misc. adjustments

RProject/dif.R

@@ -1,4 +1,4 @@
-library(mirt)
+library(TAM)
 
 pcm_analysis <- function(df=NULL,treatment='TT',irtmodel='PCM2',method='MML') {
   nbitems <- sum(sapply(1:20,function(x) paste0('item',x)) %in% colnames(df))
@@ -15,13 +15,13 @@ pcm_analysis <- function(df=NULL,treatment='TT',irtmodel='PCM2',method='MML') {
   return(tam1)
 }
 
-dff <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N50/scenario_5A_50.csv')
+dff <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N100/scenario_5A_100.csv')
 dfff <- dff[dff$replication==1,]
 facets <- dfff$TT
-dfff$item2_noTT <- NA
-dfff$item2_TT <- NA
-dfff[dfff$TT==0,]$item2_noTT <- dfff[dfff$TT==0,"item2"]
-dfff[dfff$TT==1,]$item2_TT <- dfff[dfff$TT==1,"item2"]
+dfff$item4_noTT <- NA
+dfff$item4_TT <- NA
+dfff[dfff$TT==0,]$item4_noTT <- dfff[dfff$TT==0,"item4"]
+dfff[dfff$TT==1,]$item4_TT <- dfff[dfff$TT==1,"item4"]
 
-mml.mod <- tam.mml(resp=dfff[,c('item1','item2_noTT','item2_TT',"item3","item4")],Y=dfff$TT,constraint='cases'
+mml.mod <- tam.mml(resp=dfff[,c('item1','item2',"item3","item4_noTT",'item4_TT')],Y=dfff$TT,constraint='cases'
                      ,irtmodel = "PCM2",est.variance = T,verbose=F)