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simul_these/RProject/Scripts/pcm.R

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##############################################################################
#----------------------------------------------------------------------------#
################################## LIBRARIES #################################
#----------------------------------------------------------------------------#
##############################################################################
library(TAM)
library(doMC)
library(parallel)
library(pbmcapply)
library(funprog)
library(dplyr)
library(readxl)
lastChar <- function(str){
substr(str, nchar(str)-2, nchar(str))
}
##############################################################################
#----------------------------------------------------------------------------#
############################# ANALYSIS FUNCTIONS #############################
#----------------------------------------------------------------------------#
##############################################################################
pcm_analysis <- function(df=NULL,treatment='TT',irtmodel='PCM2',method='MML') {
nbitems <- sum(sapply(1:20,function(x) paste0('item',x)) %in% colnames(df))
resp <- df[,sapply(seq(1,nbitems),function(x) paste0('item',x))]
if (method=='MML') {
tam1 <- tam.mml(resp=resp,Y=df[,treatment],irtmodel = irtmodel,est.variance = T,verbose=F)
}
if (method=='JML') {
tam1 <- tam.jml(resp=resp,group=1+df[,treatment])
}
if (method!='MML' & method!='JML') {
stop('Invalid method. Please choose among MML or JML')
}
return(tam1)
}
replicate_pcm_analysis_m4 <- function(df=NULL,treatment='TT',irtmodel='PCM2',method='MML',sequence='replication',eff.size=0,difsize=NA,nbdif=0) {
nbitems <- sum(sapply(1:20,function(x) paste0('item',x)) %in% colnames(df))
resp <- df[,sapply(seq(1,nbitems),function(x) paste0('item',x))]
truebeta <- eff.size
if (method=='MML') {
n <- max(df[,sequence])
print(n)
tam1 <- lapply(seq(1,n),
function(x) pcm_analysis(df=df[df[,sequence]==x,],treatment=treatment,irtmodel=irtmodel)
)
}
listitems <- c(sapply(c('_1','_2','_3'),function(x) paste0(sapply(seq(1,nbitems),function(x) paste0('item',x)),x)))
returndat <- data.frame(matrix(nrow=max(df[,sequence]),ncol=length(listitems)))
colnames(returndat) <- listitems
for (s in seq(1,max(df[,sequence]))) {
for (k in seq(1,nbitems)) {
returndat[s,paste0('item',k,'_1')] <- tam1[[s]]$item[k,'AXsi_.Cat1']
returndat[s,paste0('item',k,'_2')] <- tam1[[s]]$item[k,'AXsi_.Cat2']-tam1[[s]]$item[k,'AXsi_.Cat1']
returndat[s,paste0('item',k,'_3')] <- tam1[[s]]$item[k,'AXsi_.Cat3']-tam1[[s]]$item[k,'AXsi_.Cat2']
}
}
returndat <- returndat[,sort_by(listitems, lastChar)]
returndat$beta <- sapply(seq(1,max(df[,sequence])),function(k) tam1[[k]]$beta[2])
returndat$se.beta <- 1.413612*sapply(seq(1,max(df[,sequence])),function(k) tam.se(tam1[[k]])$beta$se.Dim1[2] )
returndat$low.ci.beta <- returndat$beta-1.96*returndat$se.beta
returndat$high.ci.beta <- returndat$beta+1.96*returndat$se.beta
returndat$true.value.in.ci <- 1*(truebeta>returndat$low.ci.beta & truebeta<returndat$high.ci.beta)
returndat$h0.rejected <- 1*(0<returndat$low.ci.beta | 0>returndat$high.ci.beta)
if (truebeta==0) {
returndat$beta.same.sign.truebeta <- NA
} else {
returndat$beta.same.sign.truebeta <- 1*(sign(truebeta)==sign(returndat$beta))
}
returndat2 <- data.frame(J=rep(nbitems,max(df[,sequence])),
M=1+max(df$item1),
N=nrow(df[df$replication==1,])/2,
eff.size=truebeta,
dif.size= difsize,
nb.dif= nbdif
)
returndat <- cbind(returndat2,returndat)
return(returndat)
}
replicate_pcm_analysis_m2 <- function(df=NULL,treatment='TT',irtmodel='PCM2',method='MML',sequence='replication',eff.size=0,difsize=NA,nbdif=0) {
truebeta <- eff.size
nbitems <- sum(sapply(1:20,function(x) paste0('item',x)) %in% colnames(df))
resp <- df[,sapply(seq(1,nbitems),function(x) paste0('item',x))]
if (method=='MML') {
n <- max(df[,sequence])
print(n)
tam1 <- lapply(seq(1,n),
function(x) pcm_analysis(df=df[df[,sequence]==x,],treatment=treatment,irtmodel=irtmodel)
)
}
listitems <- sapply(seq(1,nbitems),function(x) paste0('item',x))
returndat <- data.frame(matrix(nrow=max(df[,sequence]),ncol=length(listitems)))
colnames(returndat) <- listitems
for (s in seq(1,max(df[,sequence]))) {
for (k in seq(1,nbitems)) {
returndat[s,paste0('item',k)] <- tam1[[s]]$xsi$xsi[k]
}
}
returndat$beta <- sapply(seq(1,max(df[,sequence])),function(k) tam1[[k]]$beta[2])
returndat$se.beta <- 1.413612*sapply(seq(1,max(df[,sequence])),function(k) tam.se(tam1[[k]])$beta$se.Dim1[2] )
returndat$low.ci.beta <- returndat$beta-1.96*returndat$se.beta
returndat$high.ci.beta <- returndat$beta+1.96*returndat$se.beta
returndat$true.value.in.ci <- 1*(truebeta>returndat$low.ci.beta & truebeta<returndat$high.ci.beta)
returndat$h0.rejected <- 1*(0<returndat$low.ci.beta | 0>returndat$high.ci.beta)
if (truebeta==0) {
returndat$beta.same.sign.truebeta <- NA
} else {
returndat$beta.same.sign.truebeta <- 1*(sign(truebeta)==sign(returndat$beta))
}
returndat2 <- data.frame(J=rep(nbitems,max(df[,sequence])),
M=1+max(df$item1),
N=nrow(df[df$replication==1,])/2,
eff.size=truebeta,
dif.size= difsize,
nb.dif= nbdif
)
returndat <- cbind(returndat2,returndat)
return(returndat)
}
replicate_pcm_analysis<- function(df=NULL,treatment='TT',irtmodel='PCM2',method='MML',sequence='replication',eff.size=0,difsize=NA,nbdif=0) {
j <- max(df$item1)
if(j==1) {
return(replicate_pcm_analysis_m2(df=df,treatment=treatment,irtmodel=irtmodel,method=method,sequence=sequence,eff.size=eff.size,difsize=difsize,nbdif=nbdif))
} else {
return(replicate_pcm_analysis_m4(df=df,treatment=treatment,irtmodel=irtmodel,method=method,sequence=sequence,eff.size=eff.size,difsize=difsize,nbdif=nbdif))
}
}
##############################################################################
#----------------------------------------------------------------------------#
########################## SCENARIO ANALYSIS NO DIF ##########################
#----------------------------------------------------------------------------#
##############################################################################
registerDoMC(4)
###################################### Scenario 1: J=4 / M=2
#### A: H0 TRUE
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N100/scenario_1A_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N200/scenario_1A_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N300/scenario_1A_300.csv')
res <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x)))
write.csv(res[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N100/scenario_1A_100.csv')
write.csv(res[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N200/scenario_1A_200.csv')
write.csv(res[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N300/scenario_1A_300.csv')
#### B: H1 TRUE / ES 0.2
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N100/scenario_1B_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N200/scenario_1B_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N300/scenario_1B_300.csv')
res <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),eff.size = 0.2))
write.csv(res[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N100/scenario_1B_100.csv')
write.csv(res[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N200/scenario_1B_200.csv')
write.csv(res[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N300/scenario_1B_300.csv')
#### C: H1 TRUE / ES 0.4
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N100/scenario_1C_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N200/scenario_1C_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N300/scenario_1C_300.csv')
res <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),eff.size = 0.4))
write.csv(res[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N100/scenario_1C_100.csv')
write.csv(res[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N200/scenario_1C_200.csv')
write.csv(res[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N300/scenario_1C_300.csv')
#### D: H1 TRUE / ES -0.2
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N100/scenario_1D_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N200/scenario_1D_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N300/scenario_1D_300.csv')
res <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),eff.size = -0.2))
write.csv(res[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N100/scenario_1D_100.csv')
write.csv(res[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N200/scenario_1D_200.csv')
write.csv(res[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N300/scenario_1D_300.csv')
#### E: H1 TRUE / ES -0.4
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N100/scenario_1E_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N200/scenario_1E_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N300/scenario_1E_300.csv')
res <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),eff.size = -0.4))
write.csv(res[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N100/scenario_1E_100.csv')
write.csv(res[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N200/scenario_1E_200.csv')
write.csv(res[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N300/scenario_1E_300.csv')
###################################### Scenario 2: J=4 / M=4
#### A: H0 TRUE
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N100/scenario_2A_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N200/scenario_2A_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N300/scenario_2A_300.csv')
res <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x)))
write.csv(res[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N100/scenario_2A_100.csv')
write.csv(res[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N200/scenario_2A_200.csv')
write.csv(res[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N300/scenario_2A_300.csv')
#### B: H1 TRUE / ES 0.2
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N100/scenario_2B_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N200/scenario_2B_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N300/scenario_2B_300.csv')
res <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),eff.size = 0.2))
write.csv(res[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N100/scenario_2B_100.csv')
write.csv(res[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N200/scenario_2B_200.csv')
write.csv(res[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N300/scenario_2B_300.csv')
#### C: H1 TRUE / ES 0.4
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N100/scenario_2C_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N200/scenario_2C_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N300/scenario_2C_300.csv')
res <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),eff.size = 0.4))
write.csv(res[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N100/scenario_2C_100.csv')
write.csv(res[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N200/scenario_2C_200.csv')
write.csv(res[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N300/scenario_2C_300.csv')
#### D: H1 TRUE / ES -0.2
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N100/scenario_2D_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N200/scenario_2D_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N300/scenario_2D_300.csv')
res <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),eff.size = -0.2))
write.csv(res[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N100/scenario_2D_100.csv')
write.csv(res[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N200/scenario_2D_200.csv')
write.csv(res[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N300/scenario_2D_300.csv')
#### E: H1 TRUE / ES -0.4
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N100/scenario_2E_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N200/scenario_2E_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N300/scenario_2E_300.csv')
res <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),eff.size = -0.4))
write.csv(res[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N100/scenario_2E_100.csv')
write.csv(res[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N200/scenario_2E_200.csv')
write.csv(res[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N300/scenario_2E_300.csv')
###################################### Scenario 3: J=7 / M=2
#### A: H0 TRUE
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N100/scenario_3A_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N200/scenario_3A_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N300/scenario_3A_300.csv')
res <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x)))
write.csv(res[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N100/scenario_3A_100.csv')
write.csv(res[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N200/scenario_3A_200.csv')
write.csv(res[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N300/scenario_3A_300.csv')
#### B: H1 TRUE / ES 0.2
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N100/scenario_3B_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N200/scenario_3B_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N300/scenario_3B_300.csv')
res <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),eff.size = 0.2))
write.csv(res[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N100/scenario_3B_100.csv')
write.csv(res[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N200/scenario_3B_200.csv')
write.csv(res[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N300/scenario_3B_300.csv')
#### C: H1 TRUE / ES 0.4
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N100/scenario_3C_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N200/scenario_3C_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N300/scenario_3C_300.csv')
res <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),eff.size = 0.4))
write.csv(res[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N100/scenario_3C_100.csv')
write.csv(res[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N200/scenario_3C_200.csv')
write.csv(res[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N300/scenario_3C_300.csv')
#### D: H1 TRUE / ES -0.2
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N100/scenario_3D_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N200/scenario_3D_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N300/scenario_3D_300.csv')
res <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),eff.size = -0.2))
write.csv(res[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N100/scenario_3D_100.csv')
write.csv(res[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N200/scenario_3D_200.csv')
write.csv(res[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N300/scenario_3D_300.csv')
#### E: H1 TRUE / ES -0.4
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N100/scenario_3E_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N200/scenario_3E_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N300/scenario_3E_300.csv')
res <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),eff.size = -0.4))
write.csv(res[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N100/scenario_3E_100.csv')
write.csv(res[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N200/scenario_3E_200.csv')
write.csv(res[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N300/scenario_3E_300.csv')
###################################### Scenario 4: J=7 / M=4
#### A: H0 TRUE
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N100/scenario_4A_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N200/scenario_4A_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N300/scenario_4A_300.csv')
res <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x)))
write.csv(res[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N100/scenario_4A_100.csv')
write.csv(res[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N200/scenario_4A_200.csv')
write.csv(res[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N300/scenario_4A_300.csv')
#### B: H1 TRUE / ES 0.2
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N100/scenario_4B_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N200/scenario_4B_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N300/scenario_4B_300.csv')
res <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),eff.size = 0.2))
write.csv(res[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N100/scenario_4B_100.csv')
write.csv(res[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N200/scenario_4B_200.csv')
write.csv(res[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N300/scenario_4B_300.csv')
#### C: H1 TRUE / ES 0.4
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N100/scenario_4C_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N200/scenario_4C_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N300/scenario_4C_300.csv')
res <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),eff.size = 0.4))
write.csv(res[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N100/scenario_4C_100.csv')
write.csv(res[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N200/scenario_4C_200.csv')
write.csv(res[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N300/scenario_4C_300.csv')
#### D: H1 TRUE / ES -0.2
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N100/scenario_4D_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N200/scenario_4D_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N300/scenario_4D_300.csv')
res <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),eff.size = -0.2))
write.csv(res[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N100/scenario_4D_100.csv')
write.csv(res[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N200/scenario_4D_200.csv')
write.csv(res[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N300/scenario_4D_300.csv')
#### E: H1 TRUE / ES -0.4
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N100/scenario_4E_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N200/scenario_4E_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N300/scenario_4E_300.csv')
res <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),eff.size = -0.4))
write.csv(res[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N100/scenario_4E_100.csv')
write.csv(res[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N200/scenario_4E_200.csv')
write.csv(res[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N300/scenario_4E_300.csv')
##############################################################################
#----------------------------------------------------------------------------#
######################### SCENARIO ANALYSIS WITH DIF #########################
#----------------------------------------------------------------------------#
##############################################################################
registerDoMC(4)
###################################### Scenario 5: J=4 / M=2 / NDIF=1 / DIF=0.3
#### A: H0 TRUE
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_5A_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_5A_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_5A_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_5A_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_5A_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_5A_300_nodif.csv')
#### B: H1 TRUE / ES = 0.2 / DS = 0.3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_5B_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_5B_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_5B_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3,eff.size = 0.2))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3,eff.size = 0.2))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_5B_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_5B_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_5B_300_nodif.csv')
#### C: H1 TRUE / ES = 0.2 / DS = -0.3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_5C_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_5C_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_5C_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = 0.2))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = 0.2))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_5C_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_5C_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_5C_300_nodif.csv')
#### D: H1 TRUE / ES = 0.4 / DS = 0.3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_5D_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_5D_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_5D_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3,eff.size = 0.4))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3,eff.size = 0.4))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_5D_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_5D_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_5D_300_nodif.csv')
#### E: H1 TRUE / ES = 0.4 / DS = -0.3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_5E_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_5E_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_5E_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = 0.4))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = 0.4))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_5E_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_5E_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_5E_300_nodif.csv')
#### F: H1 TRUE / ES = 0.2 / DS = 0.3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_5F_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_5F_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_5F_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = -0.2))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = -0.2))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_5F_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_5F_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_5F_300_nodif.csv')
#### G: H1 TRUE / ES = 0.2 / DS = -0.3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_5G_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_5G_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_5G_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = -0.4))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = -0.4))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_5G_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_5G_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_5G_300_nodif.csv')
###################################### Scenario 6: J=4 / M=4 / NDIF=1 / DIF=0.3
#### A: H0 TRUE
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_6A_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_6A_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_6A_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_6A_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_6A_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_6A_300_nodif.csv')
#### B: H1 TRUE / ES = 0.2 / DS = 0.3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_6B_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_6B_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_6B_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3,eff.size = 0.2))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3,eff.size = 0.2))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_6B_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_6B_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_6B_300_nodif.csv')
#### C: H1 TRUE / ES = 0.2 / DS = -0.3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_6C_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_6C_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_6C_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = 0.2))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = 0.2))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_6C_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_6C_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_6C_300_nodif.csv')
#### D: H1 TRUE / ES = 0.4 / DS = 0.3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_6D_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_6D_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_6D_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3,eff.size = 0.4))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3,eff.size = 0.4))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_6D_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_6D_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_6D_300_nodif.csv')
#### E: H1 TRUE / ES = 0.4 / DS = -0.3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_6E_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_6E_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_6E_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = 0.4))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = 0.4))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_6E_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_6E_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_6E_300_nodif.csv')
#### F: H1 TRUE / ES = 0.2 / DS = 0.3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_6F_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_6F_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_6F_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = -0.2))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = -0.2))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_6F_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_6F_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_6F_300_nodif.csv')
#### G: H1 TRUE / ES = 0.2 / DS = -0.3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_6G_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_6G_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_6G_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = -0.4))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = -0.4))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_6G_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_6G_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_6G_300_nodif.csv')
###################################### Scenario 7: J=4 / M=2 / NDIF=1 / DIF=0.5
#### A: H0 TRUE
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_7A_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_7A_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_7A_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_7A_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_7A_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_7A_300_nodif.csv')
#### B: H1 TRUE / ES = 0.2 / DS = 0.3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_7B_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_7B_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_7B_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5,eff.size = 0.2))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5,eff.size = 0.2))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_7B_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_7B_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_7B_300_nodif.csv')
#### C: H1 TRUE / ES = 0.2 / DS = -0.3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_7C_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_7C_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_7C_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = 0.2))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = 0.2))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_7C_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_7C_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_7C_300_nodif.csv')
#### D: H1 TRUE / ES = 0.4 / DS = 0.3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_7D_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_7D_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_7D_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5,eff.size = 0.4))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5,eff.size = 0.4))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_7D_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_7D_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_7D_300_nodif.csv')
#### E: H1 TRUE / ES = 0.4 / DS = -0.3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_7E_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_7E_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_7E_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = 0.4))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = 0.4))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_7E_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_7E_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_7E_300_nodif.csv')
#### F: H1 TRUE / ES = 0.2 / DS = 0.3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_7F_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_7F_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_7F_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = -0.2))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = -0.2))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_7F_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_7F_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_7F_300_nodif.csv')
#### G: H1 TRUE / ES = 0.2 / DS = -0.3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_7G_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_7G_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_7G_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = -0.4))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = -0.4))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_7G_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_7G_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_7G_300_nodif.csv')
###################################### Scenario 8: J=4 / M=4 / NDIF=1 / DIF=0.5
#### A: H0 TRUE
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_8A_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_8A_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_8A_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_8A_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_8A_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_8A_300_nodif.csv')
#### B: H1 TRUE / ES = 0.2 / DS = 0.3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_8B_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_8B_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_8B_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5,eff.size = 0.2))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5,eff.size = 0.2))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_8B_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_8B_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_8B_300_nodif.csv')
#### C: H1 TRUE / ES = 0.2 / DS = -0.3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_8C_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_8C_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_8C_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = 0.2))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = 0.2))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_8C_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_8C_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_8C_300_nodif.csv')
#### D: H1 TRUE / ES = 0.4 / DS = 0.3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_8D_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_8D_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_8D_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5,eff.size = 0.4))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5,eff.size = 0.4))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_8D_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_8D_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_8D_300_nodif.csv')
#### E: H1 TRUE / ES = 0.4 / DS = -0.3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_8E_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_8E_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_8E_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = 0.4))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = 0.4))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_8E_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_8E_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_8E_300_nodif.csv')
#### F: H1 TRUE / ES = 0.2 / DS = 0.3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_8F_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_8F_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_8F_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = -0.2))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = -0.2))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_8F_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_8F_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_8F_300_nodif.csv')
#### G: H1 TRUE / ES = 0.2 / DS = -0.3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_8G_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_8G_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_8G_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = -0.4))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = -0.4))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_8G_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_8G_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_8G_300_nodif.csv')
###################################### Scenario 9: J=4 / M=2 / NDIF=2 / DIF=0.3
#### A: H0 TRUE
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_9A_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_9A_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_9A_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_9A_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_9A_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_9A_300_nodif.csv')
#### B: H1 TRUE / ES = 0.2 / DS = 0.3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_9B_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_9B_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_9B_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3,eff.size = 0.2))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3,eff.size = 0.2))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_9B_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_9B_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_9B_300_nodif.csv')
#### C: H1 TRUE / ES = 0.2 / DS = -0.3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_9C_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_9C_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_9C_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = 0.2))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = 0.2))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_9C_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_9C_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_9C_300_nodif.csv')
#### D: H1 TRUE / ES = 0.4 / DS = 0.3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_9D_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_9D_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_9D_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3,eff.size = 0.4))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3,eff.size = 0.4))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_9D_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_9D_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_9D_300_nodif.csv')
#### E: H1 TRUE / ES = 0.4 / DS = -0.3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_9E_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_9E_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_9E_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = 0.4))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = 0.4))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_9E_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_9E_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_9E_300_nodif.csv')
#### F: H1 TRUE / ES = 0.2 / DS = 0.3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_9F_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_9F_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_9F_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = -0.2))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = -0.2))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_9F_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_9F_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_9F_300_nodif.csv')
#### G: H1 TRUE / ES = 0.2 / DS = -0.3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_9G_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_9G_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_9G_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = -0.4))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = -0.4))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_9G_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_9G_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_9G_300_nodif.csv')
###################################### Scenario 10: J=4 / M=4 / NDIF=2 / DIF=0.3
#### A: H0 TRUE
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_10A_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_10A_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_10A_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_10A_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_10A_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_10A_300_nodif.csv')
#### B: H1 TRUE / ES = 0.2 / DS = 0.3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_10B_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_10B_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_10B_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3,eff.size = 0.2))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3,eff.size = 0.2))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_10B_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_10B_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_10B_300_nodif.csv')
#### C: H1 TRUE / ES = 0.2 / DS = -0.3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_10C_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_10C_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_10C_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = 0.2))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = 0.2))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_10C_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_10C_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_10C_300_nodif.csv')
#### D: H1 TRUE / ES = 0.4 / DS = 0.3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_10D_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_10D_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_10D_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3,eff.size = 0.4))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3,eff.size = 0.4))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_10D_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_10D_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_10D_300_nodif.csv')
#### E: H1 TRUE / ES = 0.4 / DS = -0.3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_10E_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_10E_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_10E_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = 0.4))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = 0.4))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_10E_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_10E_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_10E_300_nodif.csv')
#### F: H1 TRUE / ES = 0.2 / DS = 0.3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_10F_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_10F_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_10F_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = -0.2))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = -0.2))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_10F_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_10F_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_10F_300_nodif.csv')
#### G: H1 TRUE / ES = 0.2 / DS = -0.3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_10G_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_10G_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_10G_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = -0.4))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = -0.4))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_10G_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_10G_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_10G_300_nodif.csv')
###################################### Scenario 11: J=4 / M=2 / NDIF=2 / DIF=0.5
#### A: H0 TRUE
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_11A_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_11A_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_11A_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_11A_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_11A_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_11A_300_nodif.csv')
#### B: H1 TRUE / ES = 0.2 / DS = 0.3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_11B_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_11B_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_11B_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5,eff.size = 0.2))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5,eff.size = 0.2))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_11B_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_11B_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_11B_300_nodif.csv')
#### C: H1 TRUE / ES = 0.2 / DS = -0.3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_11C_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_11C_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_11C_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = 0.2))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = 0.2))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_11C_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_11C_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_11C_300_nodif.csv')
#### D: H1 TRUE / ES = 0.4 / DS = 0.3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_11D_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_11D_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_11D_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5,eff.size = 0.4))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5,eff.size = 0.4))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_11D_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_11D_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_11D_300_nodif.csv')
#### E: H1 TRUE / ES = 0.4 / DS = -0.3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_11E_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_11E_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_11E_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = 0.4))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = 0.4))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_11E_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_11E_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_11E_300_nodif.csv')
#### F: H1 TRUE / ES = 0.2 / DS = 0.3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_11F_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_11F_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_11F_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = -0.2))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = -0.2))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_11F_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_11F_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_11F_300_nodif.csv')
#### G: H1 TRUE / ES = 0.2 / DS = -0.3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_11G_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_11G_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_11G_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = -0.4))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = -0.4))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_11G_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_11G_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_11G_300_nodif.csv')
###################################### Scenario 12: J=4 / M=4 / NDIF=2 / DIF=0.5
#### A: H0 TRUE
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_12A_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_12A_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_12A_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_12A_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_12A_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_12A_300_nodif.csv')
#### B: H1 TRUE / ES = 0.2 / DS = 0.3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_12B_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_12B_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_12B_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5,eff.size = 0.2))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5,eff.size = 0.2))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_12B_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_12B_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_12B_300_nodif.csv')
#### C: H1 TRUE / ES = 0.2 / DS = -0.3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_12C_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_12C_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_12C_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = 0.2))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = 0.2))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_12C_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_12C_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_12C_300_nodif.csv')
#### D: H1 TRUE / ES = 0.4 / DS = 0.3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_12D_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_12D_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_12D_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5,eff.size = 0.4))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5,eff.size = 0.4))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_12D_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_12D_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_12D_300_nodif.csv')
#### E: H1 TRUE / ES = 0.4 / DS = -0.3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_12E_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_12E_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_12E_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = 0.4))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = 0.4))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_12E_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_12E_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_12E_300_nodif.csv')
#### F: H1 TRUE / ES = 0.2 / DS = 0.3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_12F_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_12F_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_12F_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = -0.2))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = -0.2))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_12F_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_12F_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_12F_300_nodif.csv')
#### G: H1 TRUE / ES = 0.2 / DS = -0.3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_12G_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_12G_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_12G_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = -0.4))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = -0.4))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_12G_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_12G_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_12G_300_nodif.csv')
###################################### Scenario 13: J=7 / M=2 / NDIF=2 / DIF=0.3
#### A: H0 TRUE
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_13A_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_13A_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_13A_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_13A_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_13A_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_13A_300_nodif.csv')
#### B: H1 TRUE / ES = 0.2 / DS = 0.3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_13B_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_13B_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_13B_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3,eff.size = 0.2))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3,eff.size = 0.2))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_13B_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_13B_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_13B_300_nodif.csv')
#### C: H1 TRUE / ES = 0.2 / DS = -0.3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_13C_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_13C_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_13C_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = 0.2))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = 0.2))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_13C_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_13C_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_13C_300_nodif.csv')
#### D: H1 TRUE / ES = 0.4 / DS = 0.3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_13D_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_13D_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_13D_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3,eff.size = 0.4))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3,eff.size = 0.4))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_13D_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_13D_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_13D_300_nodif.csv')
#### E: H1 TRUE / ES = 0.4 / DS = -0.3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_13E_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_13E_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_13E_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = 0.4))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = 0.4))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_13E_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_13E_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_13E_300_nodif.csv')
#### F: H1 TRUE / ES = 0.2 / DS = 0.3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_13F_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_13F_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_13F_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = -0.2))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = -0.2))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_13F_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_13F_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_13F_300_nodif.csv')
#### G: H1 TRUE / ES = 0.2 / DS = -0.3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_13G_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_13G_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_13G_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = -0.4))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = -0.4))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_13G_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_13G_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_13G_300_nodif.csv')
###################################### Scenario 14: J=7 / M=4 / NDIF=2 / DIF=0.3
#### A: H0 TRUE
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_14A_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_14A_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_14A_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_14A_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_14A_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_14A_300_nodif.csv')
#### B: H1 TRUE / ES = 0.2 / DS = 0.3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_14B_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_14B_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_14B_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3,eff.size = 0.2))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3,eff.size = 0.2))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_14B_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_14B_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_14B_300_nodif.csv')
#### C: H1 TRUE / ES = 0.2 / DS = -0.3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_14C_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_14C_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_14C_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = 0.2))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = 0.2))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_14C_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_14C_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_14C_300_nodif.csv')
#### D: H1 TRUE / ES = 0.4 / DS = 0.3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_14D_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_14D_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_14D_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3,eff.size = 0.4))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3,eff.size = 0.4))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_14D_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_14D_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_14D_300_nodif.csv')
#### E: H1 TRUE / ES = 0.4 / DS = -0.3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_14E_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_14E_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_14E_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = 0.4))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = 0.4))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_14E_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_14E_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_14E_300_nodif.csv')
#### F: H1 TRUE / ES = 0.2 / DS = 0.3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_14F_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_14F_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_14F_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = -0.2))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = -0.2))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_14F_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_14F_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_14F_300_nodif.csv')
#### G: H1 TRUE / ES = 0.2 / DS = -0.3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_14G_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_14G_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_14G_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = -0.4))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = -0.4))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_14G_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_14G_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_14G_300_nodif.csv')
###################################### Scenario 15: J=7 / M=2 / NDIF=2 / DIF=0.5
#### A: H0 TRUE
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_15A_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_15A_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_15A_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_15A_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_15A_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_15A_300_nodif.csv')
#### B: H1 TRUE / ES = 0.2 / DS = 0.3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_15B_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_15B_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_15B_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5,eff.size = 0.2))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5,eff.size = 0.2))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_15B_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_15B_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_15B_300_nodif.csv')
#### C: H1 TRUE / ES = 0.2 / DS = -0.3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_15C_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_15C_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_15C_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = 0.2))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = 0.2))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_15C_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_15C_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_15C_300_nodif.csv')
#### D: H1 TRUE / ES = 0.4 / DS = 0.3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_15D_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_15D_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_15D_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5,eff.size = 0.4))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5,eff.size = 0.4))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_15D_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_15D_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_15D_300_nodif.csv')
#### E: H1 TRUE / ES = 0.4 / DS = -0.3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_15E_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_15E_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_15E_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = 0.4))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = 0.4))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_15E_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_15E_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_15E_300_nodif.csv')
#### F: H1 TRUE / ES = 0.2 / DS = 0.3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_15F_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_15F_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_15F_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = -0.2))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = -0.2))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_15F_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_15F_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_15F_300_nodif.csv')
#### G: H1 TRUE / ES = 0.2 / DS = -0.3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_15G_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_15G_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_15G_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = -0.4))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = -0.4))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_15G_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_15G_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_15G_300_nodif.csv')
###################################### Scenario 16: J=7 / M=4 / NDIF=2 / DIF=0.5
#### A: H0 TRUE
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_16A_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_16A_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_16A_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_16A_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_16A_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_16A_300_nodif.csv')
#### B: H1 TRUE / ES = 0.2 / DS = 0.3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_16B_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_16B_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_16B_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5,eff.size = 0.2))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5,eff.size = 0.2))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_16B_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_16B_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_16B_300_nodif.csv')
#### C: H1 TRUE / ES = 0.2 / DS = -0.3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_16C_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_16C_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_16C_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = 0.2))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = 0.2))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_16C_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_16C_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_16C_300_nodif.csv')
#### D: H1 TRUE / ES = 0.4 / DS = 0.3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_16D_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_16D_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_16D_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5,eff.size = 0.4))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5,eff.size = 0.4))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_16D_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_16D_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_16D_300_nodif.csv')
#### E: H1 TRUE / ES = 0.4 / DS = -0.3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_16E_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_16E_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_16E_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = 0.4))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = 0.4))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_16E_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_16E_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_16E_300_nodif.csv')
#### F: H1 TRUE / ES = 0.2 / DS = 0.3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_16F_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_16F_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_16F_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = -0.2))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = -0.2))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_16F_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_16F_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_16F_300_nodif.csv')
#### G: H1 TRUE / ES = 0.2 / DS = -0.3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_16G_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_16G_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_16G_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = -0.4))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = -0.4))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_16G_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_16G_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_16G_300_nodif.csv')
###################################### Scenario 17: J=7 / M=2 / NDIF=3 / DIF=0.3
#### A: H0 TRUE
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_17A_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_17A_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_17A_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_17A_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_17A_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_17A_300_nodif.csv')
#### B: H1 TRUE / ES = 0.2 / DS = 0.3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_17B_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_17B_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_17B_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3,eff.size = 0.2))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3,eff.size = 0.2))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_17B_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_17B_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_17B_300_nodif.csv')
#### C: H1 TRUE / ES = 0.2 / DS = -0.3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_17C_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_17C_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_17C_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = 0.2))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = 0.2))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_17C_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_17C_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_17C_300_nodif.csv')
#### D: H1 TRUE / ES = 0.4 / DS = 0.3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_17D_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_17D_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_17D_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3,eff.size = 0.4))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3,eff.size = 0.4))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_17D_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_17D_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_17D_300_nodif.csv')
#### E: H1 TRUE / ES = 0.4 / DS = -0.3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_17E_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_17E_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_17E_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = 0.4))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = 0.4))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_17E_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_17E_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_17E_300_nodif.csv')
#### F: H1 TRUE / ES = 0.2 / DS = 0.3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_17F_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_17F_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_17F_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = -0.2))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = -0.2))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_17F_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_17F_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_17F_300_nodif.csv')
#### G: H1 TRUE / ES = 0.2 / DS = -0.3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_17G_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_17G_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_17G_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = -0.4))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = -0.4))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_17G_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_17G_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_17G_300_nodif.csv')
###################################### Scenario 18: J=7 / M=4 / NDIF=3 / DIF=0.3
#### A: H0 TRUE
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_18A_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_18A_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_18A_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_18A_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_18A_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_18A_300_nodif.csv')
#### B: H1 TRUE / ES = 0.2 / DS = 0.3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_18B_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_18B_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_18B_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3,eff.size = 0.2))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3,eff.size = 0.2))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_18B_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_18B_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_18B_300_nodif.csv')
#### C: H1 TRUE / ES = 0.2 / DS = -0.3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_18C_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_18C_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_18C_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = 0.2))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = 0.2))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_18C_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_18C_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_18C_300_nodif.csv')
#### D: H1 TRUE / ES = 0.4 / DS = 0.3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_18D_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_18D_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_18D_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3,eff.size = 0.4))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3,eff.size = 0.4))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_18D_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_18D_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_18D_300_nodif.csv')
#### E: H1 TRUE / ES = 0.4 / DS = -0.3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_18E_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_18E_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_18E_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = 0.4))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = 0.4))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_18E_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_18E_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_18E_300_nodif.csv')
#### F: H1 TRUE / ES = 0.2 / DS = 0.3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_18F_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_18F_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_18F_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = -0.2))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = -0.2))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_18F_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_18F_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_18F_300_nodif.csv')
#### G: H1 TRUE / ES = 0.2 / DS = -0.3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_18G_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_18G_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_18G_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = -0.4))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.3,eff.size = -0.4))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_18G_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_18G_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_18G_300_nodif.csv')
###################################### Scenario 19: J=7 / M=2 / NDIF=3 / DIF=0.5
#### A: H0 TRUE
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_19A_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_19A_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_19A_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_19A_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_19A_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_19A_300_nodif.csv')
#### B: H1 TRUE / ES = 0.2 / DS = 0.3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_19B_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_19B_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_19B_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5,eff.size = 0.2))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5,eff.size = 0.2))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_19B_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_19B_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_19B_300_nodif.csv')
#### C: H1 TRUE / ES = 0.2 / DS = -0.3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_19C_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_19C_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_19C_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = 0.2))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = 0.2))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_19C_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_19C_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_19C_300_nodif.csv')
#### D: H1 TRUE / ES = 0.4 / DS = 0.3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_19D_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_19D_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_19D_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5,eff.size = 0.4))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5,eff.size = 0.4))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_19D_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_19D_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_19D_300_nodif.csv')
#### E: H1 TRUE / ES = 0.4 / DS = -0.3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_19E_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_19E_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_19E_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = 0.4))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = 0.4))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_19E_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_19E_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_19E_300_nodif.csv')
#### F: H1 TRUE / ES = 0.2 / DS = 0.3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_19F_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_19F_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_19F_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = -0.2))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = -0.2))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_19F_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_19F_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_19F_300_nodif.csv')
#### G: H1 TRUE / ES = 0.2 / DS = -0.3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_19G_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_19G_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_19G_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = -0.4))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = -0.4))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_19G_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_19G_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_19G_300_nodif.csv')
###################################### Scenario 20: J=7 / M=4 / NDIF=3 / DIF=0.5
#### A: H0 TRUE
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_20A_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_20A_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_20A_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N100/scenario_20A_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_20A_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_20A_300_nodif.csv')
#### B: H1 TRUE / ES = 0.2 / DS = 0.3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_20B_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_20B_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_20B_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5,eff.size = 0.2))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5,eff.size = 0.2))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_20B_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_20B_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_20B_300_nodif.csv')
#### C: H1 TRUE / ES = 0.2 / DS = -0.3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_20C_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_20C_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_20C_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = 0.2))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = 0.2))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_20C_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_20C_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_20C_300_nodif.csv')
#### D: H1 TRUE / ES = 0.4 / DS = 0.3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_20D_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_20D_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_20D_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5,eff.size = 0.4))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5,eff.size = 0.4))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_20D_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_20D_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_20D_300_nodif.csv')
#### E: H1 TRUE / ES = 0.4 / DS = -0.3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_20E_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_20E_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_20E_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = 0.4))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = 0.4))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_20E_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_20E_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_20E_300_nodif.csv')
#### F: H1 TRUE / ES = 0.2 / DS = 0.3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_20F_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_20F_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_20F_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = -0.2))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = -0.2))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_20F_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_20F_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_20F_300_nodif.csv')
#### G: H1 TRUE / ES = 0.2 / DS = -0.3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_20G_100.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N200/scenario_20G_200.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N300/scenario_20G_300.csv')
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = -0.4))
res_nodif <- pbmclapply(c('dat1','dat2','dat3'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = -0.5,eff.size = -0.4))
write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/scenario_20G_100_nodif.csv')
write.csv(res_nodif[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/scenario_20G_200_nodif.csv')
write.csv(res_nodif[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/scenario_20G_300_nodif.csv')
##############################################################################
#----------------------------------------------------------------------------#
########################## SCENARIO ANALYSIS N=50 ##########################
#----------------------------------------------------------------------------#
##############################################################################
registerDoMC(5)
###################################### Scenario 1
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_1A_50.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_1B_50.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_1C_50.csv')
dat4 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_1D_50.csv')
dat5 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_1E_50.csv')
res <- pbmclapply(c('dat1','dat2','dat3','dat4','dat5'),function(x) replicate_pcm_analysis(get(x)))
write.csv(res[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_1A_50.csv')
write.csv(res[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_1B_50.csv')
write.csv(res[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_1C_50.csv')
write.csv(res[[4]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_1D_50.csv')
write.csv(res[[5]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_1E_50.csv')
###################################### Scenario 2
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_2A_50.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_2B_50.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_2C_50.csv')
dat4 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_2D_50.csv')
dat5 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_2E_50.csv')
res <- pbmclapply(c('dat1','dat2','dat3','dat4','dat5'),function(x) replicate_pcm_analysis(get(x)))
write.csv(res[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_2A_50.csv')
write.csv(res[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_2B_50.csv')
write.csv(res[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_2C_50.csv')
write.csv(res[[4]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_2D_50.csv')
write.csv(res[[5]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_2E_50.csv')
###################################### Scenario 3
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_3A_50.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_3B_50.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_3C_50.csv')
dat4 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_3D_50.csv')
dat5 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_3E_50.csv')
res <- pbmclapply(c('dat1','dat2','dat3','dat4','dat5'),function(x) replicate_pcm_analysis(get(x)))
write.csv(res[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_3A_50.csv')
write.csv(res[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_3B_50.csv')
write.csv(res[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_3C_50.csv')
write.csv(res[[4]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_3D_50.csv')
write.csv(res[[5]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_3E_50.csv')
###################################### Scenario 4
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_4A_50.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_4B_50.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_4C_50.csv')
dat4 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_4D_50.csv')
dat5 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_4E_50.csv')
res <- pbmclapply(c('dat1','dat2','dat3','dat4','dat5'),function(x) replicate_pcm_analysis(get(x)))
write.csv(res[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_4A_50.csv')
write.csv(res[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_4B_50.csv')
write.csv(res[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_4C_50.csv')
write.csv(res[[4]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_4D_50.csv')
write.csv(res[[5]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_4E_50.csv')
###################################### Scenario 5
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_5A_50.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_5B_50.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_5C_50.csv')
dat4 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_5D_50.csv')
dat5 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_5E_50.csv')
dat6 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_5F_50.csv')
dat7 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_5G_50.csv')
res <- pbmclapply(c('dat1','dat2','dat3','dat4','dat5','dat6','dat7'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3))
write.csv(res[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_5A_50.csv')
write.csv(res[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_5B_50.csv')
write.csv(res[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_5C_50.csv')
write.csv(res[[4]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_5D_50.csv')
write.csv(res[[5]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_5E_50.csv')
write.csv(res[[6]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_5F_50.csv')
write.csv(res[[7]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_5G_50.csv')
###################################### Scenario 6
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_6A_50.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_6B_50.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_6C_50.csv')
dat4 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_6D_50.csv')
dat5 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_6E_50.csv')
dat6 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_6F_50.csv')
dat7 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_6G_50.csv')
res <- pbmclapply(c('dat1','dat2','dat3','dat4','dat5','dat6','dat7'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.3))
write.csv(res[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_6A_50.csv')
write.csv(res[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_6B_50.csv')
write.csv(res[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_6C_50.csv')
write.csv(res[[4]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_6D_50.csv')
write.csv(res[[5]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_6E_50.csv')
write.csv(res[[6]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_6F_50.csv')
write.csv(res[[7]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_6G_50.csv')
###################################### Scenario 7
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_7A_50.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_7B_50.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_7C_50.csv')
dat4 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_7D_50.csv')
dat5 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_7E_50.csv')
dat6 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_7F_50.csv')
dat7 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_7G_50.csv')
res <- pbmclapply(c('dat1','dat2','dat3','dat4','dat5','dat6','dat7'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5))
write.csv(res[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_7A_50.csv')
write.csv(res[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_7B_50.csv')
write.csv(res[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_7C_50.csv')
write.csv(res[[4]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_7D_50.csv')
write.csv(res[[5]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_7E_50.csv')
write.csv(res[[6]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_7F_50.csv')
write.csv(res[[7]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_7G_50.csv')
###################################### Scenario 8
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_8A_50.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_8B_50.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_8C_50.csv')
dat4 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_8D_50.csv')
dat5 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_8E_50.csv')
dat6 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_8F_50.csv')
dat7 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_8G_50.csv')
res <- pbmclapply(c('dat1','dat2','dat3','dat4','dat5','dat6','dat7'),function(x) replicate_pcm_analysis(get(x),nbdif = 1,difsize = 0.5))
write.csv(res[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_8A_50.csv')
write.csv(res[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_8B_50.csv')
write.csv(res[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_8C_50.csv')
write.csv(res[[4]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_8D_50.csv')
write.csv(res[[5]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_8E_50.csv')
write.csv(res[[6]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_8F_50.csv')
write.csv(res[[7]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_8G_50.csv')
###################################### Scenario 9
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_9A_50.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_9B_50.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_9C_50.csv')
dat4 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_9D_50.csv')
dat5 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_9E_50.csv')
dat6 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_9F_50.csv')
dat7 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_9G_50.csv')
res <- pbmclapply(c('dat1','dat2','dat3','dat4','dat5','dat6','dat7'),function(x) replicate_pcm_analysis(get(x),nbdif = 2,difsize = 0.3))
write.csv(res[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_9A_50.csv')
write.csv(res[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_9B_50.csv')
write.csv(res[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_9C_50.csv')
write.csv(res[[4]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_9D_50.csv')
write.csv(res[[5]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_9E_50.csv')
write.csv(res[[6]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_9F_50.csv')
write.csv(res[[7]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_9G_50.csv')
###################################### Scenario 10
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_10A_50.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_10B_50.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_10C_50.csv')
dat4 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_10D_50.csv')
dat5 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_10E_50.csv')
dat6 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_10F_50.csv')
dat7 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_10G_50.csv')
res <- pbmclapply(c('dat1','dat2','dat3','dat4','dat5','dat6','dat7'),function(x) replicate_pcm_analysis(get(x),nbdif = 2,difsize = 0.3))
write.csv(res[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_10A_50.csv')
write.csv(res[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_10B_50.csv')
write.csv(res[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_10C_50.csv')
write.csv(res[[4]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_10D_50.csv')
write.csv(res[[5]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_10E_50.csv')
write.csv(res[[6]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_10F_50.csv')
write.csv(res[[7]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_10G_50.csv')
###################################### Scenario 11
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_11A_50.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_11B_50.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_11C_50.csv')
dat4 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_11D_50.csv')
dat5 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_11E_50.csv')
dat6 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_11F_50.csv')
dat7 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_11G_50.csv')
res <- pbmclapply(c('dat1','dat2','dat3','dat4','dat5','dat6','dat7'),function(x) replicate_pcm_analysis(get(x),nbdif = 2,difsize = 0.5))
write.csv(res[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_11A_50.csv')
write.csv(res[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_11B_50.csv')
write.csv(res[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_11C_50.csv')
write.csv(res[[4]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_11D_50.csv')
write.csv(res[[5]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_11E_50.csv')
write.csv(res[[6]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_11F_50.csv')
write.csv(res[[7]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_11G_50.csv')
###################################### Scenario 12
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_12A_50.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_12B_50.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_12C_50.csv')
dat4 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_12D_50.csv')
dat5 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_12E_50.csv')
dat6 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_12F_50.csv')
dat7 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_12G_50.csv')
res <- pbmclapply(c('dat1','dat2','dat3','dat4','dat5','dat6','dat7'),function(x) replicate_pcm_analysis(get(x),nbdif = 2,difsize = 0.5))
write.csv(res[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_12A_50.csv')
write.csv(res[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_12B_50.csv')
write.csv(res[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_12C_50.csv')
write.csv(res[[4]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_12D_50.csv')
write.csv(res[[5]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_12E_50.csv')
write.csv(res[[6]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_12F_50.csv')
write.csv(res[[7]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_12G_50.csv')
###################################### Scenario 13
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_13A_50.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_13B_50.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_13C_50.csv')
dat4 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_13D_50.csv')
dat5 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_13E_50.csv')
dat6 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_13F_50.csv')
dat7 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_13G_50.csv')
res <- pbmclapply(c('dat1','dat2','dat3','dat4','dat5','dat6','dat7'),function(x) replicate_pcm_analysis(get(x),nbdif = 2,difsize = 0.3))
write.csv(res[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_13A_50.csv')
write.csv(res[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_13B_50.csv')
write.csv(res[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_13C_50.csv')
write.csv(res[[4]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_13D_50.csv')
write.csv(res[[5]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_13E_50.csv')
write.csv(res[[6]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_13F_50.csv')
write.csv(res[[7]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_13G_50.csv')
###################################### Scenario 14
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_14A_50.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_14B_50.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_14C_50.csv')
dat4 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_14D_50.csv')
dat5 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_14E_50.csv')
dat6 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_14F_50.csv')
dat7 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_14G_50.csv')
res <- pbmclapply(c('dat1','dat2','dat3','dat4','dat5','dat6','dat7'),function(x) replicate_pcm_analysis(get(x),nbdif = 2,difsize = 0.3))
write.csv(res[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_14A_50.csv')
write.csv(res[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_14B_50.csv')
write.csv(res[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_14C_50.csv')
write.csv(res[[4]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_14D_50.csv')
write.csv(res[[5]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_14E_50.csv')
write.csv(res[[6]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_14F_50.csv')
write.csv(res[[7]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_14G_50.csv')
###################################### Scenario 15
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_15A_50.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_15B_50.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_15C_50.csv')
dat4 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_15D_50.csv')
dat5 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_15E_50.csv')
dat6 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_15F_50.csv')
dat7 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_15G_50.csv')
res <- pbmclapply(c('dat1','dat2','dat3','dat4','dat5','dat6','dat7'),function(x) replicate_pcm_analysis(get(x),nbdif = 2,difsize = 0.5))
write.csv(res[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_15A_50.csv')
write.csv(res[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_15B_50.csv')
write.csv(res[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_15C_50.csv')
write.csv(res[[4]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_15D_50.csv')
write.csv(res[[5]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_15E_50.csv')
write.csv(res[[6]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_15F_50.csv')
write.csv(res[[7]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_15G_50.csv')
###################################### Scenario 16
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_16A_50.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_16B_50.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_16C_50.csv')
dat4 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_16D_50.csv')
dat5 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_16E_50.csv')
dat6 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_16F_50.csv')
dat7 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_16G_50.csv')
res <- pbmclapply(c('dat1','dat2','dat3','dat4','dat5','dat6','dat7'),function(x) replicate_pcm_analysis(get(x),nbdif = 2,difsize = 0.5))
write.csv(res[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_16A_50.csv')
write.csv(res[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_16B_50.csv')
write.csv(res[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_16C_50.csv')
write.csv(res[[4]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_16D_50.csv')
write.csv(res[[5]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_16E_50.csv')
write.csv(res[[6]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_16F_50.csv')
write.csv(res[[7]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_16G_50.csv')
###################################### Scenario 17
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_17A_50.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_17B_50.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_17C_50.csv')
dat4 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_17D_50.csv')
dat5 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_17E_50.csv')
dat6 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_17F_50.csv')
dat7 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_17G_50.csv')
res <- pbmclapply(c('dat1','dat2','dat3','dat4','dat5','dat6','dat7'),function(x) replicate_pcm_analysis(get(x),nbdif = 3,difsize = 0.3))
write.csv(res[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_17A_50.csv')
write.csv(res[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_17B_50.csv')
write.csv(res[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_17C_50.csv')
write.csv(res[[4]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_17D_50.csv')
write.csv(res[[5]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_17E_50.csv')
write.csv(res[[6]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_17F_50.csv')
write.csv(res[[7]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_17G_50.csv')
###################################### Scenario 18
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_18A_50.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_18B_50.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_18C_50.csv')
dat4 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_18D_50.csv')
dat5 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_18E_50.csv')
dat6 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_18F_50.csv')
dat7 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_18G_50.csv')
res <- pbmclapply(c('dat1','dat2','dat3','dat4','dat5','dat6','dat7'),function(x) replicate_pcm_analysis(get(x),nbdif = 3,difsize = 0.3))
write.csv(res[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_18A_50.csv')
write.csv(res[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_18B_50.csv')
write.csv(res[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_18C_50.csv')
write.csv(res[[4]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_18D_50.csv')
write.csv(res[[5]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_18E_50.csv')
write.csv(res[[6]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_18F_50.csv')
write.csv(res[[7]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_18G_50.csv')
###################################### Scenario 19
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_19A_50.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_19B_50.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_19C_50.csv')
dat4 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_19D_50.csv')
dat5 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_19E_50.csv')
dat6 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_19F_50.csv')
dat7 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_19G_50.csv')
res <- pbmclapply(c('dat1','dat2','dat3','dat4','dat5','dat6','dat7'),function(x) replicate_pcm_analysis(get(x),nbdif = 3,difsize = 0.5))
write.csv(res[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_19A_50.csv')
write.csv(res[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_19B_50.csv')
write.csv(res[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_19C_50.csv')
write.csv(res[[4]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_19D_50.csv')
write.csv(res[[5]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_19E_50.csv')
write.csv(res[[6]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_19F_50.csv')
write.csv(res[[7]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_19G_50.csv')
###################################### Scenario 20
dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_20A_50.csv')
dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_20B_50.csv')
dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_20C_50.csv')
dat4 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_20D_50.csv')
dat5 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_20E_50.csv')
dat6 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_20F_50.csv')
dat7 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_20G_50.csv')
res <- pbmclapply(c('dat1','dat2','dat3','dat4','dat5','dat6','dat7'),function(x) replicate_pcm_analysis(get(x),nbdif = 3,difsize = 0.5))
write.csv(res[[1]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_20A_50.csv')
write.csv(res[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_20B_50.csv')
write.csv(res[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_20C_50.csv')
write.csv(res[[4]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_20D_50.csv')
write.csv(res[[5]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_20E_50.csv')
write.csv(res[[6]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_20F_50.csv')
write.csv(res[[7]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/scenario_20G_50.csv')
##############################################################################
#----------------------------------------------------------------------------#
################################# AGGREGATION ################################
#----------------------------------------------------------------------------#
##############################################################################
#### Create data.frame
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'))))
results2 <- c(sapply(10:20,function(x) paste0(x,c('A','B','C','D','E','F','G'))))
results <- c(sapply(c(50,100,200,300),function(x) paste0(results,'_',x)))
results2 <- c(sapply(c(50,100,200,300),function(x) paste0(results2,'_',x)))
results <- sort(results)
results2 <- sort(results2)
results <- c(results,results2)
#### Compiler function
compile_simulation <- function(scenario) {
name <- as.numeric(gsub("[^0-9.-]", "", substr(scenario,start=0,stop=2)))
if (substr(scenario,start=nchar(scenario)-1,stop=nchar(scenario))=="50" & name<=4) {
s <- read.csv(paste0('/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_',scenario,'.csv'))
}
if (substr(scenario,start=nchar(scenario)-1,stop=nchar(scenario))=="50" & name>4) {
s <- read.csv(paste0('/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_',scenario,'.csv'))
}
if (substr(scenario,start=nchar(scenario)-2,stop=nchar(scenario))=="100" & name<=4) {
s <- read.csv(paste0('/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N100/scenario_',scenario,'.csv'))
}
if (substr(scenario,start=nchar(scenario)-2,stop=nchar(scenario))=="100" & name>4) {
s <- read.csv(paste0('/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N100/scenario_',scenario,'_nodif.csv'))
}
if (substr(scenario,start=nchar(scenario)-2,stop=nchar(scenario))=="200" & name<=4) {
s <- read.csv(paste0('/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N200/scenario_',scenario,'.csv'))
}
if (substr(scenario,start=nchar(scenario)-2,stop=nchar(scenario))=="200" & name>4) {
s <- read.csv(paste0('/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N200/scenario_',scenario,'_nodif.csv'))
}
if (substr(scenario,start=nchar(scenario)-2,stop=nchar(scenario))=="300" & name<=4) {
s <- read.csv(paste0('/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N300/scenario_',scenario,'.csv'))
}
if (substr(scenario,start=nchar(scenario)-2,stop=nchar(scenario))=="300" & name>4) {
s <- read.csv(paste0('/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N300/scenario_',scenario,'_nodif.csv'))
}
if (unique(s$J)==4) {
if (unique(s$M)==2) {
a <- data.frame(m.item1=mean(s$item1),m.item2=mean(s$item2),m.item3=mean(s$item3),m.item4=mean(s$item4))
} else {
a <- data.frame(m.item1_1=mean(s$item1_1),m.item1_2=mean(s$item1_2),m.item1_3=mean(s$item1_3),
m.item2_1=mean(s$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$item3_3),
m.item4_1=mean(s$item4_1),m.item4_2=mean(s$item4_2),m.item4_3=mean(s$item4_3)
)
}
} else {
if (unique(s$M)==2) {
a <- data.frame(m.item1=mean(s$item1),m.item2=mean(s$item2),m.item3=mean(s$item3),m.item4=mean(s$item4),
m.item5=mean(s$item5),m.item6=mean(s$item6),m.item7=mean(s$item7))
} else {
a <- data.frame(m.item1_1=mean(s$item1_1),m.item1_2=mean(s$item1_2),m.item1_3=mean(s$item1_3),
m.item2_1=mean(s$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$item3_3),
m.item4_1=mean(s$item4_1),m.item4_2=mean(s$item4_2),m.item4_3=mean(s$item4_3),
m.item5_1=mean(s$item5_1),m.item5_2=mean(s$item5_2),m.item5_3=mean(s$item5_3),
m.item6_1=mean(s$item6_1),m.item6_2=mean(s$item6_2),m.item6_3=mean(s$item6_3),
m.item7_1=mean(s$item7_1),m.item7_2=mean(s$item7_2),m.item7_3=mean(s$item7_3)
)
}
}
N <- ifelse(substr(scenario,start=nchar(scenario)-1,stop=nchar(scenario))=="50","50",substr(scenario,start=nchar(scenario)-2,stop=nchar(scenario)))
zz <- ifelse(N=="50",substr(scenario,start=0,stop=nchar(scenario)-3),substr(scenario,start=0,stop=nchar(scenario)-4))
b <- data.frame(scenario=zz,
scenario.type=substr(zz,start=nchar(zz),stop=nchar(zz)),
N=N,
J=unique(s$J),
M=unique(s$M),
eff.size=unique(s$eff.size),
nb.dif=unique(s$nb.dif),
dif.size=unique(s$dif.size)
)
z <- data.frame(m.beta=mean(s$beta),
se.empirical.beta=sd(s$beta),
se.analytical.beta=mean(s$se.beta),
m.low.ci.beta=mean(s$low.ci.beta),
m.high.ci.beta=mean(s$high.ci.beta),
true.value.in.ci.p=mean(s$true.value.in.ci),
h0.rejected.p=mean(s$h0.rejected),
beta.same.sign.truebeta.p=mean(s$beta.same.sign.truebeta,na.rm=T),
beta.same.sign.truebeta.signif.p=mean(s[s$h0.rejected==1,]$beta.same.sign.truebeta,na.rm=T))
d <- cbind(b,a,z)
d$prop.
return(d)
}
#### Compiled results
res.dat <- compile_simulation('1A_100')
for (x in results[seq(2,length(results))]) {
y <- compile_simulation(x)
res.dat <- bind_rows(res.dat,y)
}
res.dat[res.dat$scenario.type=='A','dif.size'] <- -res.dat[res.dat$scenario.type=='A','dif.size']
res.dat[is.na(res.dat$dif.size),'dif.size'] <- 0
res.dat[193:417,'nb.dif'] <- 2
res.dat[417:528,'nb.dif'] <- 3
res.dat[res.dat$scenario.type=="B",]$eff.size <- 0.2
res.dat[res.dat$scenario.type=="C" & res.dat$dif.size==0,]$eff.size <- 0.4
res.dat[res.dat$scenario.type=="C" & res.dat$dif.size!=0,]$eff.size <- 0.2
res.dat[res.dat$scenario.type=="D" & res.dat$dif.size==0,]$eff.size <- -0.2
res.dat[res.dat$scenario.type=="D" & res.dat$dif.size!=0,]$eff.size <- 0.4
res.dat[res.dat$scenario.type=="E" & res.dat$dif.size==0,]$eff.size <- -0.4
res.dat[res.dat$scenario.type=="E" & res.dat$dif.size!=0,]$eff.size <- 0.4
res.dat[res.dat$scenario.type=="F",]$eff.size <- -0.2
res.dat[res.dat$scenario.type=="G",]$eff.size <- -0.4
View(res.dat)
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
##############################################################################
#----------------------------------------------------------------------------#
########################### AGGREGATION DIF MATRICES #########################
#----------------------------------------------------------------------------#
##############################################################################
#### Create data.frame
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'))))
results2 <- c(sapply(10:20,function(x) paste0(x,c('A','B','C','D','E','F','G'))))
results <- c(sapply(c(50,100,200,300),function(x) paste0(results,'_',x)))
results2 <- c(sapply(c(50,100,200,300),function(x) paste0(results2,'_',x)))
results <- sort(results)
results2 <- sort(results2)
results <- c(results,results2)[81:528]
#### Compiler function
compile_simulation2 <- function(scenario) {
name <- as.numeric(gsub("[^0-9.-]", "", substr(scenario,start=0,stop=2)))
if (substr(scenario,start=nchar(scenario)-1,stop=nchar(scenario))=="50" & name>4) {
s <- read_excel(paste0('/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N50/',scenario,'.xls'))
}
if (substr(scenario,start=nchar(scenario)-2,stop=nchar(scenario))=="100" & name>4) {
s <- read_excel(paste0('/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N100/',scenario,'.xls'))
}
if (substr(scenario,start=nchar(scenario)-2,stop=nchar(scenario))=="200" & name>4) {
s <- read_excel(paste0('/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N200/',scenario,'.xls'))
}
if (substr(scenario,start=nchar(scenario)-2,stop=nchar(scenario))=="300" & name>4) {
s <- read_excel(paste0('/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N300/',scenario,'.xls'))
}
J <- max(which(sapply(1:7,function(x) paste0('item',x) %in% colnames(s) | paste0('item',x,'_1') %in% colnames(s))))
M <- 1+sum(sapply(1:3,function(x) paste0('item1_',x) %in% colnames(s) ))
if (M==1) {M <- 2}
nb.dif <- max(which(sapply(1:3,function(x) paste0('dif',x) %in% colnames(s) | paste0('dif',x,'_1') %in% colnames(s))))
if (J==4) {
if (M==2) {
a <- data.frame(m.item1=mean(s$item1),m.item2=mean(s$item2),m.item3=mean(s$item3),m.item4=mean(s$item4))
} else {
a <- data.frame(m.item1_1=mean(s$item1_1),m.item1_2=mean(s$item1_2),m.item1_3=mean(s$item1_3),
m.item2_1=mean(s$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$item3_3),
m.item4_1=mean(s$item4_1),m.item4_2=mean(s$item4_2),m.item4_3=mean(s$item4_3)
)
}
} else {
if (M==2) {
a <- data.frame(m.item1=mean(s$item1),m.item2=mean(s$item2),m.item3=mean(s$item3),m.item4=mean(s$item4),
m.item5=mean(s$item5),m.item6=mean(s$item6),m.item7=mean(s$item7))
} else {
a <- data.frame(m.item1_1=mean(s$item1_1),m.item1_2=mean(s$item1_2),m.item1_3=mean(s$item1_3),
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),
m.item4_1=mean(s$item4_1),m.item4_2=mean(s$item4_2),m.item4_3=mean(s$item4_3),
m.item5_1=mean(s$item5_1),m.item5_2=mean(s$item5_2),m.item5_3=mean(s$item5_3),
m.item6_1=mean(s$item6_1),m.item6_2=mean(s$item6_2),m.item6_3=mean(s$item6_3),
m.item7_1=mean(s$item7_1),m.item7_2=mean(s$item7_2),m.item7_3=mean(s$item7_3)
)
}
}
N <- ifelse(substr(scenario,start=nchar(scenario)-1,stop=nchar(scenario))=="50","50",substr(scenario,start=nchar(scenario)-2,stop=nchar(scenario)))
zz <- ifelse(N=="50",substr(scenario,start=0,stop=nchar(scenario)-3),substr(scenario,start=0,stop=nchar(scenario)-4))
eff.size <- unique(res.dat[res.dat$scenario==zz & res.dat$N==N,'eff.size'])
dif.size <- unique(res.dat[res.dat$scenario==zz & res.dat$N==N,'dif.size'])
b <- data.frame(scenario=zz,
scenario.type=substr(zz,start=nchar(zz),stop=nchar(zz)),
N=N,
J=J,
M=M,
eff.size=eff.size,
nb.dif=nb.dif,
dif.size=dif.size
)
true.value.in.ci <- eff.size <= s$beta+1.96*s$se_beta & eff.size >= s$beta-1.96*s$se_beta
beta.same.sign.truebeta.p <- ifelse(rep(eff.size,nrow(s))==0,NA,(rep(eff.size,nrow(s))/s$beta)>0)
num.reject <- which((s$beta-1.96*s$se_beta)>0 | (s$beta+1.96*s$se_beta)<0)
z <- data.frame(m.beta=mean(s$beta),
se.empirical.beta=sd(s$beta),
se.analytical.beta=mean(s$se_beta),
m.low.ci.beta=mean(s$beta-1.96*s$se_beta),
m.high.ci.beta=mean(s$beta+1.96*s$se_beta),
true.value.in.ci.p=mean(true.value.in.ci),
h0.rejected.p=mean( (s$beta-1.96*s$se_beta)>0 | (s$beta+1.96*s$se_beta)<0 ),
beta.same.sign.truebeta.p=mean(beta.same.sign.truebeta.p),
beta.same.sign.truebeta.signif.p=mean(beta.same.sign.truebeta.p[num.reject])
)
d <- cbind(b,a,z)
d$prop.
return(d)
}
#### Compiled results
res.dat.dif <- compile_simulation2('5A_100')
for (x in results[seq(2,length(results))]) {
y <- compile_simulation2(x)
res.dat.dif <- bind_rows(res.dat.dif,y)
}
res.dat$bias <- res.dat$eff.size-res.dat$m.beta
res.dat.dif$bias <- res.dat.dif$eff.size-res.dat.dif$m.beta
##############################################################################
#----------------------------------------------------------------------------#
################################## RASCHPOWER ################################
#----------------------------------------------------------------------------#
##############################################################################
###### Puissance théorique
res.dat$theoretical.power <- 0
### Scénarios N=100
## Scénarios J=4 / M=2
res.dat[res.dat$scenario %in% paste0(c(1,5,7,9,11),'A') & res.dat$N==100,]$theoretical.power <- 0.05
res.dat[res.dat$scenario %in% paste0(c(1,5,7,9,11),'B') & res.dat$N==100,]$theoretical.power <- 0.1543
res.dat[res.dat$scenario %in% paste0(c(5,7,9,11),'C') & res.dat$N==100,]$theoretical.power <- 0.1543
res.dat[res.dat$scenario %in% paste0(c(5,7,9,11),'D') & res.dat$N==100,]$theoretical.power <- 0.4627
res.dat[res.dat$scenario %in% paste0(c(5,7,9,11),'E') & res.dat$N==100,]$theoretical.power <- 0.4627
res.dat[res.dat$scenario %in% paste0(c(5,7,9,11),'F') & res.dat$N==100,]$theoretical.power <- 0.1543
res.dat[res.dat$scenario %in% paste0(c(5,7,9,11),'G') & res.dat$N==100,]$theoretical.power <- 0.4627
res.dat[res.dat$scenario %in% paste0(1,'C') & res.dat$N==100,]$theoretical.power <- 0.4627
res.dat[res.dat$scenario %in% paste0(1,'D') & res.dat$N==100,]$theoretical.power <- 0.1543
res.dat[res.dat$scenario %in% paste0(1,'E') & res.dat$N==100,]$theoretical.power <- 0.4627
## Scénarios J=4 / M=4
res.dat[res.dat$scenario %in% paste0(c(2,6,8,10,12),'A') & res.dat$N==100,]$theoretical.power <- 0.05
res.dat[res.dat$scenario %in% paste0(c(2,6,8,10,12),'B') & res.dat$N==100,]$theoretical.power <- 0.2177
res.dat[res.dat$scenario %in% paste0(c(6,8,10,12),'C') & res.dat$N==100,]$theoretical.power <- 0.2177
res.dat[res.dat$scenario %in% paste0(c(6,8,10,12),'D') & res.dat$N==100,]$theoretical.power <- 0.6586
res.dat[res.dat$scenario %in% paste0(c(6,8,10,12),'E') & res.dat$N==100,]$theoretical.power <- 0.6586
res.dat[res.dat$scenario %in% paste0(c(6,8,10,12),'F') & res.dat$N==100,]$theoretical.power <- 0.2177
res.dat[res.dat$scenario %in% paste0(c(6,8,10,12),'G') & res.dat$N==100,]$theoretical.power <- 0.6586
res.dat[res.dat$scenario %in% paste0(2,'C') & res.dat$N==100,]$theoretical.power <- 0.6586
res.dat[res.dat$scenario %in% paste0(2,'D') & res.dat$N==100,]$theoretical.power <- 0.2177
res.dat[res.dat$scenario %in% paste0(2,'E') & res.dat$N==100,]$theoretical.power <- 0.6586
## Scénarios J=7 / M=2
res.dat[res.dat$scenario %in% paste0(c(3,13,15,17,19),'A') & res.dat$N==100,]$theoretical.power <- 0.05
res.dat[res.dat$scenario %in% paste0(c(3,13,15,17,19),'B') & res.dat$N==100,]$theoretical.power <- 0.1870
res.dat[res.dat$scenario %in% paste0(c(13,15,17,19),'C') & res.dat$N==100,]$theoretical.power <- 0.1870
res.dat[res.dat$scenario %in% paste0(c(13,15,17,19),'D') & res.dat$N==100,]$theoretical.power <- 0.5666
res.dat[res.dat$scenario %in% paste0(c(13,15,17,19),'E') & res.dat$N==100,]$theoretical.power <- 0.5666
res.dat[res.dat$scenario %in% paste0(c(13,15,17,19),'F') & res.dat$N==100,]$theoretical.power <- 0.1870
res.dat[res.dat$scenario %in% paste0(c(13,15,17,19),'G') & res.dat$N==100,]$theoretical.power <- 0.5666
res.dat[res.dat$scenario %in% paste0(3,'C') & res.dat$N==100,]$theoretical.power <- 0.5666
res.dat[res.dat$scenario %in% paste0(3,'D') & res.dat$N==100,]$theoretical.power <- 0.1870
res.dat[res.dat$scenario %in% paste0(3,'E') & res.dat$N==100,]$theoretical.power <- 0.5666
## Scénarios J=7 / M=4
res.dat[res.dat$scenario %in% paste0(c(4,14,16,18,20),'A') & res.dat$N==100,]$theoretical.power <- 0.05
res.dat[res.dat$scenario %in% paste0(c(4,14,16,18,20),'B') & res.dat$N==100,]$theoretical.power <- 0.2450
res.dat[res.dat$scenario %in% paste0(c(14,16,18,20),'C') & res.dat$N==100,]$theoretical.power <- 0.2450
res.dat[res.dat$scenario %in% paste0(c(14,16,18,20),'D') & res.dat$N==100,]$theoretical.power <- 0.7136
res.dat[res.dat$scenario %in% paste0(c(14,16,18,20),'E') & res.dat$N==100,]$theoretical.power <- 0.7136
res.dat[res.dat$scenario %in% paste0(c(14,16,18,20),'F') & res.dat$N==100,]$theoretical.power <- 0.2450
res.dat[res.dat$scenario %in% paste0(c(14,16,18,20),'G') & res.dat$N==100,]$theoretical.power <- 0.7136
res.dat[res.dat$scenario %in% paste0(4,'C') & res.dat$N==100,]$theoretical.power <- 0.7136
res.dat[res.dat$scenario %in% paste0(4,'D') & res.dat$N==100,]$theoretical.power <- 0.2450
res.dat[res.dat$scenario %in% paste0(4,'E') & res.dat$N==100,]$theoretical.power <- 0.7136
### Scénarios N=200
## Scénarios J=4 / M=2
res.dat[res.dat$scenario %in% paste0(c(1,5,7,9,11),'A') & res.dat$N==200,]$theoretical.power <- 0.05
res.dat[res.dat$scenario %in% paste0(c(1,5,7,9,11),'B') & res.dat$N==200,]$theoretical.power <- 0.2618
res.dat[res.dat$scenario %in% paste0(c(5,7,9,11),'C') & res.dat$N==200,]$theoretical.power <- 0.2618
res.dat[res.dat$scenario %in% paste0(c(5,7,9,11),'D') & res.dat$N==200,]$theoretical.power <- 0.7507
res.dat[res.dat$scenario %in% paste0(c(5,7,9,11),'E') & res.dat$N==200,]$theoretical.power <- 0.7507
res.dat[res.dat$scenario %in% paste0(c(5,7,9,11),'F') & res.dat$N==200,]$theoretical.power <- 0.2618
res.dat[res.dat$scenario %in% paste0(c(5,7,9,11),'G') & res.dat$N==200,]$theoretical.power <- 0.7507
res.dat[res.dat$scenario %in% paste0(1,'C') & res.dat$N==200,]$theoretical.power <- 0.7507
res.dat[res.dat$scenario %in% paste0(1,'D') & res.dat$N==200,]$theoretical.power <- 0.2618
res.dat[res.dat$scenario %in% paste0(1,'E') & res.dat$N==200,]$theoretical.power <- 0.7507
## Scénarios J=4 / M=4
res.dat[res.dat$scenario %in% paste0(c(2,6,8,10,12),'A') & res.dat$N==200,]$theoretical.power <- 0.05
res.dat[res.dat$scenario %in% paste0(c(2,6,8,10,12),'B') & res.dat$N==200,]$theoretical.power <- 0.3875
res.dat[res.dat$scenario %in% paste0(c(6,8,10,12),'C') & res.dat$N==200,]$theoretical.power <- 0.3875
res.dat[res.dat$scenario %in% paste0(c(6,8,10,12),'D') & res.dat$N==200,]$theoretical.power <- 0.9161
res.dat[res.dat$scenario %in% paste0(c(6,8,10,12),'E') & res.dat$N==200,]$theoretical.power <- 0.9161
res.dat[res.dat$scenario %in% paste0(c(6,8,10,12),'F') & res.dat$N==200,]$theoretical.power <- 0.3875
res.dat[res.dat$scenario %in% paste0(c(6,8,10,12),'G') & res.dat$N==200,]$theoretical.power <- 0.9161
res.dat[res.dat$scenario %in% paste0(2,'C') & res.dat$N==200,]$theoretical.power <- 0.9161
res.dat[res.dat$scenario %in% paste0(2,'D') & res.dat$N==200,]$theoretical.power <- 0.3875
res.dat[res.dat$scenario %in% paste0(2,'E') & res.dat$N==200,]$theoretical.power <- 0.9161
## Scénarios J=7 / M=2
res.dat[res.dat$scenario %in% paste0(c(3,13,15,17,19),'A') & res.dat$N==200,]$theoretical.power <- 0.05
res.dat[res.dat$scenario %in% paste0(c(3,13,15,17,19),'B') & res.dat$N==200,]$theoretical.power <- 0.3258
res.dat[res.dat$scenario %in% paste0(c(13,15,17,19),'C') & res.dat$N==200,]$theoretical.power <- 0.3258
res.dat[res.dat$scenario %in% paste0(c(13,15,17,19),'D') & res.dat$N==200,]$theoretical.power <- 0.8538
res.dat[res.dat$scenario %in% paste0(c(13,15,17,19),'E') & res.dat$N==200,]$theoretical.power <- 0.8538
res.dat[res.dat$scenario %in% paste0(c(13,15,17,19),'F') & res.dat$N==200,]$theoretical.power <- 0.3258
res.dat[res.dat$scenario %in% paste0(c(13,15,17,19),'G') & res.dat$N==200,]$theoretical.power <- 0.8538
res.dat[res.dat$scenario %in% paste0(3,'C') & res.dat$N==200,]$theoretical.power <- 0.8538
res.dat[res.dat$scenario %in% paste0(3,'D') & res.dat$N==200,]$theoretical.power <- 0.3258
res.dat[res.dat$scenario %in% paste0(3,'E') & res.dat$N==200,]$theoretical.power <- 0.8538
## Scénarios J=7 / M=4
res.dat[res.dat$scenario %in% paste0(c(4,14,16,18,20),'A') & res.dat$N==200,]$theoretical.power <- 0.05
res.dat[res.dat$scenario %in% paste0(c(4,14,16,18,20),'B') & res.dat$N==200,]$theoretical.power <- 0.4321
res.dat[res.dat$scenario %in% paste0(c(14,16,18,20),'C') & res.dat$N==200,]$theoretical.power <- 0.4321
res.dat[res.dat$scenario %in% paste0(c(14,16,18,20),'D') & res.dat$N==200,]$theoretical.power <- 0.9471
res.dat[res.dat$scenario %in% paste0(c(14,16,18,20),'E') & res.dat$N==200,]$theoretical.power <- 0.9471
res.dat[res.dat$scenario %in% paste0(c(14,16,18,20),'F') & res.dat$N==200,]$theoretical.power <- 0.4321
res.dat[res.dat$scenario %in% paste0(c(14,16,18,20),'G') & res.dat$N==200,]$theoretical.power <- 0.9471
res.dat[res.dat$scenario %in% paste0(4,'C') & res.dat$N==200,]$theoretical.power <- 0.9471
res.dat[res.dat$scenario %in% paste0(4,'D') & res.dat$N==200,]$theoretical.power <- 0.4321
res.dat[res.dat$scenario %in% paste0(4,'E') & res.dat$N==200,]$theoretical.power <- 0.9471
### Scénarios N=300
## Scénarios J=4 / M=2
res.dat[res.dat$scenario %in% paste0(c(1,5,7,9,11),'A') & res.dat$N==300,]$theoretical.power <- 0.05
res.dat[res.dat$scenario %in% paste0(c(1,5,7,9,11),'B') & res.dat$N==300,]$theoretical.power <- 0.3660
res.dat[res.dat$scenario %in% paste0(c(5,7,9,11),'C') & res.dat$N==300,]$theoretical.power <- 0.3660
res.dat[res.dat$scenario %in% paste0(c(5,7,9,11),'D') & res.dat$N==300,]$theoretical.power <- 0.8981
res.dat[res.dat$scenario %in% paste0(c(5,7,9,11),'E') & res.dat$N==300,]$theoretical.power <- 0.8981
res.dat[res.dat$scenario %in% paste0(c(5,7,9,11),'F') & res.dat$N==300,]$theoretical.power <- 0.3660
res.dat[res.dat$scenario %in% paste0(c(5,7,9,11),'G') & res.dat$N==300,]$theoretical.power <- 0.8981
res.dat[res.dat$scenario %in% paste0(1,'C') & res.dat$N==300,]$theoretical.power <- 0.8981
res.dat[res.dat$scenario %in% paste0(1,'D') & res.dat$N==300,]$theoretical.power <- 0.3660
res.dat[res.dat$scenario %in% paste0(1,'E') & res.dat$N==300,]$theoretical.power <- 0.8981
## Scénarios J=4 / M=4
res.dat[res.dat$scenario %in% paste0(c(2,6,8,10,12),'A') & res.dat$N==300,]$theoretical.power <- 0.05
res.dat[res.dat$scenario %in% paste0(c(2,6,8,10,12),'B') & res.dat$N==300,]$theoretical.power <- 0.5373
res.dat[res.dat$scenario %in% paste0(c(6,8,10,12),'C') & res.dat$N==300,]$theoretical.power <- 0.5373
res.dat[res.dat$scenario %in% paste0(c(6,8,10,12),'D') & res.dat$N==300,]$theoretical.power <- 0.9834
res.dat[res.dat$scenario %in% paste0(c(6,8,10,12),'E') & res.dat$N==300,]$theoretical.power <- 0.9834
res.dat[res.dat$scenario %in% paste0(c(6,8,10,12),'F') & res.dat$N==300,]$theoretical.power <- 0.5373
res.dat[res.dat$scenario %in% paste0(c(6,8,10,12),'G') & res.dat$N==300,]$theoretical.power <- 0.9834
res.dat[res.dat$scenario %in% paste0(2,'C') & res.dat$N==300,]$theoretical.power <- 0.9834
res.dat[res.dat$scenario %in% paste0(2,'D') & res.dat$N==300,]$theoretical.power <- 0.5373
res.dat[res.dat$scenario %in% paste0(2,'E') & res.dat$N==300,]$theoretical.power <- 0.9834
## Scénarios J=7 / M=2
res.dat[res.dat$scenario %in% paste0(c(3,13,15,17,19),'A') & res.dat$N==300,]$theoretical.power <- 0.05
res.dat[res.dat$scenario %in% paste0(c(3,13,15,17,19),'B') & res.dat$N==300,]$theoretical.power <- 0.4550
res.dat[res.dat$scenario %in% paste0(c(13,15,17,19),'C') & res.dat$N==300,]$theoretical.power <- 0.4550
res.dat[res.dat$scenario %in% paste0(c(13,15,17,19),'D') & res.dat$N==300,]$theoretical.power <- 0.9584
res.dat[res.dat$scenario %in% paste0(c(13,15,17,19),'E') & res.dat$N==300,]$theoretical.power <- 0.9584
res.dat[res.dat$scenario %in% paste0(c(13,15,17,19),'F') & res.dat$N==300,]$theoretical.power <- 0.4550
res.dat[res.dat$scenario %in% paste0(c(13,15,17,19),'G') & res.dat$N==300,]$theoretical.power <- 0.9584
res.dat[res.dat$scenario %in% paste0(3,'C') & res.dat$N==300,]$theoretical.power <- 0.9584
res.dat[res.dat$scenario %in% paste0(3,'D') & res.dat$N==300,]$theoretical.power <- 0.4550
res.dat[res.dat$scenario %in% paste0(3,'E') & res.dat$N==300,]$theoretical.power <- 0.9584
## Scénarios J=7 / M=4
res.dat[res.dat$scenario %in% paste0(c(4,14,16,18,20),'A') & res.dat$N==300,]$theoretical.power <- 0.05
res.dat[res.dat$scenario %in% paste0(c(4,14,16,18,20),'B') & res.dat$N==300,]$theoretical.power <- 0.5907
res.dat[res.dat$scenario %in% paste0(c(14,16,18,20),'C') & res.dat$N==300,]$theoretical.power <- 0.5907
res.dat[res.dat$scenario %in% paste0(c(14,16,18,20),'D') & res.dat$N==300,]$theoretical.power <- 0.9919
res.dat[res.dat$scenario %in% paste0(c(14,16,18,20),'E') & res.dat$N==300,]$theoretical.power <- 0.9919
res.dat[res.dat$scenario %in% paste0(c(14,16,18,20),'F') & res.dat$N==300,]$theoretical.power <- 0.5907
res.dat[res.dat$scenario %in% paste0(c(14,16,18,20),'G') & res.dat$N==300,]$theoretical.power <- 0.9919
res.dat[res.dat$scenario %in% paste0(4,'C') & res.dat$N==300,]$theoretical.power <- 0.9919
res.dat[res.dat$scenario %in% paste0(4,'D') & res.dat$N==300,]$theoretical.power <- 0.5907
res.dat[res.dat$scenario %in% paste0(4,'E') & res.dat$N==300,]$theoretical.power <- 0.9919
### Scénarios N=50
## Scénarios J=4 / M=2
res.dat[res.dat$scenario %in% paste0(c(1,5,7,9,11),'A') & res.dat$N==50,]$theoretical.power <- 0.05
res.dat[res.dat$scenario %in% paste0(c(1,5,7,9,11),'B') & res.dat$N==50,]$theoretical.power <- 0.1013
res.dat[res.dat$scenario %in% paste0(c(5,7,9,11),'C') & res.dat$N==50,]$theoretical.power <- 0.1013
res.dat[res.dat$scenario %in% paste0(c(5,7,9,11),'D') & res.dat$N==50,]$theoretical.power <- 0.2615
res.dat[res.dat$scenario %in% paste0(c(5,7,9,11),'E') & res.dat$N==50,]$theoretical.power <- 0.2615
res.dat[res.dat$scenario %in% paste0(c(5,7,9,11),'F') & res.dat$N==50,]$theoretical.power <- 0.1013
res.dat[res.dat$scenario %in% paste0(c(5,7,9,11),'G') & res.dat$N==50,]$theoretical.power <- 0.2615
res.dat[res.dat$scenario %in% paste0(1,'C') & res.dat$N==50,]$theoretical.power <- 0.2615
res.dat[res.dat$scenario %in% paste0(1,'D') & res.dat$N==50,]$theoretical.power <- 0.1013
res.dat[res.dat$scenario %in% paste0(1,'E') & res.dat$N==50,]$theoretical.power <- 0.2615
## Scénarios J=4 / M=4
res.dat[res.dat$scenario %in% paste0(c(2,6,8,10,12),'A') & res.dat$N==50,]$theoretical.power <- 0.05
res.dat[res.dat$scenario %in% paste0(c(2,6,8,10,12),'B') & res.dat$N==50,]$theoretical.power <- 0.1339
res.dat[res.dat$scenario %in% paste0(c(6,8,10,12),'C') & res.dat$N==50,]$theoretical.power <- 0.1339
res.dat[res.dat$scenario %in% paste0(c(6,8,10,12),'D') & res.dat$N==50,]$theoretical.power <- 0.3863
res.dat[res.dat$scenario %in% paste0(c(6,8,10,12),'E') & res.dat$N==50,]$theoretical.power <- 0.3863
res.dat[res.dat$scenario %in% paste0(c(6,8,10,12),'F') & res.dat$N==50,]$theoretical.power <- 0.1339
res.dat[res.dat$scenario %in% paste0(c(6,8,10,12),'G') & res.dat$N==50,]$theoretical.power <- 0.3863
res.dat[res.dat$scenario %in% paste0(2,'C') & res.dat$N==50,]$theoretical.power <- 0.3863
res.dat[res.dat$scenario %in% paste0(2,'D') & res.dat$N==50,]$theoretical.power <- 0.1339
res.dat[res.dat$scenario %in% paste0(2,'E') & res.dat$N==50,]$theoretical.power <- 0.3863
## Scénarios J=7 / M=2
res.dat[res.dat$scenario %in% paste0(c(3,13,15,17,19),'A') & res.dat$N==50,]$theoretical.power <- 0.05
res.dat[res.dat$scenario %in% paste0(c(3,13,15,17,19),'B') & res.dat$N==50,]$theoretical.power <- 0.1171
res.dat[res.dat$scenario %in% paste0(c(13,15,17,19),'C') & res.dat$N==50,]$theoretical.power <- 0.1171
res.dat[res.dat$scenario %in% paste0(c(13,15,17,19),'D') & res.dat$N==50,]$theoretical.power <- 0.3236
res.dat[res.dat$scenario %in% paste0(c(13,15,17,19),'E') & res.dat$N==50,]$theoretical.power <- 0.3236
res.dat[res.dat$scenario %in% paste0(c(13,15,17,19),'F') & res.dat$N==50,]$theoretical.power <- 0.1171
res.dat[res.dat$scenario %in% paste0(c(13,15,17,19),'G') & res.dat$N==50,]$theoretical.power <- 0.3236
res.dat[res.dat$scenario %in% paste0(3,'C') & res.dat$N==50,]$theoretical.power <- 0.3236
res.dat[res.dat$scenario %in% paste0(3,'D') & res.dat$N==50,]$theoretical.power <- 0.1171
res.dat[res.dat$scenario %in% paste0(3,'E') & res.dat$N==50,]$theoretical.power <- 0.3236
## Scénarios J=7 / M=4
res.dat[res.dat$scenario %in% paste0(c(4,14,16,18,20),'A') & res.dat$N==50,]$theoretical.power <- 0.05
res.dat[res.dat$scenario %in% paste0(c(4,14,16,18,20),'B') & res.dat$N==50,]$theoretical.power <- 0.1448
res.dat[res.dat$scenario %in% paste0(c(14,16,18,20),'C') & res.dat$N==50,]$theoretical.power <- 0.1448
res.dat[res.dat$scenario %in% paste0(c(14,16,18,20),'D') & res.dat$N==50,]$theoretical.power <- 0.4328
res.dat[res.dat$scenario %in% paste0(c(14,16,18,20),'E') & res.dat$N==50,]$theoretical.power <- 0.4328
res.dat[res.dat$scenario %in% paste0(c(14,16,18,20),'F') & res.dat$N==50,]$theoretical.power <- 0.1448
res.dat[res.dat$scenario %in% paste0(c(14,16,18,20),'G') & res.dat$N==50,]$theoretical.power <- 0.4328
res.dat[res.dat$scenario %in% paste0(4,'C') & res.dat$N==50,]$theoretical.power <- 0.4328
res.dat[res.dat$scenario %in% paste0(4,'D') & res.dat$N==50,]$theoretical.power <- 0.1448
res.dat[res.dat$scenario %in% paste0(4,'E') & res.dat$N==50,]$theoretical.power <- 0.4328
### DIF scenarios
res.dat.dif$theoretical.power <- res.dat[81:nrow(res.dat),]$theoretical.power
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