diff --git a/Rproject/Rproject.Rproj b/Rproject/Rproject.Rproj
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+++ b/Rproject/Rproject.Rproj
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+Version: 1.0
+
+RestoreWorkspace: Default
+SaveWorkspace: Default
+AlwaysSaveHistory: Default
+
+EnableCodeIndexing: Yes
+UseSpacesForTab: Yes
+NumSpacesForTab: 2
+Encoding: UTF-8
+
+RnwWeave: knitr
+LaTeX: XeLaTeX
diff --git a/Rproject/analyse_rosali.R b/Rproject/analyse_rosali.R
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+++ b/Rproject/analyse_rosali.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), nchar(str))
+}
+
+
+
+##############################################################################
+#----------------------------------------------------------------------------#
+########################### AGGREGATION DIF MATRICES #########################
+#----------------------------------------------------------------------------#
+##############################################################################
+
+#### Create data.frame
+
+results <- c(sapply(c(2,4),function(x) paste0(x,c('A','B','C'))),sapply(8,function(x) paste0(x,c('A','B','C'))))
+
+results2 <- c(sapply(16,function(x) paste0(x,c('A','B','C'))))
+
+results <- c(sapply(c(50,300),function(x) paste0(results,'_',x)))
+
+results2 <- c(sapply(c(50,300),function(x) paste0(results2,'_',x)))
+
+results <- sort(results)
+
+results2 <- sort(results2)
+
+results <- c(results,results2)
+
+results <- c(sapply(c('noBF','noLRT','noLRT_noBF','original'),function(x) paste0(results,'_',x)))
+
+#### Compiler function
+
+compile_simulation2 <- function(scenario) {
+  name <- as.numeric(gsub("[^0-9.-]", "", substr(scenario,start=0,stop=2)))
+  if (substr(scenario,start=nchar(scenario)-5,stop=nchar(scenario))=="0_noBF") {
+    s <- read_excel(paste0('/home/corentin/Documents/These/Recherche/ROSALI-SIM/Analysis/noBF/',scenario,'.xls'))
+    s$version <- "noBF"
+  }
+  if (substr(scenario,start=nchar(scenario)-4,stop=nchar(scenario))=="noLRT") {
+    s <- read_excel(paste0('/home/corentin/Documents/These/Recherche/ROSALI-SIM/Analysis/noLRT/',scenario,'.xls'))
+    s$version <- "noLRT"
+  }
+  if (substr(scenario,start=nchar(scenario)-9,stop=nchar(scenario))=="noLRT_noBF") {
+    s <- read_excel(paste0('/home/corentin/Documents/These/Recherche/ROSALI-SIM/Analysis/noLRTnoBF/',scenario,'.xls'))
+    s$version <- "noLRT & noBF"
+  }
+  if (substr(scenario,start=nchar(scenario)-7,stop=nchar(scenario))=="original") {
+    s <- read_excel(paste0('/home/corentin/Documents/These/Recherche/ROSALI-SIM/Analysis/original/',scenario,'.xls'))
+    s$version <- "original"
+  }
+  name <- gsub("_", "", substr(scenario,start=0,stop=3))
+  if (as.numeric(gsub("[A,B,C]","",name))==2){
+    colnames(s) <- c("dif.detect.1","dif.detect.2","dif.detect.3","dif.detect.4",
+                     "N","J","nb.dif","version")
+    s$dif.detected <- sapply(1:1000,function(x) any(!is.na(s[x,1:4])))
+    s$prop.perfect <- NA
+    s$prop.flexible <- NA
+    s$prop.moreflexible <- NA
+  }
+  if (as.numeric(gsub("[A,B,C]","",name))==4){
+    colnames(s) <- c("dif.detect.1","dif.detect.2","dif.detect.3","dif.detect.4",
+                     "dif.detect.5","dif.detect.6","dif.detect.7","N","J","nb.dif","version")
+    s$dif.detected <- sapply(1:1000,function(x) any(!is.na(s[x,1:7])))
+    s$prop.perfect <- NA
+    s$prop.flexible <- NA
+    s$prop.moreflexible <- NA
+  }
+  if (as.numeric(gsub("[A,B,C]","",name))==8){
+    colnames(s) <- c("dif.detect.1","dif.detect.2","dif.detect.3","dif.detect.4","N","J","nb.dif","true.dif","version")
+    s$dif.detected <- sapply(1:1000,function(x) any(!is.na(s[x,1:4])))
+    s$perfect.detection <- sapply(1:1000,function(x) ifelse(sum(!is.na(s[x,1:4]))==1,s[x,which(sapply(1:4,function(y) !is.na(s[x,y])))]==s[x,"true.dif"],0)  )
+    s$prop.perfect <- mean(s$perfect.detection)
+    s$flexible.detect <- sapply(1:1000,function(x) ifelse(sum(!is.na(s[x,1:4]))!=0,s[x,"true.dif"]%in%s[x,which(sapply(1:4,function(y) !is.na(s[x,y])))],0)  )
+    s$prop.flexible <- mean(s$flexible.detect)
+    s$prop.moreflexible <- s$prop.flexible
+  }
+  if (as.numeric(gsub("[A,B,C]","",name))==16){
+    colnames(s) <- c("dif.detect.1","dif.detect.2","dif.detect.3","dif.detect.4",
+                     "dif.detect.5","dif.detect.6","dif.detect.7","N","J","nb.dif","true.dif.1","true.dif.2","version")
+    s$dif.detected <- sapply(1:1000,function(x) any(!is.na(s[x,1:7])))
+    perfect.detection <- sapply(1:1000,function(x) ifelse(sum(!is.na(s[x,1:7]))==2,s[x,which(sapply(1:7,function(y) !is.na(s[x,y])))[1]]%in%c(s[x,c("true.dif.1","true.dif.2")]) & s[x,which(sapply(1:7,function(y) !is.na(s[x,y])))[2]]%in%c(s[x,c("true.dif.1","true.dif.2")]) 
+                                                            ,0)  )
+    s$prop.perfect <- mean(perfect.detection)
+    s$flexible.detect <- sapply(1:1000,function(x) ifelse(sum(!is.na(s[x,1:7]))!=0,s[x,"true.dif.1"]%in%c(s[x,which(sapply(1:7,function(y) !is.na(s[x,y])))]) &
+                                                            s[x,"true.dif.2"]%in%c(s[x,which(sapply(1:7,function(y) !is.na(s[x,y])))]),0)  )
+    s$prop.flexible <- mean(s$flexible.detect)
+    s$moreflexible.detect <- sapply(1:1000,function(x) ifelse(sum(!is.na(s[x,1:7]))!=0,s[x,"true.dif.1"]%in%c(s[x,which(sapply(1:7,function(y) !is.na(s[x,y])))]) |
+                                                            s[x,"true.dif.2"]%in%c(s[x,which(sapply(1:7,function(y) !is.na(s[x,y])))]),0)  )
+    s$prop.moreflexible <- mean(s$moreflexible.detect)
+  }
+  d <- data.frame(scenario=name,
+                  version=unique(s$version),
+                  N=unique(s$N),
+                  J=unique(s$J),
+                  M=4,
+                  nb.dif=unique(s$nb.dif),
+                  prop.dif.detect=mean(s$dif.detected),
+                  prop.perfect=ifelse(substr(name,start=nchar(name),stop=nchar(name))!="D",unique(s$prop.perfect),NA),
+                  prop.flexible=ifelse(substr(name,start=nchar(name),stop=nchar(name))!="D",unique(s$prop.flexible),NA),
+                  prop.moreflexible=ifelse(substr(name,start=nchar(name),stop=nchar(name))!="D",unique(s$prop.moreflexible),NA)
+          )
+  return(d)
+}
+
+
+#### Compiled results
+
+results <- results[-c(21,23,93,95)]
+
+res.dat.dif <- compile_simulation2("2A_300_noBF")
+
+for (x in results[seq(2,length(results))]) {
+  y <- compile_simulation2(x)
+  res.dat.dif <- bind_rows(res.dat.dif,y)
+}
+
+res.dat.dif
+
+
+##############################################################################
+#----------------------------------------------------------------------------#
+############################### PLOTS OF RESULTS #############################
+#----------------------------------------------------------------------------#
+##############################################################################
+
+# False positives
+
+plot.dat <- res.dat.dif[res.dat.dif$J==4 & res.dat.dif$M==4 & res.dat.dif$nb.dif==0 & res.dat.dif$version=="original",]
+boxplot(plot.dat$prop.dif.detect~plot.dat$N,ylim=c(0,0.05))