RESALI script ready
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@ -16,7 +16,7 @@ results <- c(results,results2)
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## Importer l'analyse resali pour chaque scenario
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for (r in results[21:length(results)]) {
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for (r in results) {
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cat('--------------------------------------------------------------------------\n')
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cat(paste0(r,"\n"))
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cat('--------------------------------------------------------------------------\n')
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@ -82,3 +82,67 @@ for (r in results[21:length(results)]) {
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}
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write.csv(datt,paste0("/home/corentin/Documents/These/Recherche/Simulations/Analysis/RESALI/Detection_data/",r,".csv"))
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}
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for (r in results) {
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cat('--------------------------------------------------------------------------\n')
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cat(paste0(r,"\n"))
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cat('--------------------------------------------------------------------------\n')
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#### Importer les datas
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scen <- as.numeric(gsub("[A,B,C,D,E,F,G,_]","",substr(r,0,3)))
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if (substr(r,start=nchar(r)-1,stop=nchar(r))=="50") {
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N <- 50
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}
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if (substr(r,start=nchar(r)-2,stop=nchar(r))=="100") {
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N <- 100
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}
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if (substr(r,start=nchar(r)-2,stop=nchar(r))=="200") {
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N <- 200
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}
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if (substr(r,start=nchar(r)-2,stop=nchar(r))=="300") {
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N <- 300
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}
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#### Importer l'analyse
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analyse <- read.csv(paste0("/home/corentin/Documents/These/Recherche/Simulations/Analysis/RESALI/Detection_data/",r,".csv"))
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analyse[is.na(analyse)] <- ""
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names(analyse)[names(analyse)=="dif.detect.1"] <- "dif_detect_1"
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names(analyse)[names(analyse)=="dif.detect.2"] <- "dif_detect_2"
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names(analyse)[names(analyse)=="dif.detect.3"] <- "dif_detect_3"
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names(analyse)[names(analyse)=="dif.detect.4"] <- "dif_detect_4"
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names(analyse)[names(analyse)=="dif.detect.unif.1"] <- "dif_detect_unif_1"
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names(analyse)[names(analyse)=="dif.detect.unif.2"] <- "dif_detect_unif_2"
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names(analyse)[names(analyse)=="dif.detect.unif.3"] <- "dif_detect_unif_3"
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names(analyse)[names(analyse)=="dif.detect.unif.4"] <- "dif_detect_unif_4"
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analyse[analyse$dif_detect_1==999,"dif_detect_1"] <- ""
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analyse[analyse$dif_detect_2==999,"dif_detect_2"] <- ""
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analyse[analyse$dif_detect_3==999,"dif_detect_3"] <- ""
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analyse[analyse$dif_detect_4==999,"dif_detect_4"] <- ""
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analyse[analyse$dif_detect_unif_1==999,"dif_detect_unif_1"] <- ""
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analyse[analyse$dif_detect_unif_2==999,"dif_detect_unif_2"] <- ""
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analyse[analyse$dif_detect_unif_3==999,"dif_detect_unif_3"] <- ""
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analyse[analyse$dif_detect_unif_4==999,"dif_detect_unif_4"] <- ""
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if (scen==3 | scen==4 | scen>=13) {
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names(analyse)[names(analyse)=="dif.detect.5"] <- "dif_detect_5"
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names(analyse)[names(analyse)=="dif.detect.6"] <- "dif_detect_6"
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names(analyse)[names(analyse)=="dif.detect.7"] <- "dif_detect_7"
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names(analyse)[names(analyse)=="dif.detect.unif.5"] <- "dif_detect_unif_5"
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names(analyse)[names(analyse)=="dif.detect.unif.6"] <- "dif_detect_unif_6"
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names(analyse)[names(analyse)=="dif.detect.unif.7"] <- "dif_detect_unif_7"
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analyse[analyse$dif_detect_5==999,"dif_detect_5"] <- ""
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analyse[analyse$dif_detect_6==999,"dif_detect_6"] <- ""
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analyse[analyse$dif_detect_7==999,"dif_detect_7"] <- ""
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analyse[analyse$dif_detect_unif_5==999,"dif_detect_unif_5"] <- ""
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analyse[analyse$dif_detect_unif_6==999,"dif_detect_unif_6"] <- ""
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analyse[analyse$dif_detect_unif_7==999,"dif_detect_unif_7"] <- ""
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}
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analyse <- analyse[,!names(analyse) %in% c("X","X.1","X.2")]
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write.csv(analyse,paste0("/home/corentin/Documents/These/Recherche/Simulations/Analysis/RESALI/Detection_data/",r,".csv"))
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}
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@ -24,7 +24,7 @@ local N = "50 100 200 300"
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}
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foreach scen in `scenarios' {
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clear
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import delim "`path_data'/scenario_`s'`scen'_`Nn'.csv", encoding(ISO-8859-2) case(preserve) clear
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import delim "`path_data'/`s'`scen'_`Nn'.csv", encoding(ISO-8859-2) case(preserve) clear
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rename TT tt
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if (`s'<=2) {
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@ -61,6 +61,9 @@ local N = "50 100 200 300"
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}
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* taillemat = Maximum J*M cases pour les items par et J*M cases pour les dif par + J cases pour les DIF detect + nbdif cases pour dif réel
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local taillemat=2*`nbitems'*`nbmoda'+`nbitems'+`nbdif'+2
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if (mod(`s',2)==0) {
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local taillemat=2*`nbitems'*`nbmoda'+`nbitems'+`nbitems'+`nbdif'+2
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}
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local colna=""
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forvalues i=1/`nbitems' {
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forvalues z=1/`nbmoda' {
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@ -69,15 +72,18 @@ local N = "50 100 200 300"
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}
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}
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forvalues i=1/`nbitems' {
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local colna = "`colna'"+"dif_detect_`i' "
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if (mod(`s',2)==1) {
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local colna = "`colna'"+"dif_detect_`i' "
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}
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if (mod(`s',2)==0) {
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local colna = "`colna'"+"dif_detect_`i' "+"dif_detect_unif_`i' "
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}
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}
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forvalues i=1/`nbdif' {
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local colna = "`colna'"+"real_dif_`i' "
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}
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local colna = "`colna'" + "beta " + "se_beta"
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mat outmat = J(1000,`taillemat',.)
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mat colnames outmat= `colna'
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di "Scenario `s'`scen' / N=`Nnn'"
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@ -213,7 +219,7 @@ local N = "50 100 200 300"
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local checker2: word 2 of `val'
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local checker3: word 3 of `val'
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local nummoda=r(r)
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local nbmoda_`j'=`nummoda'
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local nbmoda_`j'=`nummoda'-1
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if (`nummoda'==2) {
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qui recode item`j' (`checker'=0) (`checker2'=1)
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}
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@ -239,46 +245,45 @@ local N = "50 100 200 300"
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local nbmoda_`jj'=`nbmoda'
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}
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}
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* ROSALI
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qui rosali_original item1-item`nbitems' item1-item`nbitems', group(tt)
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qui mat resmat=r(difitems)
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local nbitems2 = 2*`nbitems'
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* Calculer le nbre d'items détectés
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local nbdetect = 0
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local stop = 0
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forvalues jj=1/`nbitems' {
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qui levelsof dif_detect_`jj'
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local detected=r(levels)
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if (`stop'==0) {
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mat testm=J(1,1,.)
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if (resmat[1,`jj']==testm[1,1]) {
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if (`detected'==testm[1,1]) {
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local stop = 1
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local nbdetect = `jj'-1
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}
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}
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}
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* Stocker les items détectés +
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* Définition des contraintes
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local csrt=0
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mat testm=J(1,1,0)
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forvalues u=1/`nbdetect' {
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local difitems`u'=resmat[1,`u']
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qui levelsof dif_detect_`u'
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local detected=r(levels)
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local difitems`u'=`detected'
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local i=`difitems`u''
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if (`nbmoda_`i''==3 & resmat[1,`nbitems'+`i']!=testm[1,1]){
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qui levelsof dif_detect_unif_`u'
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local detected_unif=r(levels)
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if (`nbmoda_`i''==3 & `detected_unif'!=testm[1,1]){
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local constrnt`u' = "constraint `u' 2*([1.item`i']_cons-([1.item`i']_cons+[1.item`i'] tt))=([2.item`i']_cons-([2.item`i']_cons+[2.item`i'] tt))"
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qui `constrnt`u''
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local v=`u'+100
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local constrnt`u'_2 = "constraint `v' 3*([1.item`i']_cons-([1.item`i']_cons+[1.item`i'] tt))=([3.item`i']_cons-([3.item`i']_cons+[3.item`i'] tt))"
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qui `constrnt`u'_2'
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}
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if (`nbmoda_`i''==2 & resmat[1,`nbitems'+`i']!=testm[1,1]){
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if (`nbmoda_`i''==2 & `detected_unif'!=testm[1,1]){
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local constrnt`u' = "constraint `u' 2*([1.item`i']_cons-([1.item`i']_cons+[1.item`i'] tt))=([2.item`i']_cons-([2.item`i']_cons+[2.item`i'] tt))"
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qui `constrnt`u''
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}
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}
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* Définition du modèle
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local mod "gsem "
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local conformula = ""
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@ -301,10 +306,13 @@ local N = "50 100 200 300"
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local mod = "`mod'"+"(2.item`v'<-THETA@2 tt)"
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}
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local w= 100+`u'
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if (resmat[1,`nbitems'+`v']!=testm[1,1] & `nbmoda_`v''==3) {
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qui levelsof dif_detect_unif_`u'
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local detected=r(levels)
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local unif_`u'=r(levels)
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if (`detected'!=testm[1,1] & `nbmoda_`v''==3) {
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local conformula = "`conformula'" + "`u' " + "`w' "
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}
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else if (resmat[1,`nbitems'+`v']!=testm[1,1] & `nbmoda_`v''==2) {
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else if (`detected'!=testm[1,1] & `nbmoda_`v''==2) {
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local conformula = "`conformula'" + "`u' "
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}
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}
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@ -325,15 +333,18 @@ local N = "50 100 200 300"
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mat outmat[`k',colnumb(outmat,"item`j'_`z'")] = W[1,colnumb(W,"`z'.item`j':_cons")]
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}
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}
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* compilation DIF
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forvalues u=1/`nbdetect' {
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local j=`difitems`u''
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forvalues z=1/`nbmoda_`j'' {
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mat outmat[`k',colnumb(outmat,"dif_`u'_`z'")] = W[1,colnumb(W,"`z'.item`j':tt")]
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mat outmat[`k',colnumb(outmat,"dif_detect_`u'")] = `j'
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}
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mat outmat[`k',colnumb(outmat,"dif_detect_`u'")] = `j'
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if (mod(`s',2)==0) {
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mat outmat[`k',colnumb(outmat,"dif_detect_unif_`u'")] = `unif_`j''
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}
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}
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* Stocker les items de DIF originaux
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if (`nbdif' > 0) {
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qui levelsof dif1
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