF=0.3
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#### A: H0 TRUE
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_14A_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_14A_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_14A_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_14A_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_14A_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_14A_300_nodif.csv')
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#### B: H1 TRUE / ES = 0.2 / DS = 0.3
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_14B_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_14B_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_14B_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3,eff.size = 0.2))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3,eff.size = 0.2))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_14B_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_14B_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_14B_300_nodif.csv')
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#### C: H1 TRUE / ES = 0.2 / DS = -0.3
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_14C_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_14C_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_14C_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = 0.2))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = 0.2))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_14C_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_14C_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_14C_300_nodif.csv')
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#### D: H1 TRUE / ES = 0.4 / DS = 0.3
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_14D_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_14D_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_14D_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3,eff.size = 0.4))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3,eff.size = 0.4))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_14D_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_14D_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_14D_300_nodif.csv')
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#### E: H1 TRUE / ES = 0.4 / DS = -0.3
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_14E_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_14E_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_14E_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = 0.4))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = 0.4))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_14E_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_14E_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_14E_300_nodif.csv')
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#### F: H1 TRUE / ES = 0.2 / DS = 0.3
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_14F_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_14F_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_14F_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = -0.2))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = -0.2))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_14F_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_14F_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_14F_300_nodif.csv')
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#### G: H1 TRUE / ES = 0.2 / DS = -0.3
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_14G_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_14G_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_14G_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = -0.4))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = -0.4))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_14G_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_14G_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_14G_300_nodif.csv')
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###################################### Scenario 15: J=7 / M=2 / NDIF=2 / DIF=0.5
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#### A: H0 TRUE
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_15A_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_15A_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_15A_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_15A_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_15A_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_15A_300_nodif.csv')
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#### B: H1 TRUE / ES = 0.2 / DS = 0.3
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_15B_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_15B_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_15B_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5,eff.size = 0.2))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5,eff.size = 0.2))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_15B_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_15B_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_15B_300_nodif.csv')
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#### C: H1 TRUE / ES = 0.2 / DS = -0.3
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_15C_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_15C_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_15C_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = 0.2))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = 0.2))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_15C_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_15C_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_15C_300_nodif.csv')
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#### D: H1 TRUE / ES = 0.4 / DS = 0.3
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_15D_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_15D_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_15D_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5,eff.size = 0.4))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5,eff.size = 0.4))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_15D_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_15D_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_15D_300_nodif.csv')
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#### E: H1 TRUE / ES = 0.4 / DS = -0.3
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_15E_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_15E_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_15E_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = 0.4))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = 0.4))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_15E_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_15E_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_15E_300_nodif.csv')
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#### F: H1 TRUE / ES = 0.2 / DS = 0.3
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_15F_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_15F_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_15F_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = -0.2))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = -0.2))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_15F_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_15F_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_15F_300_nodif.csv')
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#### G: H1 TRUE / ES = 0.2 / DS = -0.3
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_15G_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_15G_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_15G_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = -0.4))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = -0.4))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_15G_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_15G_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_15G_300_nodif.csv')
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###################################### Scenario 16: J=7 / M=4 / NDIF=2 / DIF=0.5
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#### A: H0 TRUE
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_16A_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_16A_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_16A_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_16A_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_16A_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_16A_300_nodif.csv')
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#### B: H1 TRUE / ES = 0.2 / DS = 0.3
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_16B_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_16B_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_16B_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5,eff.size = 0.2))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5,eff.size = 0.2))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_16B_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_16B_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_16B_300_nodif.csv')
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#### C: H1 TRUE / ES = 0.2 / DS = -0.3
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_16C_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_16C_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_16C_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = 0.2))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = 0.2))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_16C_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_16C_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_16C_300_nodif.csv')
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#### D: H1 TRUE / ES = 0.4 / DS = 0.3
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_16D_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_16D_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_16D_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5,eff.size = 0.4))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5,eff.size = 0.4))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_16D_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_16D_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_16D_300_nodif.csv')
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#### E: H1 TRUE / ES = 0.4 / DS = -0.3
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_16E_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_16E_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_16E_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = 0.4))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = 0.4))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_16E_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_16E_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_16E_300_nodif.csv')
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#### F: H1 TRUE / ES = 0.2 / DS = 0.3
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_16F_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_16F_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_16F_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = -0.2))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = -0.2))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_16F_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_16F_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_16F_300_nodif.csv')
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#### G: H1 TRUE / ES = 0.2 / DS = -0.3
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_16G_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_16G_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_16G_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = -0.4))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = -0.4))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_16G_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_16G_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_16G_300_nodif.csv')
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###################################### Scenario 17: J=7 / M=2 / NDIF=3 / DIF=0.3
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#### A: H0 TRUE
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_17A_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_17A_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_17A_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_17A_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_17A_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_17A_300_nodif.csv')
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#### B: H1 TRUE / ES = 0.2 / DS = 0.3
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_17B_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_17B_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_17B_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3,eff.size = 0.2))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3,eff.size = 0.2))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_17B_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_17B_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_17B_300_nodif.csv')
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#### C: H1 TRUE / ES = 0.2 / DS = -0.3
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_17C_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_17C_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_17C_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = 0.2))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = 0.2))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_17C_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_17C_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_17C_300_nodif.csv')
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#### D: H1 TRUE / ES = 0.4 / DS = 0.3
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_17D_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_17D_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_17D_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3,eff.size = 0.4))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3,eff.size = 0.4))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_17D_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_17D_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_17D_300_nodif.csv')
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#### E: H1 TRUE / ES = 0.4 / DS = -0.3
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_17E_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_17E_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_17E_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = 0.4))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = 0.4))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_17E_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_17E_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_17E_300_nodif.csv')
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#### F: H1 TRUE / ES = 0.2 / DS = 0.3
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_17F_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_17F_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_17F_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = -0.2))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = -0.2))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_17F_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_17F_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_17F_300_nodif.csv')
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#### G: H1 TRUE / ES = 0.2 / DS = -0.3
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_17G_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_17G_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_17G_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = -0.4))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = -0.4))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_17G_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_17G_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_17G_300_nodif.csv')
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###################################### Scenario 18: J=7 / M=4 / NDIF=3 / DIF=0.3
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#### A: H0 TRUE
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_18A_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_18A_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_18A_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_18A_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_18A_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_18A_300_nodif.csv')
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#### B: H1 TRUE / ES = 0.2 / DS = 0.3
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_18B_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_18B_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_18B_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3,eff.size = 0.2))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3,eff.size = 0.2))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_18B_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_18B_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_18B_300_nodif.csv')
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#### C: H1 TRUE / ES = 0.2 / DS = -0.3
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_18C_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_18C_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_18C_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = 0.2))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = 0.2))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_18C_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_18C_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_18C_300_nodif.csv')
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#### D: H1 TRUE / ES = 0.4 / DS = 0.3
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_18D_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_18D_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_18D_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3,eff.size = 0.4))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3,eff.size = 0.4))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_18D_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_18D_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_18D_300_nodif.csv')
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#### E: H1 TRUE / ES = 0.4 / DS = -0.3
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_18E_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_18E_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_18E_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = 0.4))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = 0.4))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_18E_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_18E_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_18E_300_nodif.csv')
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#### F: H1 TRUE / ES = 0.2 / DS = 0.3
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_18F_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_18F_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_18F_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = -0.2))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = -0.2))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_18F_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_18F_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_18F_300_nodif.csv')
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#### G: H1 TRUE / ES = 0.2 / DS = -0.3
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_18G_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_18G_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_18G_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = -0.4))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = -0.4))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_18G_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_18G_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_18G_300_nodif.csv')
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###################################### Scenario 19: J=7 / M=2 / NDIF=3 / DIF=0.5
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#### A: H0 TRUE
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_19A_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_19A_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_19A_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_19A_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_19A_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_19A_300_nodif.csv')
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#### B: H1 TRUE / ES = 0.2 / DS = 0.3
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_19B_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_19B_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_19B_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5,eff.size = 0.2))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5,eff.size = 0.2))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_19B_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_19B_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_19B_300_nodif.csv')
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#### C: H1 TRUE / ES = 0.2 / DS = -0.3
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_19C_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_19C_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_19C_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = 0.2))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = 0.2))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_19C_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_19C_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_19C_300_nodif.csv')
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#### D: H1 TRUE / ES = 0.4 / DS = 0.3
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_19D_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_19D_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_19D_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5,eff.size = 0.4))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5,eff.size = 0.4))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_19D_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_19D_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_19D_300_nodif.csv')
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#### E: H1 TRUE / ES = 0.4 / DS = -0.3
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_19E_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_19E_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_19E_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = 0.4))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = 0.4))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_19E_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_19E_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_19E_300_nodif.csv')
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#### F: H1 TRUE / ES = 0.2 / DS = 0.3
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_19F_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_19F_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_19F_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = -0.2))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = -0.2))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_19F_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_19F_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_19F_300_nodif.csv')
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#### G: H1 TRUE / ES = 0.2 / DS = -0.3
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_19G_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_19G_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_19G_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = -0.4))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = -0.4))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_19G_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_19G_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_19G_300_nodif.csv')
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###################################### Scenario 20: J=7 / M=4 / NDIF=3 / DIF=0.5
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#### A: H0 TRUE
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_20A_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_20A_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_20A_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_20A_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_20A_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_20A_300_nodif.csv')
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#### B: H1 TRUE / ES = 0.2 / DS = 0.3
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_20B_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_20B_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_20B_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5,eff.size = 0.2))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5,eff.size = 0.2))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_20B_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_20B_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_20B_300_nodif.csv')
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#### C: H1 TRUE / ES = 0.2 / DS = -0.3
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_20C_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_20C_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_20C_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = 0.2))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = 0.2))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_20C_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_20C_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_20C_300_nodif.csv')
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#### D: H1 TRUE / ES = 0.4 / DS = 0.3
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_20D_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_20D_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_20D_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5,eff.size = 0.4))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5,eff.size = 0.4))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_20D_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_20D_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_20D_300_nodif.csv')
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#### E: H1 TRUE / ES = 0.4 / DS = -0.3
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_20E_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_20E_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_20E_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = 0.4))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = 0.4))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_20E_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_20E_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_20E_300_nodif.csv')
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#### F: H1 TRUE / ES = 0.2 / DS = 0.3
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_20F_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_20F_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_20F_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = -0.2))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = -0.2))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_20F_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_20F_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_20F_300_nodif.csv')
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#### G: H1 TRUE / ES = 0.2 / DS = -0.3
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dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_20G_100.csv')
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dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_20G_200.csv')
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dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_20G_300.csv')
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = -0.4))
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res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = -0.4))
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write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N100/scenario_20G_100_nodif.csv')
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write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N200/scenario_20G_200_nodif.csv')
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write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulation/Analysis/DIF/N300/scenario_20G_300_nodif.csv')
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##############################################################################
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#----------------------------------------------------------------------------#
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################################# AGGREGATION ################################
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#----------------------------------------------------------------------------#
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##############################################################################
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#### Create data.frame
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results <- c(sapply(1:4,function(x) paste0(x,c('A','B','C','D','E'))),sapply(5:9,function(x) paste0(x,c('A','B','C','D','E','F','G'))))
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results2 <- c(sapply(10:20,function(x) paste0(x,c('A','B','C','D','E','F','G'))))
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results <- c(sapply(c(100,200,300),function(x) paste0(results,'_',x)))
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results2 <- c(sapply(c(100,200,300),function(x) paste0(results2,'_',x)))
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results <- sort(results)
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results2 <- sort(results2)
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results <- c(results,results2)
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#### Compiler function
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compile_simulation <- function(scenario) {
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name <- as.numeric(gsub("[^0-9.-]", "", substr(scenario,start=0,stop=2)))
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if (substr(scenario,start=nchar(scenario)-2,stop=nchar(scenario))=="100" & name<=4) {
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s <- read.csv(paste0('/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N100/scenario_',scenario,'.csv'))
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}
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if (substr(scenario,start=nchar(scenario)-2,stop=nchar(scenario))=="100" & name>4) {
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s <- read.csv(paste0('/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N100/scenario_',scenario,'_nodif.csv'))
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}
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if (substr(scenario,start=nchar(scenario)-2,stop=nchar(scenario))=="200" & name<=4) {
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s <- read.csv(paste0('/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N200/scenario_',scenario,'.csv'))
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}
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if (substr(scenario,start=nchar(scenario)-2,stop=nchar(scenario))=="200" & name>4) {
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s <- read.csv(paste0('/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N200/scenario_',scenario,'_nodif.csv'))
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}
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if (substr(scenario,start=nchar(scenario)-2,stop=nchar(scenario))=="300" & name<=4) {
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s <- read.csv(paste0('/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N300/scenario_',scenario,'.csv'))
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}
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if (substr(scenario,start=nchar(scenario)-2,stop=nchar(scenario))=="300" & name>4) {
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s <- read.csv(paste0('/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N300/scenario_',scenario,'_nodif.csv'))
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}
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if (unique(s$J)==4) {
|
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if (unique(s$M)==2) {
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a <- data.frame(m.item1=mean(s$item1),m.item2=mean(s$item2),m.item3=mean(s$item3),m.item4=mean(s$item4))
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} else {
|
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a <- data.frame(m.item1_1=mean(s$item1_1),m.item1_2=mean(s$item1_2),m.item1_3=mean(s$item1_3),
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m.item2_1=mean(s$item2_1),m.item2_2=mean(s$item2_2),m.item2_3=mean(s$item2_3),
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m.item3_1=mean(s$item3_1),m.item3_2=mean(s$item3_2),m.item3_3=mean(s$item3_3),
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m.item4_1=mean(s$item4_1),m.item4_2=mean(s$item4_2),m.item4_3=mean(s$item4_3)
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)
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}
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} else {
|
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if (unique(s$M)==2) {
|
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a <- data.frame(m.item1=mean(s$item1),m.item2=mean(s$item2),m.item3=mean(s$item3),m.item4=mean(s$item4),
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m.item5=mean(s$item5),m.item6=mean(s$item6),m.item7=mean(s$item7))
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} else {
|
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a <- data.frame(m.item1_1=mean(s$item1_1),m.item1_2=mean(s$item1_2),m.item1_3=mean(s$item1_3),
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m.item2_1=mean(s$item2_1),m.item2_2=mean(s$item2_2),m.item2_3=mean(s$item2_3),
|
|
m.item3_1=mean(s$item3_1),m.item3_2=mean(s$item3_2),m.item3_3=mean(s$item3_3),
|
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m.item4_1=mean(s$item4_1),m.item4_2=mean(s$item4_2),m.item4_3=mean(s$item4_3),
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m.item5_1=mean(s$item5_1),m.item5_2=mean(s$item5_2),m.item5_3=mean(s$item5_3),
|
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m.item6_1=mean(s$item6_1),m.item6_2=mean(s$item6_2),m.item6_3=mean(s$item6_3),
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m.item7_1=mean(s$item7_1),m.item7_2=mean(s$item7_2),m.item7_3=mean(s$item7_3)
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)
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|
}
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}
|
|
zz <- substr(scenario,start=0,stop=nchar(scenario)-4)
|
|
b <- data.frame(scenario=zz,
|
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scenario.type=substr(zz,start=nchar(zz),stop=nchar(zz)),
|
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N=substr(scenario,start=nchar(scenario)-2,stop=nchar(scenario)),
|
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J=unique(s$J),
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M=unique(s$M),
|
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eff.size=unique(s$eff.size),
|
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nb.dif=unique(s$nb.dif),
|
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dif.size=unique(s$dif.size)
|
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)
|
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z <- data.frame(m.beta=mean(s$beta),
|
|
m.low.ci.beta=mean(s$low.ci.beta),
|
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m.high.ci.beta=mean(s$high.ci.beta),
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|
true.value.in.ci.p=mean(s$true.value.in.ci),
|
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h0.rejected.p=mean(s$h0.rejected),
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|
beta.same.sign.truebeta.p=mean(s$beta.same.sign.truebeta,na.rm=T))
|
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d <- cbind(b,a,z)
|
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d$prop.
|
|
return(d)
|
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}
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|
|
#### Compiled results
|
|
|
|
res.dat <- compile_simulation('1A_100')
|
|
|
|
for (x in results[seq(2,length(results))]) {
|
|
y <- compile_simulation(x)
|
|
res.dat <- bind_rows(res.dat,y)
|
|
}
|
|
res.dat[is.na(res.dat$dif.size),'dif.size'] <- 0
|
|
res.dat[132:300,'nb.dif'] <- 2
|
|
res.dat[300:396,'nb.dif'] <- 3
|
|
View(res.dat)
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|
|
res.dat.simple <- res.dat[,c(1:8,13,16:18)]
|
|
res.dat.simple$m.beta <- round(res.dat.simple$m.beta,3)
|
|
res.dat.simple
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|
|
################ Boxplots of Rejected H0 in null scenarios
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|
|
|
## Proportion of rejected h0 per dif value in h0 scenarios (A) by DIF size
|
|
|
|
res.null <- res.dat[res.dat$eff.size==0,]
|
|
boxplot(h0.rejected.p~dif.size,data=res.null,col=c(1,2,3),xlab='DIF size',ylab='H0 rejection proportion in target scenario')
|
|
res.null0 <- res.dat[res.dat$eff.size==0 & res.dat$dif.size==0,]
|
|
points(y=res.null0$h0.rejected.p,x=rep(1,nrow(res.null0)),col='gray',pch=3)
|
|
res.null3 <- res.dat[res.dat$eff.size==0 & res.dat$dif.size==0.3,]
|
|
points(y=res.null3$h0.rejected.p,x=rep(2,nrow(res.null3)),col='#590b0c',pch=3)
|
|
res.null5 <- res.dat[res.dat$eff.size==0 & res.dat$dif.size==0.5,]
|
|
points(y=res.null5$h0.rejected.p,x=rep(3,nrow(res.null5)),col='#053305',pch=3)
|
|
|
|
## Proportion of rejected h0 per dif value in h0 scenarios (A) by DIF size (1 item)
|
|
|
|
par(mfrow=c(2,2))
|
|
|
|
# 0 item
|
|
res.null <- res.dat[res.dat$eff.size==0 & res.dat$nb.dif==0,]
|
|
boxplot(h0.rejected.p~dif.size,data=res.null,col=c(2),xlab='DIF size',
|
|
ylab='H0 rejection proportion in target scenario',main='No DIF',ylim=c(0,1))
|
|
points(y=res.null$h0.rejected.p,x=rep(1,nrow(res.null)),col='#590b0c',pch=3)
|
|
|
|
# 1 item
|
|
res.null <- res.dat[res.dat$eff.size==0 & res.dat$nb.dif==1,]
|
|
boxplot(h0.rejected.p~dif.size,data=res.null,col=c(2,3),xlab='DIF size',
|
|
ylab='H0 rejection proportion in target scenario',main='DIF on 1 item',ylim=c(0,1))
|
|
res.null3 <- res.null[res.null$dif.size==0.3,]
|
|
points(y=res.null3$h0.rejected.p,x=rep(1,nrow(res.null3)),col='#590b0c',pch=3)
|
|
res.null5 <- res.null[res.null$dif.size==0.5,]
|
|
points(y=res.null5$h0.rejected.p,x=rep(2,nrow(res.null5)),col='#053305',pch=3)
|
|
|
|
# 2 items
|
|
res.null <- res.dat[res.dat$eff.size==0 & res.dat$nb.dif==2,]
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boxplot(h0.rejected.p~dif.size,data=res.null,col=c(2,3),xlab='DIF size',
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ylab='H0 rejection proportion in target scenario',main='DIF on 2 items',ylim=c(0,1))
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res.null3 <- res.null[res.null$dif.size==0.3,]
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points(y=res.null3$h0.rejected.p,x=rep(1,nrow(res.null3)),col='#590b0c',pch=3)
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res.null5 <- res.null[res.null$dif.size==0.5,]
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points(y=res.null5$h0.rejected.p,x=rep(2,nrow(res.null5)),col='#053305',pch=3)
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# 3 items
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res.null <- res.dat[res.dat$eff.size==0 & res.dat$nb.dif==3,]
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boxplot(h0.rejected.p~dif.size,data=res.null,col=c(2,3),xlab='DIF size',
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ylab='H0 rejection proportion in target scenario',main='DIF on 3 items',ylim=c(0,1))
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res.null3 <- res.null[res.null$dif.size==0.3,]
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points(y=res.null3$h0.rejected.p,x=rep(1,nrow(res.null3)),col='#590b0c',pch=3)
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res.null5 <- res.null[res.null$dif.size==0.5,]
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points(y=res.null5$h0.rejected.p,x=rep(2,nrow(res.null5)),col='#053305',pch=3)
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|
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par(mfrow=c(1,1))
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## Proportion of rejected h0 per dif value in h0 scenarios (A) by DIF size (1 item) J=4
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par(mfrow=c(2,2))
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# 0 item
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res.null <- res.dat[res.dat$eff.size==0 & res.dat$nb.dif==0 & res.dat$J==4,]
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boxplot(h0.rejected.p~dif.size,data=res.null,col=c(2),xlab='DIF size',
|
|
ylab='H0 rejection proportion in target scenario',main='No DIF',ylim=c(0,1))
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points(y=res.null$h0.rejected.p,x=rep(1,nrow(res.null)),col='#590b0c',pch=3)
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|
|
|
# 1 item
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res.null <- res.dat[res.dat$eff.size==0 & res.dat$nb.dif==1 & res.dat$J==4,]
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boxplot(h0.rejected.p~dif.size,data=res.null,col=c(2,3),xlab='DIF size',
|
|
ylab='H0 rejection proportion in target scenario',main='DIF on 1 item',ylim=c(0,1))
|
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res.null3 <- res.null[res.null$dif.size==0.3,]
|
|
points(y=res.null3$h0.rejected.p,x=rep(1,nrow(res.null3)),col='#590b0c',pch=3)
|
|
res.null5 <- res.null[res.null$dif.size==0.5,]
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points(y=res.null5$h0.rejected.p,x=rep(2,nrow(res.null5)),col='#053305',pch=3)
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|
|
|
# 2 items
|
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res.null <- res.dat[res.dat$eff.size==0 & res.dat$nb.dif==2 & res.dat$J==4,]
|
|
boxplot(h0.rejected.p~dif.size,data=res.null,col=c(2,3),xlab='DIF size',
|
|
ylab='H0 rejection proportion in target scenario',main='DIF on 2 items',ylim=c(0,1))
|
|
res.null3 <- res.null[res.null$dif.size==0.3,]
|
|
points(y=res.null3$h0.rejected.p,x=rep(1,nrow(res.null3)),col='#590b0c',pch=3)
|
|
res.null5 <- res.null[res.null$dif.size==0.5,]
|
|
points(y=res.null5$h0.rejected.p,x=rep(2,nrow(res.null5)),col='#053305',pch=3)
|
|
|
|
par(mfrow=c(1,1))
|
|
|
|
|
|
## Proportion of rejected h0 per dif value in h0 scenarios (A) by DIF size (1 item) J=7
|
|
|
|
par(mfrow=c(2,2))
|
|
|
|
# 0 item
|
|
res.null <- res.dat[res.dat$eff.size==0 & res.dat$nb.dif==0 & res.dat$J==7,]
|
|
nrow(res.null)
|
|
boxplot(h0.rejected.p~dif.size,data=res.null,col=c(2),xlab='DIF size',
|
|
ylab='H0 rejection proportion in target scenario',main='No DIF',ylim=c(0,1))
|
|
points(y=res.null$h0.rejected.p,x=rep(1,nrow(res.null)),col='#590b0c',pch=3)
|
|
|
|
# 2 items
|
|
res.null <- res.dat[res.dat$eff.size==0 & res.dat$nb.dif==2 & res.dat$J==7,]
|
|
boxplot(h0.rejected.p~dif.size,data=res.null,col=c(2,3),xlab='DIF size',
|
|
ylab='H0 rejection proportion in target scenario',main='DIF on 2 items',ylim=c(0,1))
|
|
res.null3 <- res.null[res.null$dif.size==0.3,]
|
|
points(y=res.null3$h0.rejected.p,x=rep(1,nrow(res.null3)),col='#590b0c',pch=3)
|
|
res.null5 <- res.null[res.null$dif.size==0.5,]
|
|
points(y=res.null5$h0.rejected.p,x=rep(2,nrow(res.null5)),col='#053305',pch=3)
|
|
|
|
# 3 items
|
|
res.null <- res.dat[res.dat$eff.size==0 & res.dat$nb.dif==3 & res.dat$J==7,]
|
|
boxplot(h0.rejected.p~dif.size,data=res.null,col=c(2,3),xlab='DIF size',
|
|
ylab='H0 rejection proportion in target scenario',main='DIF on 3 items',ylim=c(0,1))
|
|
res.null3 <- res.null[res.null$dif.size==0.3,]
|
|
points(y=res.null3$h0.rejected.p,x=rep(1,nrow(res.null3)),col='#590b0c',pch=3)
|
|
res.null5 <- res.null[res.null$dif.size==0.5,]
|
|
points(y=res.null5$h0.rejected.p,x=rep(2,nrow(res.null5)),col='#053305',pch=3)
|
|
|
|
par(mfrow=c(1,1))
|