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simul_these/RProject/Scripts/Analysis/resali_analysis.R

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##############################################################################
#----------------------------------------------------------------------------#
################################### RESALI ###################################
#----------------------------------------------------------------------------#
##############################################################################
source(paste0(getwd(),"/functions/resali.R"))
generate_resali <- function(scenario=NULL,grp=NULL) {
scen <- as.numeric(gsub("[A,B,C,D,E,F,G,_]","",substr(scenario,0,3)))
if (substr(scenario,start=nchar(scenario)-1,stop=nchar(scenario))=="50") {
N <- 50
}
if (substr(scenario,start=nchar(scenario)-2,stop=nchar(scenario))=="100") {
N <- 100
}
if (substr(scenario,start=nchar(scenario)-2,stop=nchar(scenario))=="200") {
N <- 200
}
if (substr(scenario,start=nchar(scenario)-2,stop=nchar(scenario))=="300") {
N <- 300
}
if (scen<5) {
dat <- read.csv(paste0('/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N',N,'/scenario_',scenario,'.csv'))
}
if (scen>=5) {
dat <- read.csv(paste0('/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N',N,'/scenario_',scenario,'.csv'))
}
if (scen%in%c(3,4,13:20)) {
res <- resali(df=dat[dat$replication==1,],items = seq(1,7),group=grp,verbose=FALSE)
df_res <- data.frame(dif.detect.1=ifelse(length(res$dif.items)>=1,res$dif.items[1],NA),
dif.detect.2=ifelse(length(res$dif.items)>=2,res$dif.items[2],NA),
dif.detect.3=ifelse(length(res$dif.items)>=3,res$dif.items[3],NA),
dif.detect.4=ifelse(length(res$dif.items)>=4,res$dif.items[4],NA),
dif.detect.5=ifelse(length(res$dif.items)>=5,res$dif.items[5],NA),
dif.detect.6=ifelse(length(res$dif.items)>=6,res$dif.items[6],NA),
dif.detect.7=ifelse(length(res$dif.items)>=7,res$dif.items[7],NA),
dif.detect.unif.1=ifelse(length(res$uniform)>=1,res$uniform[1],NA),
dif.detect.unif.2=ifelse(length(res$uniform)>=2,res$uniform[2],NA),
dif.detect.unif.3=ifelse(length(res$uniform)>=3,res$uniform[3],NA),
dif.detect.unif.4=ifelse(length(res$uniform)>=4,res$uniform[4],NA),
dif.detect.unif.5=ifelse(length(res$uniform)>=5,res$uniform[5],NA),
dif.detect.unif.6=ifelse(length(res$uniform)>=6,res$uniform[6],NA),
dif.detect.unif.7=ifelse(length(res$uniform)>=7,res$uniform[7],NA),
N=N,
nbdif=ifelse(scen<=4,0,ifelse(scen<=16,2,3)),
true.dif.1=ifelse(scen<=4,NA,unique(dat[dat$replication==1,]$dif1)),
true.dif.2=ifelse(scen<=4,NA,unique(dat[dat$replication==1,]$dif2)),
true.dif.3=ifelse(scen<=16,NA,unique(dat[dat$replication==1,]$dif3))
)
for (k in 2:1000) {
if (k%%100==0) {
cat(paste0('N=',k,'/1000\n'))
}
res <- resali(df=dat[dat$replication==k,],items = seq(1,7),group=grp,verbose=FALSE)
df_res2 <- data.frame(dif.detect.1=ifelse(length(res$dif.items)>=1,res$dif.items[1],NA),
dif.detect.2=ifelse(length(res$dif.items)>=2,res$dif.items[2],NA),
dif.detect.3=ifelse(length(res$dif.items)>=3,res$dif.items[3],NA),
dif.detect.4=ifelse(length(res$dif.items)>=4,res$dif.items[4],NA),
dif.detect.5=ifelse(length(res$dif.items)>=5,res$dif.items[5],NA),
dif.detect.6=ifelse(length(res$dif.items)>=6,res$dif.items[6],NA),
dif.detect.7=ifelse(length(res$dif.items)>=7,res$dif.items[7],NA),
dif.detect.unif.1=ifelse(length(res$uniform)>=1,res$uniform[1],NA),
dif.detect.unif.2=ifelse(length(res$uniform)>=2,res$uniform[2],NA),
dif.detect.unif.3=ifelse(length(res$uniform)>=3,res$uniform[3],NA),
dif.detect.unif.4=ifelse(length(res$uniform)>=4,res$uniform[4],NA),
dif.detect.unif.5=ifelse(length(res$uniform)>=5,res$uniform[5],NA),
dif.detect.unif.6=ifelse(length(res$uniform)>=6,res$uniform[6],NA),
dif.detect.unif.7=ifelse(length(res$uniform)>=7,res$uniform[7],NA),
N=N,
nbdif=ifelse(scen<=4,0,ifelse(scen<=16,2,3)),
true.dif.1=ifelse(scen<=4,NA,unique(dat[dat$replication==k,]$dif1)),
true.dif.2=ifelse(scen<=4,NA,unique(dat[dat$replication==k,]$dif2)),
true.dif.3=ifelse(scen<=16,NA,unique(dat[dat$replication==k,]$dif3)))
df_res <- rbind(df_res,df_res2)
}
}
else if (scen%in%c(1,2,5:12)) {
res <- resali(df=dat[dat$replication==1,],items = seq(1,4),group=grp,verbose=FALSE)
df_res <- data.frame(dif.detect.1=ifelse(length(res$dif.items)>=1,res$dif.items[1],NA),
dif.detect.2=ifelse(length(res$dif.items)>=2,res$dif.items[2],NA),
dif.detect.3=ifelse(length(res$dif.items)>=3,res$dif.items[3],NA),
dif.detect.4=ifelse(length(res$dif.items)>=4,res$dif.items[4],NA),
dif.detect.unif.1=ifelse(length(res$uniform)>=1,res$uniform[1],NA),
dif.detect.unif.2=ifelse(length(res$uniform)>=2,res$uniform[2],NA),
dif.detect.unif.3=ifelse(length(res$uniform)>=3,res$uniform[3],NA),
dif.detect.unif.4=ifelse(length(res$uniform)>=4,res$uniform[4],NA),
N=N,
nbdif=ifelse(scen<=4,0,ifelse(scen<=8,1,2)),
true.dif.1=ifelse(scen<=4,NA,unique(dat[dat$replication==1,]$dif1)),
true.dif.2=ifelse(scen<=8,NA,unique(dat[dat$replication==1,]$dif2))
)
for (k in 2:1000) {
if (k%%100==0) {
cat(paste0('N=',k,'/1000\n'))
}
res <- resali(df=dat[dat$replication==k,],items = seq(1,4),group=grp,verbose=FALSE)
df_res2 <- data.frame(dif.detect.1=ifelse(length(res$dif.items)>=1,res$dif.items[1],NA),
dif.detect.2=ifelse(length(res$dif.items)>=2,res$dif.items[2],NA),
dif.detect.3=ifelse(length(res$dif.items)>=3,res$dif.items[3],NA),
dif.detect.4=ifelse(length(res$dif.items)>=4,res$dif.items[4],NA),
dif.detect.unif.1=ifelse(length(res$uniform)>=1,res$uniform[1],NA),
dif.detect.unif.2=ifelse(length(res$uniform)>=2,res$uniform[2],NA),
dif.detect.unif.3=ifelse(length(res$uniform)>=3,res$uniform[3],NA),
dif.detect.unif.4=ifelse(length(res$uniform)>=4,res$uniform[4],NA),
N=N,
nbdif=ifelse(scen<=4,0,ifelse(scen<=8,1,2)),
true.dif.1=ifelse(scen<=4,NA,unique(dat[dat$replication==k,]$dif1)),
true.dif.2=ifelse(scen<=8,NA,unique(dat[dat$replication==k,]$dif2)))
df_res <- rbind(df_res,df_res2)
}
}
return(df_res)
}
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)
for (r in results) {
cat(paste0(r,"\n"))
cat(paste0("-------------------------------------------","\n"))
write.csv(generate_resali(r,"TT"),paste0("/home/corentin/Documents/These/Recherche/Simulations/Analysis/RESALI/Detection/",r,".csv"))
cat(paste0("-------------------------------------------","\n"))
}
##############################################################################
#----------------------------------------------------------------------------#
################################### NEWDATA ##################################
#----------------------------------------------------------------------------#
##############################################################################
## Liste des scenarios
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)
## Importer l'analyse resali pour chaque scenario
for (r in results) {
cat('--------------------------------------------------------------------------\n')
cat(paste0(r,"\n"))
cat('--------------------------------------------------------------------------\n')
#### Importer les datas
scen <- as.numeric(gsub("[A,B,C,D,E,F,G,_]","",substr(r,0,3)))
if (substr(r,start=nchar(r)-1,stop=nchar(r))=="50") {
N <- 50
}
if (substr(r,start=nchar(r)-2,stop=nchar(r))=="100") {
N <- 100
}
if (substr(r,start=nchar(r)-2,stop=nchar(r))=="200") {
N <- 200
}
if (substr(r,start=nchar(r)-2,stop=nchar(r))=="300") {
N <- 300
}
if (scen<5) {
datt <- read.csv(paste0('/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N',N,'/scenario_',r,'.csv'))
}
if (scen>=5) {
datt <- read.csv(paste0('/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N',N,'/scenario_',r,'.csv'))
}
#### Importer l'analyse
analyse <- read.csv(paste0('/home/corentin/Documents/These/Recherche/Simulations/Analysis/RESALI/Detection/',r,".csv"))
#### Pour chaque replication
for (k in 1:1000) {
if (k%%100==0) {
cat(paste0("N = ",k," / 1000\n"))
}
datt[datt$replication==k,"dif.detect.1"] <- analyse[analyse$X==k,"dif.detect.1"]
datt[datt$replication==k,"dif.detect.2"] <- analyse[analyse$X==k,"dif.detect.2"]
datt[datt$replication==k,"dif.detect.3"] <- analyse[analyse$X==k,"dif.detect.3"]
datt[datt$replication==k,"dif.detect.4"] <- analyse[analyse$X==k,"dif.detect.4"]
datt[datt$replication==k,"dif.detect.unif.1"] <- analyse[analyse$X==k,"dif.detect.unif.1"]
datt[datt$replication==k,"dif.detect.unif.2"] <- analyse[analyse$X==k,"dif.detect.unif.2"]
datt[datt$replication==k,"dif.detect.unif.3"] <- analyse[analyse$X==k,"dif.detect.unif.3"]
datt[datt$replication==k,"dif.detect.unif.4"] <- analyse[analyse$X==k,"dif.detect.unif.4"]
if (scen==3 | scen==4 | scen>=13) {
datt[datt$replication==k,"dif.detect.5"] <- analyse[analyse$X==k,"dif.detect.5"]
datt[datt$replication==k,"dif.detect.6"] <- analyse[analyse$X==k,"dif.detect.6"]
datt[datt$replication==k,"dif.detect.7"] <- analyse[analyse$X==k,"dif.detect.7"]
datt[datt$replication==k,"dif.detect.unif.5"] <- analyse[analyse$X==k,"dif.detect.unif.5"]
datt[datt$replication==k,"dif.detect.unif.6"] <- analyse[analyse$X==k,"dif.detect.unif.6"]
datt[datt$replication==k,"dif.detect.unif.7"] <- analyse[analyse$X==k,"dif.detect.unif.7"]
}
}
datt[is.na(datt$dif.detect.1),"dif.detect.1"] <- ""
datt[is.na(datt$dif.detect.2),"dif.detect.2"] <- ""
datt[is.na(datt$dif.detect.3),"dif.detect.3"] <- ""
datt[is.na(datt$dif.detect.4),"dif.detect.4"] <- ""
datt[is.na(datt$dif.detect.unif.1),"dif.detect.unif.1"] <- ""
datt[is.na(datt$dif.detect.unif.2),"dif.detect.unif.2"] <- ""
datt[is.na(datt$dif.detect.unif.3),"dif.detect.unif.3"] <- ""
datt[is.na(datt$dif.detect.unif.4),"dif.detect.unif.4"] <- ""
if (scen==3 | scen==4 | scen>=13) {
datt[is.na(datt$dif.detect.5),"dif.detect.5"] <- ""
datt[is.na(datt$dif.detect.6),"dif.detect.6"] <- ""
datt[is.na(datt$dif.detect.7),"dif.detect.7"] <- ""
datt[is.na(datt$dif.detect.unif.5),"dif.detect.unif.5"] <- ""
datt[is.na(datt$dif.detect.unif.6),"dif.detect.unif.6"] <- ""
datt[is.na(datt$dif.detect.unif.7),"dif.detect.unif.7"] <- ""
}
write.csv(datt,paste0("/home/corentin/Documents/These/Recherche/Simulations/Analysis/RESALI/Detection_data/",r,".csv"))
}
for (r in results) {
cat('--------------------------------------------------------------------------\n')
cat(paste0(r,"\n"))
cat('--------------------------------------------------------------------------\n')
#### Importer les datas
scen <- as.numeric(gsub("[A,B,C,D,E,F,G,_]","",substr(r,0,3)))
if (substr(r,start=nchar(r)-1,stop=nchar(r))=="50") {
N <- 50
}
if (substr(r,start=nchar(r)-2,stop=nchar(r))=="100") {
N <- 100
}
if (substr(r,start=nchar(r)-2,stop=nchar(r))=="200") {
N <- 200
}
if (substr(r,start=nchar(r)-2,stop=nchar(r))=="300") {
N <- 300
}
#### Importer l'analyse
analyse <- read.csv(paste0("/home/corentin/Documents/These/Recherche/Simulations/Analysis/RESALI/Detection_data/",r,".csv"))
analyse[is.na(analyse)] <- ""
names(analyse)[names(analyse)=="dif.detect.1"] <- "dif_detect_1"
names(analyse)[names(analyse)=="dif.detect.2"] <- "dif_detect_2"
names(analyse)[names(analyse)=="dif.detect.3"] <- "dif_detect_3"
names(analyse)[names(analyse)=="dif.detect.4"] <- "dif_detect_4"
names(analyse)[names(analyse)=="dif.detect.unif.1"] <- "dif_detect_unif_1"
names(analyse)[names(analyse)=="dif.detect.unif.2"] <- "dif_detect_unif_2"
names(analyse)[names(analyse)=="dif.detect.unif.3"] <- "dif_detect_unif_3"
names(analyse)[names(analyse)=="dif.detect.unif.4"] <- "dif_detect_unif_4"
if (scen==3 | scen==4 | scen>=13) {
names(analyse)[names(analyse)=="dif.detect.5"] <- "dif_detect_5"
names(analyse)[names(analyse)=="dif.detect.6"] <- "dif_detect_6"
names(analyse)[names(analyse)=="dif.detect.7"] <- "dif_detect_7"
names(analyse)[names(analyse)=="dif.detect.unif.5"] <- "dif_detect_unif_5"
names(analyse)[names(analyse)=="dif.detect.unif.6"] <- "dif_detect_unif_6"
names(analyse)[names(analyse)=="dif.detect.unif.7"] <- "dif_detect_unif_7"
}
analyse <- analyse[,!names(analyse) %in% c("X","X.1","X.2")]
write.csv(analyse,paste0("/home/corentin/Documents/These/Recherche/Simulations/Analysis/RESALI/Detection_data/",r,".csv"))
}
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