From e3f0637db3f7b15ba08f7cd95e5556b6cf246b3a Mon Sep 17 00:00:00 2001 From: corentinchoisy Date: Tue, 27 Feb 2024 16:06:13 +0100 Subject: [PATCH] R code for PCM analysis with n=50 --- RProject/Scripts/pcm.R | 441 +++++++++++- Scripts/Analysis/DIF/temp/temp.do | 1096 +++++++++++++++++++++-------- 2 files changed, 1222 insertions(+), 315 deletions(-) diff --git a/RProject/Scripts/pcm.R b/RProject/Scripts/pcm.R index 0b50161..2c5deb5 100644 --- a/RProject/Scripts/pcm.R +++ b/RProject/Scripts/pcm.R @@ -2048,6 +2048,424 @@ write.csv(res_nodif[[1]],'/home/corentin/Documents/These/Recherche/Simulations/A 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/NoDIF/N50/scenario_5A_50.csv') +dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_5B_50.csv') +dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_5C_50.csv') +dat4 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_5D_50.csv') +dat5 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_5E_50.csv') +dat6 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_5F_50.csv') +dat7 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_5G_50.csv') + +res_nodif <- 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/NoDIF/N50/scenario_5A_50.csv') +write.csv(res[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_5B_50.csv') +write.csv(res[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_5C_50.csv') +write.csv(res[[4]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_5D_50.csv') +write.csv(res[[5]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_5E_50.csv') +write.csv(res[[6]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_5F_50.csv') +write.csv(res[[7]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_5G_50.csv') + +###################################### Scenario 6 + + +dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_6A_50.csv') +dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_6B_50.csv') +dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_6C_50.csv') +dat4 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_6D_50.csv') +dat5 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_6E_50.csv') +dat6 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_6F_50.csv') +dat7 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_6G_50.csv') + +res_nodif <- 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/NoDIF/N50/scenario_6A_50.csv') +write.csv(res[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_6B_50.csv') +write.csv(res[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_6C_50.csv') +write.csv(res[[4]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_6D_50.csv') +write.csv(res[[5]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_6E_50.csv') +write.csv(res[[6]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_6F_50.csv') +write.csv(res[[7]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_6G_50.csv') + +###################################### Scenario 7 + + +dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_7A_50.csv') +dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_7B_50.csv') +dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_7C_50.csv') +dat4 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_7D_50.csv') +dat5 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_7E_50.csv') +dat6 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_7F_50.csv') +dat7 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_7G_50.csv') + +res_nodif <- 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/NoDIF/N50/scenario_7A_50.csv') +write.csv(res[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_7B_50.csv') +write.csv(res[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_7C_50.csv') +write.csv(res[[4]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_7D_50.csv') +write.csv(res[[5]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_7E_50.csv') +write.csv(res[[6]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_7F_50.csv') +write.csv(res[[7]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_7G_50.csv') + +###################################### Scenario 8 + + +dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_8A_50.csv') +dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_8B_50.csv') +dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_8C_50.csv') +dat4 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_8D_50.csv') +dat5 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_8E_50.csv') +dat6 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_8F_50.csv') +dat7 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_8G_50.csv') + +res_nodif <- 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/NoDIF/N50/scenario_8A_50.csv') +write.csv(res[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_8B_50.csv') +write.csv(res[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_8C_50.csv') +write.csv(res[[4]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_8D_50.csv') +write.csv(res[[5]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_8E_50.csv') +write.csv(res[[6]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_8F_50.csv') +write.csv(res[[7]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_8G_50.csv') + + +###################################### Scenario 9 + + +dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_9A_50.csv') +dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_9B_50.csv') +dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_9C_50.csv') +dat4 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_9D_50.csv') +dat5 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_9E_50.csv') +dat6 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_9F_50.csv') +dat7 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_9G_50.csv') + +res_nodif <- 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/NoDIF/N50/scenario_9A_50.csv') +write.csv(res[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_9B_50.csv') +write.csv(res[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_9C_50.csv') +write.csv(res[[4]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_9D_50.csv') +write.csv(res[[5]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_9E_50.csv') +write.csv(res[[6]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_9F_50.csv') +write.csv(res[[7]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_9G_50.csv') + +###################################### Scenario 10 + + +dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_10A_50.csv') +dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_10B_50.csv') +dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_10C_50.csv') +dat4 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_10D_50.csv') +dat5 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_10E_50.csv') +dat6 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_10F_50.csv') +dat7 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_10G_50.csv') + +res_nodif <- 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/NoDIF/N50/scenario_10A_50.csv') +write.csv(res[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_10B_50.csv') +write.csv(res[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_10C_50.csv') +write.csv(res[[4]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_10D_50.csv') +write.csv(res[[5]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_10E_50.csv') +write.csv(res[[6]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_10F_50.csv') +write.csv(res[[7]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_10G_50.csv') + +###################################### Scenario 11 + + +dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_11A_50.csv') +dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_11B_50.csv') +dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_11C_50.csv') +dat4 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_11D_50.csv') +dat5 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_11E_50.csv') +dat6 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_11F_50.csv') +dat7 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_11G_50.csv') + +res_nodif <- 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/NoDIF/N50/scenario_11A_50.csv') +write.csv(res[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_11B_50.csv') +write.csv(res[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_11C_50.csv') +write.csv(res[[4]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_11D_50.csv') +write.csv(res[[5]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_11E_50.csv') +write.csv(res[[6]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_11F_50.csv') +write.csv(res[[7]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_11G_50.csv') + +###################################### Scenario 12 + + +dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_12A_50.csv') +dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_12B_50.csv') +dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_12C_50.csv') +dat4 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_12D_50.csv') +dat5 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_12E_50.csv') +dat6 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_12F_50.csv') +dat7 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_12G_50.csv') + +res_nodif <- 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/NoDIF/N50/scenario_12A_50.csv') +write.csv(res[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_12B_50.csv') +write.csv(res[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_12C_50.csv') +write.csv(res[[4]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_12D_50.csv') +write.csv(res[[5]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_12E_50.csv') +write.csv(res[[6]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_12F_50.csv') +write.csv(res[[7]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_12G_50.csv') + + +###################################### Scenario 13 + + +dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_13A_50.csv') +dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_13B_50.csv') +dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_13C_50.csv') +dat4 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_13D_50.csv') +dat5 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_13E_50.csv') +dat6 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_13F_50.csv') +dat7 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_13G_50.csv') + +res_nodif <- 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/NoDIF/N50/scenario_13A_50.csv') +write.csv(res[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_13B_50.csv') +write.csv(res[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_13C_50.csv') +write.csv(res[[4]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_13D_50.csv') +write.csv(res[[5]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_13E_50.csv') +write.csv(res[[6]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_13F_50.csv') +write.csv(res[[7]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_13G_50.csv') + +###################################### Scenario 14 + + +dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_14A_50.csv') +dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_14B_50.csv') +dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_14C_50.csv') +dat4 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_14D_50.csv') +dat5 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_14E_50.csv') +dat6 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_14F_50.csv') +dat7 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_14G_50.csv') + +res_nodif <- 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/NoDIF/N50/scenario_14A_50.csv') +write.csv(res[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_14B_50.csv') +write.csv(res[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_14C_50.csv') +write.csv(res[[4]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_14D_50.csv') +write.csv(res[[5]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_14E_50.csv') +write.csv(res[[6]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_14F_50.csv') +write.csv(res[[7]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_14G_50.csv') + +###################################### Scenario 15 + + +dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_15A_50.csv') +dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_15B_50.csv') +dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_15C_50.csv') +dat4 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_15D_50.csv') +dat5 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_15E_50.csv') +dat6 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_15F_50.csv') +dat7 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_15G_50.csv') + +res_nodif <- 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/NoDIF/N50/scenario_15A_50.csv') +write.csv(res[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_15B_50.csv') +write.csv(res[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_15C_50.csv') +write.csv(res[[4]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_15D_50.csv') +write.csv(res[[5]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_15E_50.csv') +write.csv(res[[6]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_15F_50.csv') +write.csv(res[[7]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_15G_50.csv') + +###################################### Scenario 16 + + +dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_16A_50.csv') +dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_16B_50.csv') +dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_16C_50.csv') +dat4 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_16D_50.csv') +dat5 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_16E_50.csv') +dat6 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_16F_50.csv') +dat7 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_16G_50.csv') + +res_nodif <- 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/NoDIF/N50/scenario_16A_50.csv') +write.csv(res[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_16B_50.csv') +write.csv(res[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_16C_50.csv') +write.csv(res[[4]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_16D_50.csv') +write.csv(res[[5]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_16E_50.csv') +write.csv(res[[6]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_16F_50.csv') +write.csv(res[[7]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_16G_50.csv') + +###################################### Scenario 17 + + +dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_17A_50.csv') +dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_17B_50.csv') +dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_17C_50.csv') +dat4 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_17D_50.csv') +dat5 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_17E_50.csv') +dat6 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_17F_50.csv') +dat7 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_17G_50.csv') + +res_nodif <- 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/NoDIF/N50/scenario_17A_50.csv') +write.csv(res[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_17B_50.csv') +write.csv(res[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_17C_50.csv') +write.csv(res[[4]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_17D_50.csv') +write.csv(res[[5]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_17E_50.csv') +write.csv(res[[6]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_17F_50.csv') +write.csv(res[[7]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_17G_50.csv') + +###################################### Scenario 18 + + +dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_18A_50.csv') +dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_18B_50.csv') +dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_18C_50.csv') +dat4 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_18D_50.csv') +dat5 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_18E_50.csv') +dat6 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_18F_50.csv') +dat7 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_18G_50.csv') + +res_nodif <- 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/NoDIF/N50/scenario_18A_50.csv') +write.csv(res[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_18B_50.csv') +write.csv(res[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_18C_50.csv') +write.csv(res[[4]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_18D_50.csv') +write.csv(res[[5]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_18E_50.csv') +write.csv(res[[6]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_18F_50.csv') +write.csv(res[[7]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_18G_50.csv') + +###################################### Scenario 19 + + +dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_19A_50.csv') +dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_19B_50.csv') +dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_19C_50.csv') +dat4 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_19D_50.csv') +dat5 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_19E_50.csv') +dat6 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_19F_50.csv') +dat7 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_19G_50.csv') + +res_nodif <- 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/NoDIF/N50/scenario_19A_50.csv') +write.csv(res[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_19B_50.csv') +write.csv(res[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_19C_50.csv') +write.csv(res[[4]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_19D_50.csv') +write.csv(res[[5]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_19E_50.csv') +write.csv(res[[6]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_19F_50.csv') +write.csv(res[[7]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_19G_50.csv') + +###################################### Scenario 20 + + +dat1 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_20A_50.csv') +dat2 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_20B_50.csv') +dat3 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_20C_50.csv') +dat4 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_20D_50.csv') +dat5 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_20E_50.csv') +dat6 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_20F_50.csv') +dat7 <- read.csv(file = '/home/corentin/Documents/These/Recherche/Simulations/Data/NoDIF/N50/scenario_20G_50.csv') + +res_nodif <- 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/NoDIF/N50/scenario_20A_50.csv') +write.csv(res[[2]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_20B_50.csv') +write.csv(res[[3]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_20C_50.csv') +write.csv(res[[4]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_20D_50.csv') +write.csv(res[[5]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_20E_50.csv') +write.csv(res[[6]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_20F_50.csv') +write.csv(res[[7]],'/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_20G_50.csv') ############################################################################## #----------------------------------------------------------------------------# @@ -2061,9 +2479,9 @@ results <- c(sapply(1:4,function(x) paste0(x,c('A','B','C','D','E'))),sapply(5:9 results2 <- c(sapply(10:20,function(x) paste0(x,c('A','B','C','D','E','F','G')))) -results <- c(sapply(c(100,200,300),function(x) paste0(results,'_',x))) +results <- c(sapply(c(50,100,200,300),function(x) paste0(results,'_',x))) -results2 <- c(sapply(c(100,200,300),function(x) paste0(results2,'_',x))) +results2 <- c(sapply(c(50,100,200,300),function(x) paste0(results2,'_',x))) results <- sort(results) @@ -2075,6 +2493,12 @@ results <- c(results,results2) compile_simulation <- function(scenario) { name <- as.numeric(gsub("[^0-9.-]", "", substr(scenario,start=0,stop=2))) + if (substr(scenario,start=nchar(scenario)-2,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))=="50" & name>4) { + s <- read.csv(paste0('/home/corentin/Documents/These/Recherche/Simulations/Analysis/NoDIF/N50/scenario_',scenario,'_nodif.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')) } @@ -2152,8 +2576,8 @@ for (x in results[seq(2,length(results))]) { } 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[132:300,'nb.dif'] <- 2 -res.dat[300:396,'nb.dif'] <- 3 +res.dat[193:417,'nb.dif'] <- 2 +res.dat[417:528,'nb.dif'] <- 3 View(res.dat) res.dat.simple <- res.dat[,c(1:8,13,16:18)] @@ -2172,21 +2596,24 @@ results <- c(sapply(1:4,function(x) paste0(x,c('A','B','C','D','E'))),sapply(5:9 results2 <- c(sapply(10:20,function(x) paste0(x,c('A','B','C','D','E','F','G')))) -results <- c(sapply(c(100,200,300),function(x) paste0(results,'_',x))) +results <- c(sapply(c(50,100,200,300),function(x) paste0(results,'_',x))) -results2 <- c(sapply(c(100,200,300),function(x) paste0(results2,'_',x))) +results2 <- c(sapply(c(50,100,200,300),function(x) paste0(results2,'_',x))) results <- sort(results) results2 <- sort(results2) -results <- c(results,results2)[61:396] +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)-2,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')) } diff --git a/Scripts/Analysis/DIF/temp/temp.do b/Scripts/Analysis/DIF/temp/temp.do index 3852aa0..79fa1ec 100644 --- a/Scripts/Analysis/DIF/temp/temp.do +++ b/Scripts/Analysis/DIF/temp/temp.do @@ -1,3 +1,26 @@ +*================================================================================================================================= +* Date : 2024-01-23 +* Stata version : Stata 18 SE +* +* This program analyses simulated data accounting for DIF through a partial credit model +* +* ado-files needed : - pcm (version 5.5 October 25, 2023, available on gitea) +* +* outputs : for N=100 +* +* +*================================================================================================================================================ + +* Load pcm.ado +adopath+"/home/corentin/Documents/These/Recherche/Simulations/Modules/" + +*========================== +* Scenarios with : J=4 +*========================== + +*************************************************** Scenarios with DIF on 1 item + +************************************************** Scenario 5: J = 4 items / M = 2 modalities / DIF size 0.3 local N = "50" foreach Nnn in `N' { local Nn = `Nnn' @@ -6,413 +29,870 @@ local path_res = "/home/corentin/Documents/These/Recherche/Simulations/Analysis/ local scenarios = "A B C D E F G" foreach scen in `scenarios' { clear -import delim "`path_data'/scenario_20`scen'_`Nn'.csv", encoding(ISO-8859-2) case(preserve) clear +import delim "`path_data'/scenario_5`scen'_`Nn'.csv", encoding(ISO-8859-2) case(preserve) clear rename TT tt * Matrice de taille 1000 * 4 items + 1 DIF + beta + std beta + 1 dif -local nbitems = 7 -local nbdif = 3 -local taillemat = 3*`nbitems'+9+2+`nbdif' +local nbitems = 4 +local nbdif = 1 +local taillemat = `nbitems'+`nbdif'+3 mat outmat = J(1000,`taillemat',.) -mat colnames outmat = "item1_1" "item1_2" "item1_3" "item2_1" "item2_2" "item2_3" "item3_1" "item3_2" "item3_3" "item4_1" "item4_2" "item4_3" "item5_1" "item5_2" "item5_3" "item6_1" "item6_2" "item6_3" "item7_1" "item7_2" "item7_3" "dif1_1" "dif1_2" "dif1_3" "dif2_1" "dif2_2" "dif2_3" "dif3_1" "dif3_2" "dif3_3" "beta" "se_beta" "dif_item_1" "dif_item_2" "dif_item_3" -di "Scenario 20`scen' / N=`Nnn'" +mat colnames outmat = "item1" "item2" "item3" "item4" "dif1" "beta" "se_beta" "dif_item_1" +di "Scenario 5`scen' / N=`Nnn'" forvalues k=1/1000 { if (mod(`k',100)==0) { di "`k'/1000" } preserve qui keep if replication==`k' + local difitems1=dif1 + local mod "gsem " + forvalues i=1/`nbitems' { + if (`i'==`difitems1') { + local mod = "`mod'"+"(1.item`i'<-THETA@1 tt)" + } + else { + local mod = "`mod'"+"(1.item`i'<-THETA@1)" + } + } + local mod = "`mod'" + "(THETA<-tt), mlogit tol(0.01) iterate(500) latent(THETA) nocapslatent" + qui `mod' + mat V=r(table) + mat W=V[1..2,1...] + forvalues j=1/`nbitems' { + if (`j'<`difitems1') { + mat outmat[`k',`j'] = W[1,3*`j'] // items avant le premier dif + } + else { + mat outmat[`k',`j'] = W[1,1+3*`j'] // items après le premier dif + } + } + mat outmat[`k',`nbitems'+1] = W[1,3*`difitems1'-1] // coef de dif + mat outmat[`k',`nbitems'+2] = W[1,3*`nbitems'+2] // beta + mat outmat[`k',`nbitems'+3] = W[2,3*`nbitems'+2] // se beta + mat outmat[`k',`nbitems'+4] = `difitems1' // numéro item de dif + restore +} +putexcel set "`path_res'/out/5`scen'_`Nn'.xls", sheet("outmat") replace +putexcel A1=matrix(outmat), colnames +} +} -* MERGE des modalités si non représentées - local com_z = 0 - qui gen comz = 0 - forvalues j = 1 / `nbitems' { - local recoda_`j' = 0 - qui tab item`j' if tt == 0, matrow(rect1_g0_`j') matcell(nbrt1_g0_`j') - local maxm`j'_t1_g0 = rect1_g0_`j'[r(r),1] - local minm`j'_t1_g0 = rect1_g0_`j'[1,1] - - qui tab item`j' if tt == 1, matrow(rect1_g1_`j') matcell(nbrt1_g1_`j') - local minm`j'_t1_g1 = rect1_g1_`j'[1,1] - local maxm`j'_t1_g1 = rect1_g1_`j'[r(r),1] - - local minm_`j' = min(`minm`j'_t1_g0',`minm`j'_t1_g1') - local maxm_`j' = max(`maxm`j'_t1_g0',`maxm`j'_t1_g1') - local nbm_`j' = `=`maxm_`j''-`minm_`j''' - - if `minm_`j'' != 0 & `com_z' == 0 { - local com_z = 1 +************************************************** Scenario 6: J = 4 items / M = 4 modalities / DIF size 0.3 +local N = "50" +foreach Nnn in `N' { +local Nn = `Nnn' +local path_data = "/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N`Nn'" +local path_res = "/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N`Nn'" +local scenarios = "A B C D E F G" +foreach scen in `scenarios' { +clear +import delim "`path_data'/scenario_6`scen'_`Nn'.csv", encoding(ISO-8859-2) case(preserve) clear +rename TT tt + +* Matrice de taille 1000 * 4 items + 1 DIF + beta + std beta + 1 dif +local nbitems = 4 +local nbdif = 1 +local taillemat = 3*`nbitems'+`nbdif'+3+2 +mat outmat = J(1000,`taillemat',.) +mat colnames outmat = "item1_1" "item1_2" "item1_3" "item2_1" "item2_2" "item2_3" "item3_1" "item3_2" "item3_3" "item4_1" "item4_2" "item4_3" "dif1_1" "dif1_2" "dif1_3" "beta" "se_beta" "dif_item_1" +di "Scenario 6`scen' / N=`Nnn'" +forvalues k=1/1000 { +if (mod(`k',100)==0) { + di "`k'/1000" +} +preserve +qui keep if replication==`k' +local difitems1=dif1 +forvalues i=1/`nbitems' { + if (`i'==`difitems1') { + local constrnt = "constraint 1 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))" + local constrnt2 = "constraint 2 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))" + } +} +local mod "gsem " +forvalues i=1/`nbitems' { + if (`i'==`difitems1') { + local mod = "`mod'"+"(1.item`i'<-THETA@1 tt)(2.item`i'<-THETA@2 tt)(3.item`i'<-THETA@3 tt)" + } + else { + local mod = "`mod'"+"(1.item`i'<-THETA@1)(2.item`i'<-THETA@2)(3.item`i'<-THETA@3)" + } +} +local mod = "`mod'" + "(THETA<-tt), mlogit tol(0.01) iterate(500) latent(THETA) nocapslatent constraint(1 2)" +qui `constrnt' +qui `constrnt2' +qui `mod' +mat V=r(table) +mat W=V[1..2,1...] +forvalues j=1/`nbitems' { +if (`j'<`difitems1') { + mat outmat[`k',3*`j'-2] = W[1,7*(`j'-1)+3] // items avant le premier dif + mat outmat[`k',3*`j'-1] = W[1,7*(`j'-1)+5] // items avant le premier dif + mat outmat[`k',3*`j'] = W[1,7*(`j'-1)+7] // items avant le premier dif } - qui count if item`j' == 3 & tt == 0 - local mod3plac = r(N) - qui count if item`j' == 3 & tt == 1 - local mod3tt = r(N) - local nb_rn3 = min(`mod3plac',`mod3tt') - if `nb_rn3'==0 { - qui replace comz = 1 +else if (`j'==`difitems1') { + mat outmat[`k',3*`j'-2] = W[1,7*(`j'-1)+4] // items du le premier dif + mat outmat[`k',3*`j'-1] = W[1,7*(`j'-1)+7] // items du le premier dif + mat outmat[`k',3*`j'] = W[1,7*(`j'-1)+10] // items du le premier dif } + } +else { + mat outmat[`k',3*`j'-2] = W[1,7*(`j'-1)+6] // items avant le premier dif + mat outmat[`k',3*`j'-1] = W[1,7*(`j'-1)+8] // items avant le premier dif + mat outmat[`k',3*`j'] = W[1,7*(`j'-1)+10] // items avant le premier dif + } +} + mat outmat[`k',3*`nbitems'+1] = W[1,7*(`difitems1'-1)+2] // coef de dif + mat outmat[`k',3*`nbitems'+2] = W[1,7*(`difitems1'-1)+5] // coef de dif + mat outmat[`k',3*`nbitems'+3] = W[1,7*(`difitems1'-1)+8] // coef de dif + mat outmat[`k',3*`nbitems'+4] = W[1,7*`nbitems'+4] // beta + mat outmat[`k',3*`nbitems'+5] = W[2,7*`nbitems'+4] // se beta + mat outmat[`k',3*`nbitems'+6] = `difitems1' // numéro item de dif + restore +} +putexcel set "`path_res'/out/6`scen'_`Nn'.xls", sheet("outmat") replace +putexcel A1=matrix(outmat), colnames +} +} + + +************************************************** Scenario 7: J = 4 items / M = 2 modalities / DIF size 0.5 +local N = "50" +foreach Nnn in `N' { +local Nn = `Nnn' +local path_data = "/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N`Nn'" +local path_res = "/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N`Nn'" +local scenarios = "A B C D E F G" +foreach scen in `scenarios' { +clear +import delim "`path_data'/scenario_7`scen'_`Nn'.csv", encoding(ISO-8859-2) case(preserve) clear +rename TT tt + +* Matrice de taille 1000 * 4 items + 1 DIF + beta + std beta + 1 dif +local nbitems = 4 +local nbdif = 1 +local taillemat = `nbitems'+`nbdif'+3 +mat outmat = J(1000,`taillemat',.) +mat colnames outmat = "item1" "item2" "item3" "item4" "dif1" "beta" "se_beta" "dif_item_1" +di "Scenario 7`scen' / N=`Nnn'" +forvalues k=1/1000 { + if (mod(`k',100)==0) { + di "`k'/1000" + } + preserve + qui keep if replication==`k' + local difitems1=dif1 + local mod "gsem " + forvalues i=1/`nbitems' { + if (`i'==`difitems1') { + local mod = "`mod'"+"(1.item`i'<-THETA@1 tt)" } + else { + local mod = "`mod'"+"(1.item`i'<-THETA@1)" + } + } + local mod = "`mod'" + "(THETA<-tt), mlogit tol(0.01) iterate(500) latent(THETA) nocapslatent" + qui `mod' + mat V=r(table) + mat W=V[1..2,1...] + forvalues j=1/`nbitems' { + if (`j'<`difitems1') { + mat outmat[`k',`j'] = W[1,3*`j'] // items avant le premier dif + } + else { + mat outmat[`k',`j'] = W[1,1+3*`j'] // items après le premier dif + } + } + mat outmat[`k',`nbitems'+1] = W[1,3*`difitems1'-1] // coef de dif + mat outmat[`k',`nbitems'+2] = W[1,3*`nbitems'+2] // beta + mat outmat[`k',`nbitems'+3] = W[2,3*`nbitems'+2] // se beta + mat outmat[`k',`nbitems'+4] = `difitems1' // numéro item de dif + restore +} +putexcel set "`path_res'/out/7`scen'_`Nn'.xls", sheet("outmat") replace +putexcel A1=matrix(outmat), colnames +} +} + - forvalues m = 0/`=`nbm_`j''-1' { - qui count if item`j' == `m' & tt == 0 - local nb_rn1_g0 = r(N) - qui count if item`j' == `m' & tt == 1 - local nb_rn1_g1 = r(N) - local nb_rn = min(`nb_rn1_g0',`nb_rn1_g1') - if `nb_rn' == 0 { - qui replace comz = 1 - local recoda_`j' = 1 - if `m' == 0 | `m' < `minm`j'_t1_g0' | `m' < `minm`j'_t1_g1' { + +************************************************** Scenario 8: J = 4 items / M = 4 modalities / DIF size 0.5 +local N = "50" +foreach Nnn in `N' { +local Nn = `Nnn' +local path_data = "/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N`Nn'" +local path_res = "/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N`Nn'" +local scenarios = "A B C D E F G" +foreach scen in `scenarios' { +clear +import delim "`path_data'/scenario_8`scen'_`Nn'.csv", encoding(ISO-8859-2) case(preserve) clear +rename TT tt + +* Matrice de taille 1000 * 4 items + 1 DIF + beta + std beta + 1 dif +local nbitems = 4 +local nbdif = 1 +local taillemat = 3*`nbitems'+`nbdif'+3+2 +mat outmat = J(1000,`taillemat',.) +mat colnames outmat = "item1_1" "item1_2" "item1_3" "item2_1" "item2_2" "item2_3" "item3_1" "item3_2" "item3_3" "item4_1" "item4_2" "item4_3" "dif1_1" "dif1_2" "dif1_3" "beta" "se_beta" "dif_item_1" +di "Scenario 8`scen' / N=`Nnn'" +forvalues k=1/1000 { +if (mod(`k',100)==0) { + di "`k'/1000" +} +preserve +qui keep if replication==`k' + +* MERGE des modalités si non représentées + local com_z = 0 + qui gen comz = 0 + forvalues j = 1 / `nbitems' { + local recoda_`j' = 0 + qui tab item`j' if tt == 0, matrow(rect1_g0_`j') matcell(nbrt1_g0_`j') + local maxm`j'_t1_g0 = rect1_g0_`j'[r(r),1] + local minm`j'_t1_g0 = rect1_g0_`j'[1,1] + + qui tab item`j' if tt == 1, matrow(rect1_g1_`j') matcell(nbrt1_g1_`j') + local minm`j'_t1_g1 = rect1_g1_`j'[1,1] + local maxm`j'_t1_g1 = rect1_g1_`j'[r(r),1] + + local minm_`j' = min(`minm`j'_t1_g0',`minm`j'_t1_g1') + local maxm_`j' = max(`maxm`j'_t1_g0',`maxm`j'_t1_g1') + local nbm_`j' = `=`maxm_`j''-`minm_`j''' + + if `minm_`j'' != 0 & `com_z' == 0 { + local com_z = 1 + } + + qui count if item`j' == 3 & tt == 0 + local mod3plac = r(N) + qui count if item`j' == 3 & tt == 1 + local mod3tt = r(N) + local nb_rn3 = min(`mod3plac',`mod3tt') + if `nb_rn3'==0 { + qui replace comz = 1 + } + + forvalues m = 0/`=`nbm_`j''-1' { + qui count if item`j' == `m' & tt == 0 + local nb_rn1_g0 = r(N) + qui count if item`j' == `m' & tt == 1 + local nb_rn1_g1 = r(N) + local nb_rn = min(`nb_rn1_g0',`nb_rn1_g1') + if `nb_rn' == 0 { + qui replace comz = 1 + local recoda_`j' = 1 + if `m' == 0 | `m' < `minm`j'_t1_g0' | `m' < `minm`j'_t1_g1' { + local stop = 1 + forvalues kk = 1/`=`nbm_`j''-`m'' { + qui count if item`j' == `=`m' + `kk'' & tt == 0 + local v`kk'1_0 = r(N) + qui count if item`j' == `=`m' + `kk'' & tt == 1 + local v`kk'1_1 = r(N) + if (`v`kk'1_0' != 0 | `v`kk'1_1' != 0) & `stop' != 0 { + qui replace item`j'= `=`m'+`kk'' if item`j'==`m' + local zzz=`j'+`nbitems' + *qui replace item`zzz'=`=`m'+`kk'' if item``=`j'+`nbitems'''==`m' + *di "WARNING SCENARIO `k': items `j': answers `m' and `=`m'+`kk'' merged" + local stop = 0 + } + } + } + else if `m' == `=`nbm_`j''-1' | `m' >= `maxm`j'_t1_g1' { + local stop = 1 + forvalues kk = 1/`=`m'' { + qui count if item`j' == `=`m' - `kk'' & tt == 0 + local v`kk'1_0 = r(N) + qui count if item`j' == `=`m' - `kk'' & tt == 1 + local v`kk'1_1 = r(N) + if (`v`kk'1_0' != 0 | `v`kk'1_1' != 0) & `stop' != 0 { + qui replace item`j'= `=`m' - `kk'' if item`j'==`m' + local zzz=`j'+`nbitems' + *qui replace item`zzz'= `=`m' - `kk'' if item`zzz'==`m' + *di "WARNING SCENARIO `k': items `j': answers `m' and `=`m'+`kk'' merged" + local stop = 0 + } + } + } + else { + if runiform()>0.5{ local stop = 1 - forvalues kk = 1/`=`nbm_`j''-`m'' { - qui count if item`j' == `=`m' + `kk'' & tt == 0 + forvalues kk = 1/`m' { + qui count if item`j' == `=`m' - `kk'' & tt == 0 local v`kk'1_0 = r(N) - qui count if item`j' == `=`m' + `kk'' & tt == 1 + qui count if item`j' == `=`m' - `kk'' & tt == 1 local v`kk'1_1 = r(N) if (`v`kk'1_0' != 0 | `v`kk'1_1' != 0) & `stop' != 0 { - qui replace item`j'= `=`m'+`kk'' if item`j'==`m' + qui replace item`j'= `=`m'-`kk'' if item`j'==`m' local zzz=`j'+`nbitems' - *qui replace item`zzz'=`=`m'+`kk'' if item``=`j'+`nbitems'''==`m' + *qui replace item`zzz'=`=`m'-`kk'' if item``=`j'+`nbitems'''==`m' *di "WARNING SCENARIO `k': items `j': answers `m' and `=`m'+`kk'' merged" local stop = 0 } } } - else if `m' == `=`nbm_`j''-1' | `m' >= `maxm`j'_t1_g1' { + else { local stop = 1 - forvalues kk = 1/`=`m'' { - qui count if item`j' == `=`m' - `kk'' & tt == 0 + forvalues kk = 1/`=`nbm_`j''-`m'' { + qui count if item`j' == `=`m' + `kk'' & tt == 0 local v`kk'1_0 = r(N) - qui count if item`j' == `=`m' - `kk'' & tt == 1 + qui count if item`j' == `=`m' + `kk'' & tt == 1 local v`kk'1_1 = r(N) - if (`v`kk'1_0' != 0 | `v`kk'1_1' != 0) & `stop' != 0 { - qui replace item`j'= `=`m' - `kk'' if item`j'==`m' + if (`v`kk'1_0' != 0 | `v`kk'1_1' != 0) & `stop' != 0{ + qui replace item`j'=`=`m' + `kk'' if item`j'==`m' local zzz=`j'+`nbitems' - *qui replace item`zzz'= `=`m' - `kk'' if item`zzz'==`m' + *qui replace item`zzz'=`=`m' + `kk'' if item``=`j'+`nbitems'''==`m' *di "WARNING SCENARIO `k': items `j': answers `m' and `=`m'+`kk'' merged" local stop = 0 } - } - } - else { - if runiform()>0.5{ - local stop = 1 - forvalues kk = 1/`m' { - qui count if item`j' == `=`m' - `kk'' & tt == 0 - local v`kk'1_0 = r(N) - qui count if item`j' == `=`m' - `kk'' & tt == 1 - local v`kk'1_1 = r(N) - if (`v`kk'1_0' != 0 | `v`kk'1_1' != 0) & `stop' != 0 { - qui replace item`j'= `=`m'-`kk'' if item`j'==`m' + else { + if `stop' != 0 { + qui replace item`j'= `nbm_`j'' if item`j'==`m' local zzz=`j'+`nbitems' - *qui replace item`zzz'=`=`m'-`kk'' if item``=`j'+`nbitems'''==`m' + *qui replace item`zzz'= `nbm_`j'' if item``=`j'+`nbitems'''==`m' *di "WARNING SCENARIO `k': items `j': answers `m' and `=`m'+`kk'' merged" local stop = 0 } } } - else { - local stop = 1 - forvalues kk = 1/`=`nbm_`j''-`m'' { - qui count if item`j' == `=`m' + `kk'' & tt == 0 - local v`kk'1_0 = r(N) - qui count if item`j' == `=`m' + `kk'' & tt == 1 - local v`kk'1_1 = r(N) - if (`v`kk'1_0' != 0 | `v`kk'1_1' != 0) & `stop' != 0{ - qui replace item`j'=`=`m' + `kk'' if item`j'==`m' - local zzz=`j'+`nbitems' - *qui replace item`zzz'=`=`m' + `kk'' if item``=`j'+`nbitems'''==`m' - *di "WARNING SCENARIO `k': items `j': answers `m' and `=`m'+`kk'' merged" - local stop = 0 - } - else { - if `stop' != 0 { - qui replace item`j'= `nbm_`j'' if item`j'==`m' - local zzz=`j'+`nbitems' - *qui replace item`zzz'= `nbm_`j'' if item``=`j'+`nbitems'''==`m' - *di "WARNING SCENARIO `k': items `j': answers `m' and `=`m'+`kk'' merged" - local stop = 0 - } - } - } - } } } } - qui levelsof item`j' - local val = r(levels) - local checker: word 1 of `val' - local checker2: word 2 of `val' - local checker3: word 3 of `val' - if (`checker'!=0) { - qui recode item`j' (`checker'=0) (`checker2'=1) (`checker3'=2) - } - else if (`checker2'!=1) { - qui recode item`j' (`checker2'=1) (`checker3'=2) - } - else if (`checker3'!=2) { - qui recode item`j' (`checker3'=2) - } } + qui levelsof item`j' + local val = r(levels) + local checker: word 1 of `val' + local checker2: word 2 of `val' + local checker3: word 3 of `val' + if (`checker'!=0) { + qui recode item`j' (`checker'=0) (`checker2'=1) (`checker3'=2) + } + else if (`checker2'!=1) { + qui recode item`j' (`checker2'=1) (`checker3'=2) + } + else if (`checker3'!=2) { + qui recode item`j' (`checker3'=2) + } +} + qui valuesof comz local val = r(values) local checker: word 1 of `val' * replications avec 3 mod if (`checker' == 1) { - local difitems1=dif1 - local difitems2=dif2 - local difitems3=dif3 - local difcheck = 0 - local difcheck2 = 0 - local difcheck3 = 0 +local difitems1=dif1 +local difcheck = 0 forvalues i=1/`nbitems' { - qui sum item`i' - local checker2 = r(max) - - if (`i'==`difitems1') { - if (`checker2'==3) { - local difcheck = 1 - local constrnt = "constraint 1 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))" - local constrnt3 = "constraint 3 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))" +qui sum item`i' +local checker2 = r(max) +if (`i'==`difitems1') { + if (`checker2'==3) { + local difcheck = 1 + local constrnt = "constraint 1 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))" + local constrnt2 = "constraint 2 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))" } else { local constrnt = "constraint 1 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))" } - } - if (`i'==`difitems2') { - if (`checker2'==3) { - local difcheck2=1 - local constrnt2 = "constraint 2 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))" - local constrnt4 = "constraint 4 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))" - } - else { - local constrnt2 = "constraint 2 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))" - } - } - if (`i'==`difitems3') { - if (`checker2'==3) { - local difcheck3=1 - local constrnt5 = "constraint 5 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))" - local constrnt6 = "constraint 6 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))" - } - else { - local constrnt5 = "constraint 5 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))" - } - } } - +} local mod "gsem " forvalues i=1/`nbitems' { - qui sum item`i' - local checker2 = r(max) - if (`i'==`difitems1'| `i'==`difitems2'| `i'==`difitems3') { - if (`checker2'==3) { - local mod = "`mod'"+"(1.item`i'<-THETA@1 tt)(2.item`i'<-THETA@2 tt)(3.item`i'<-THETA@3 tt)" - } - else { - local mod = "`mod'"+"(1.item`i'<-THETA@1 tt)(2.item`i'<-THETA@2 tt)" - } - } - else { - if (`checker2'==3) { - local mod = "`mod'"+"(1.item`i'<-THETA@1)(2.item`i'<-THETA@2)(3.item`i'<-THETA@3)" - } - else { - local mod = "`mod'"+"(1.item`i'<-THETA@1)(2.item`i'<-THETA@2)" - } +qui sum item`i' +local checker2 = r(max) +if (`i'==`difitems1') { + if (`checker2'==3) { + local mod = "`mod'"+"(1.item`i'<-THETA@1 tt)(2.item`i'<-THETA@2 tt)(3.item`i'<-THETA@3 tt)" } +else { + local mod = "`mod'"+"(1.item`i'<-THETA@1 tt)(2.item`i'<-THETA@2 tt)" } -if (`difcheck'==1) { - if (`difcheck2'==1) { - if (`difcheck3'==1) { - local mod = "`mod'" + "(THETA<-tt), mlogit tol(0.01) iterate(500) latent(THETA) nocapslatent constraint(1 2 3 4 5 6)" - } - else { - local mod = "`mod'" + "(THETA<-tt), mlogit tol(0.01) iterate(500) latent(THETA) nocapslatent constraint(1 2 3 4 5)" - } - } - else { - if (`difcheck3'==1) { - local mod = "`mod'" + "(THETA<-tt), mlogit tol(0.01) iterate(500) latent(THETA) nocapslatent constraint(1 2 3 5 6)" - } - else { - local mod = "`mod'" + "(THETA<-tt), mlogit tol(0.01) iterate(500) latent(THETA) nocapslatent constraint(1 2 3 5)" - } - } } else { - if (`difcheck2'==1) { - if (`difcheck3'==1) { - local mod = "`mod'" + "(THETA<-tt), mlogit tol(0.01) iterate(500) latent(THETA) nocapslatent constraint(1 2 4 5 6)" - } - else { - local mod = "`mod'" + "(THETA<-tt), mlogit tol(0.01) iterate(500) latent(THETA) nocapslatent constraint(1 2 4 5)" - } + if (`checker2'==3) { + local mod = "`mod'"+"(1.item`i'<-THETA@1)(2.item`i'<-THETA@2)(3.item`i'<-THETA@3)" } else { - if (`difcheck3'==1) { - local mod = "`mod'" + "(THETA<-tt), mlogit tol(0.01) iterate(500) latent(THETA) nocapslatent constraint(1 2 5 6)" - } - else { - local mod = "`mod'" + "(THETA<-tt), mlogit tol(0.01) iterate(500) latent(THETA) nocapslatent constraint(1 2 5)" - } + local mod = "`mod'"+"(1.item`i'<-THETA@1)(2.item`i'<-THETA@2)" } } -qui `constrnt' -qui `constrnt2' -qui `constrnt5' +} if (`difcheck'==1) { - qui `constrnt3' +local mod = "`mod'" + "(THETA<-tt), mlogit tol(0.01) iterate(500) latent(THETA) nocapslatent constraint(1 2)" } -if (`difcheck2'==1) { - qui `constrnt4' +if (`difcheck'==0) { +local mod = "`mod'" + "(THETA<-tt), mlogit tol(0.01) iterate(500) latent(THETA) nocapslatent constraint(1)" } -if (`difcheck3'==1) { - qui `constrnt6' +qui `constrnt' +if (`difcheck'==1) { +qui `constrnt2' } qui `mod' mat V=r(table) mat W=V[1..2,1...] forvalues j=1/`nbitems' { - mat outmat[`k',3*`j'-2] = W[1,colnumb(W,"1.item`j':_cons")] // items avant le premier dif - mat outmat[`k',3*`j'-1] = W[1,colnumb(W,"2.item`j':_cons")] // items avant le premier dif - mat outmat[`k',3*`j'] = W[1,colnumb(W,"3.item`j':_cons")] // items avant le premier dif + mat outmat[`k',3*`j'-2] = W[1,colnumb(W,"1.item`j':_cons")] // items avant le premier dif + mat outmat[`k',3*`j'-1] = W[1,colnumb(W,"2.item`j':_cons")] // items avant le premier dif + mat outmat[`k',3*`j'] = W[1,colnumb(W,"3.item`j':_cons")] // items avant le premier dif } - mat outmat[`k',3*`nbitems'+1] = W[1,colnumb(W,"1.item`difitems1':tt")] // coef de dif - mat outmat[`k',3*`nbitems'+2] = W[1,colnumb(W,"2.item`difitems1':tt")] // coef de dif - mat outmat[`k',3*`nbitems'+3] = W[1,colnumb(W,"3.item`difitems1':tt")] // coef de dif - mat outmat[`k',3*`nbitems'+4] = W[1,colnumb(W,"1.item`difitems2':tt")] // coef de dif - mat outmat[`k',3*`nbitems'+5] = W[1,colnumb(W,"2.item`difitems2':tt")] // coef de dif - mat outmat[`k',3*`nbitems'+6] = W[1,colnumb(W,"3.item`difitems2':tt")] // coef de dif - mat outmat[`k',3*`nbitems'+7] = W[1,colnumb(W,"1.item`difitems3':tt")] // coef de dif - mat outmat[`k',3*`nbitems'+8] = W[1,colnumb(W,"2.item`difitems3':tt")] // coef de dif - mat outmat[`k',3*`nbitems'+9] = W[1,colnumb(W,"3.item`difitems3':tt")] // coef de dif - mat outmat[`k',3*`nbitems'+10] = W[1,colnumb(W,"THETA:tt")] // beta - mat outmat[`k',3*`nbitems'+11] = W[2,colnumb(W,"THETA:tt")] // se beta - mat outmat[`k',3*`nbitems'+12] = `difitems1' // numéro item de dif - mat outmat[`k',3*`nbitems'+13] = `difitems2' // numéro item de dif - mat outmat[`k',3*`nbitems'+14] = `difitems3' // numéro item de dif - restore +mat outmat[`k',3*`nbitems'+1] = W[1,colnumb(W,"1.item`difitems1':tt")] // coef de dif +mat outmat[`k',3*`nbitems'+2] = W[1,colnumb(W,"2.item`difitems1':tt")] // coef de dif +mat outmat[`k',3*`nbitems'+3] = W[1,colnumb(W,"3.item`difitems1':tt")] // coef de dif +mat outmat[`k',3*`nbitems'+4] = W[1,colnumb(W,"THETA:tt")] // beta +mat outmat[`k',3*`nbitems'+5] = W[2,colnumb(W,"THETA:tt")] // se beta +mat outmat[`k',3*`nbitems'+6] = `difitems1' // numéro item de dif +restore } * replications sans problèmes else { +local difitems1=dif1 +forvalues i=1/`nbitems' { +if (`i'==`difitems1') { + local constrnt = "constraint 1 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))" + local constrnt2 = "constraint 2 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))" +} +} +local mod "gsem " +forvalues i=1/`nbitems' { +if (`i'==`difitems1') { + local mod = "`mod'"+"(1.item`i'<-THETA@1 tt)(2.item`i'<-THETA@2 tt)(3.item`i'<-THETA@3 tt)" +} +else { + local mod = "`mod'"+"(1.item`i'<-THETA@1)(2.item`i'<-THETA@2)(3.item`i'<-THETA@3)" +} +} +local mod = "`mod'" + "(THETA<-tt), mlogit tol(0.01) iterate(500) latent(THETA) nocapslatent constraint(1 2)" +qui `constrnt' +qui `constrnt2' +qui `mod' +mat V=r(table) +mat W=V[1..2,1...] +forvalues j=1/`nbitems' { +if (`j'<`difitems1') { + mat outmat[`k',3*`j'-2] = W[1,7*(`j'-1)+3] // items avant le premier dif + mat outmat[`k',3*`j'-1] = W[1,7*(`j'-1)+5] // items avant le premier dif + mat outmat[`k',3*`j'] = W[1,7*(`j'-1)+7] // items avant le premier dif + } +else if (`j'==`difitems1') { + mat outmat[`k',3*`j'-2] = W[1,7*(`j'-1)+4] // items du le premier dif + mat outmat[`k',3*`j'-1] = W[1,7*(`j'-1)+7] // items du le premier dif + mat outmat[`k',3*`j'] = W[1,7*(`j'-1)+10] // items du le premier dif } +} +else { + mat outmat[`k',3*`j'-2] = W[1,7*(`j'-1)+6] // items avant le premier dif + mat outmat[`k',3*`j'-1] = W[1,7*(`j'-1)+8] // items avant le premier dif + mat outmat[`k',3*`j'] = W[1,7*(`j'-1)+10] // items avant le premier dif +} +} +mat outmat[`k',3*`nbitems'+1] = W[1,7*(`difitems1'-1)+2] // coef de dif +mat outmat[`k',3*`nbitems'+2] = W[1,7*(`difitems1'-1)+5] // coef de dif +mat outmat[`k',3*`nbitems'+3] = W[1,7*(`difitems1'-1)+8] // coef de dif +mat outmat[`k',3*`nbitems'+4] = W[1,7*`nbitems'+4] // beta +mat outmat[`k',3*`nbitems'+5] = W[2,7*`nbitems'+4] // se beta +mat outmat[`k',3*`nbitems'+6] = `difitems1' // numéro item de dif +restore +} +} +putexcel set "`path_res'/out/8`scen'_`Nn'.xls", sheet("outmat") replace +putexcel A1=matrix(outmat), colnames +} +} + + + +*************************************************** Scenarios with DIF on 2 items + +* Load pcm.ado +adopath+"/home/corentin/Documents/These/Recherche/Simulations/Modules/" + +************************************************** Scenario 9: J = 4 items / M = 2 modalities / DIF size 0.3 x2 +local N = "50" +foreach Nnn in `N' { +local Nn = `Nnn' +local path_data = "/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N`Nn'" +local path_res = "/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N`Nn'" +local scenarios = "A B C D E F G" +foreach scen in `scenarios' { +clear +import delim "`path_data'/scenario_9`scen'_`Nn'.csv", encoding(ISO-8859-2) case(preserve) clear +rename TT tt + +* Matrice de taille 1000 * 4 items + 1 DIF + beta + std beta + 1 dif +local nbitems = 4 +local nbdif = 2 +local taillemat = `nbitems'+`nbdif'+4 +mat outmat = J(1000,`taillemat',.) +mat colnames outmat = "item1" "item2" "item3" "item4" "dif1" "dif2" "beta" "se_beta" "dif_item_1" "dif_item_2" +di "Scenario 9`scen' / N=`Nnn'" +forvalues k=1/1000 { + if (mod(`k',100)==0) { + di "`k'/1000" + } + preserve + qui keep if replication==`k' local difitems1=dif1 local difitems2=dif2 - local difitems3=dif3 - if (`difitems1' < `difitems2') { - local difitemsmin= `difitems1' - local difitemsmax= `difitems2' - } - else { - local difitemsmin= `difitems2' - local difitemsmax= `difitems1' - } - if (`difitems3' < `difitemsmin') { - local difitemsmid = `difitemsmin' - local difitemsmin= `difitems3' - } - else if (`difitems3' > `difitemsmax') { - local difitemsmid = `difitemsmax' - local difitemsmax= `difitems3' + if (`difitems1'<`difitems2') { + local difitemsmin `difitems1' + local difitemsmax `difitems2' } else { - local difitemsmid = `difitems3' - } - forvalues i=1/`nbitems' { - if (`i'==`difitemsmin') { - local constrnt = "constraint 1 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))" - local constrnt2 = "constraint 2 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))" - } - } - forvalues i=1/`nbitems' { - if (`i'==`difitemsmax') { - local constrn3 = "constraint 3 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))" - local constrnt4 = "constraint 4 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))" - } - } - forvalues i=1/`nbitems' { - if (`i'==`difitemsmid') { - local constrn5 = "constraint 5 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))" - local constrnt6 = "constraint 6 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))" - } + local difitemsmin `difitems2' + local difitemsmax `difitems1' } local mod "gsem " forvalues i=1/`nbitems' { - if (`i'==`difitemsmin' | `i'==`difitemsmax' | `i'==`difitemsmid') { - local mod = "`mod'"+"(1.item`i'<-THETA@1 tt)(2.item`i'<-THETA@2 tt)(3.item`i'<-THETA@3 tt)" + if (`i'==`difitemsmin' | `i'==`difitemsmax') { + local mod = "`mod'"+"(1.item`i'<-THETA@1 tt)" } else { - local mod = "`mod'"+"(1.item`i'<-THETA@1)(2.item`i'<-THETA@2)(3.item`i'<-THETA@3)" + local mod = "`mod'"+"(1.item`i'<-THETA@1)" } } - local mod = "`mod'" + "(THETA<-tt), mlogit tol(0.01) iterate(500) latent(THETA) nocapslatent constraint(1 2 3 4 5 6)" - qui `constrnt' - qui `constrnt2' - qui `constrnt3' - qui `constrnt4' - qui `constrnt6' - qui `constrnt6' + local mod = "`mod'" + "(THETA<-tt), mlogit tol(0.01) iterate(500) latent(THETA) nocapslatent" qui `mod' mat V=r(table) mat W=V[1..2,1...] forvalues j=1/`nbitems' { - if (`j'<`difitemsmin') { - mat outmat[`k',3*`j'-2] = W[1,7*(`j'-1)+3] // items avant le premier dif - mat outmat[`k',3*`j'-1] = W[1,7*(`j'-1)+5] // items avant le premier dif - mat outmat[`k',3*`j'] = W[1,7*(`j'-1)+7] // items avant le premier dif - } - else if (`j'==`difitemsmin') { - mat outmat[`k',3*`j'-2] = W[1,7*(`j'-1)+4] // items du le premier dif - mat outmat[`k',3*`j'-1] = W[1,7*(`j'-1)+7] // items du le premier dif - mat outmat[`k',3*`j'] = W[1,7*(`j'-1)+10] // items du le premier dif } + if (`j'<`difitemsmin') { + mat outmat[`k',`j'] = W[1,3*`j'] // items avant le premier dif } - else if (`j'<`difitemsmid') { - mat outmat[`k',3*`j'-2] = W[1,7*(`j'-1)+6] // items avant le premier dif - mat outmat[`k',3*`j'-1] = W[1,7*(`j'-1)+8] // items avant le premier dif - mat outmat[`k',3*`j'] = W[1,7*(`j'-1)+10] // items avant le premier dif + else if (`j'<`difitemsmax') { + mat outmat[`k',`j'] = W[1,1+3*`j'] // items après le premier dif } - else if (`j'==`difitemsmid') { - mat outmat[`k',3*`j'-2] = W[1,7*(`j'-1)+7] // items avant le premier dif - mat outmat[`k',3*`j'-1] = W[1,7*(`j'-1)+10] // items avant le premier dif - mat outmat[`k',3*`j'] = W[1,7*(`j'-1)+13] // items avant le premier dif + else { + mat outmat[`k',`j'] = W[1,2+3*`j'] // items après le deuxieme dif } - else if (`j'<`difitemsmax') { - mat outmat[`k',3*`j'-2] = W[1,7*(`j'-1)+9] // items avant le premier dif - mat outmat[`k',3*`j'-1] = W[1,7*(`j'-1)+11] // items avant le premier dif - mat outmat[`k',3*`j'] = W[1,7*(`j'-1)+13] // items avant le premier dif } - else if (`j'==`difitemsmax') { - mat outmat[`k',3*`j'-2] = W[1,7*(`j'-1)+10] // items avant le premier dif - mat outmat[`k',3*`j'-1] = W[1,7*(`j'-1)+13] // items avant le premier dif - mat outmat[`k',3*`j'] = W[1,7*(`j'-1)+16] // items avant le premier dif + mat outmat[`k',`nbitems'+1] = W[1,3*`difitemsmin'-1] // coef de dif + mat outmat[`k',`nbitems'+2] = W[1,3*`difitemsmax'] // coef de dif + mat outmat[`k',`nbitems'+3] = W[1,3*`nbitems'+3] // beta + mat outmat[`k',`nbitems'+4] = W[2,3*`nbitems'+3] // se beta + mat outmat[`k',`nbitems'+5] = `difitemsmin' // numéro item de dif + mat outmat[`k',`nbitems'+6] = `difitemsmax' // numéro item de dif + restore +} +putexcel set "`path_res'/out/9`scen'_`Nn'.xls", sheet("outmat") replace +putexcel A1=matrix(outmat), colnames +} +} + + + +************************************************** Scenario 10: J = 4 items / M = 4 modalities / DIF size 0.3x2 +local N = "50" +foreach Nnn in `N' { +local Nn = `Nnn' +local path_data = "/home/corentin/Documents/These/Recherche/Simulations/Data/DIF/N`Nn'" +local path_res = "/home/corentin/Documents/These/Recherche/Simulations/Analysis/DIF/N`Nn'" +local scenarios = "A B C D E F G" +foreach scen in `scenarios' { +clear +import delim "`path_data'/scenario_10`scen'_`Nn'.csv", encoding(ISO-8859-2) case(preserve) clear +rename TT tt + +* Matrice de taille 1000 * 4 items + 1 DIF + beta + std beta + 1 dif +local nbitems = 4 +local nbdif = 2 +local taillemat = 3*`nbitems'+`nbdif'+6+2 +mat outmat = J(1000,`taillemat',.) +mat colnames outmat = "item1_1" "item1_2" "item1_3" "item2_1" "item2_2" "item2_3" "item3_1" "item3_2" "item3_3" "item4_1" "item4_2" "item4_3" "dif1_1" "dif1_2" "dif1_3" "dif2_1" "dif2_2" "dif2_3" "beta" "se_beta" "dif_item_1" "dif_item_2" +di "Scenario 10`scen' / N=`Nnn'" +forvalues k=1/1000 { +if (mod(`k',100)==0) { + di "`k'/1000" +} +preserve +qui keep if replication==`k' + + +* MERGE des modalités si non représentées + local com_z = 0 + qui gen comz = 0 + forvalues j = 1 / `nbitems' { + local recoda_`j' = 0 + qui tab item`j' if tt == 0, matrow(rect1_g0_`j') matcell(nbrt1_g0_`j') + local maxm`j'_t1_g0 = rect1_g0_`j'[r(r),1] + local minm`j'_t1_g0 = rect1_g0_`j'[1,1] + + qui tab item`j' if tt == 1, matrow(rect1_g1_`j') matcell(nbrt1_g1_`j') + local minm`j'_t1_g1 = rect1_g1_`j'[1,1] + local maxm`j'_t1_g1 = rect1_g1_`j'[r(r),1] + + local minm_`j' = min(`minm`j'_t1_g0',`minm`j'_t1_g1') + local maxm_`j' = max(`maxm`j'_t1_g0',`maxm`j'_t1_g1') + local nbm_`j' = `=`maxm_`j''-`minm_`j''' + + if `minm_`j'' != 0 & `com_z' == 0 { + local com_z = 1 } + + qui count if item`j' == 3 & tt == 0 + local mod3plac = r(N) + qui count if item`j' == 3 & tt == 1 + local mod3tt = r(N) + local nb_rn3 = min(`mod3plac',`mod3tt') + if `nb_rn3'==0 { + qui replace comz = 1 + } + + forvalues m = 0/`=`nbm_`j''-1' { + qui count if item`j' == `m' & tt == 0 + local nb_rn1_g0 = r(N) + qui count if item`j' == `m' & tt == 1 + local nb_rn1_g1 = r(N) + local nb_rn = min(`nb_rn1_g0',`nb_rn1_g1') + if `nb_rn' == 0 { + qui replace comz = 1 + local recoda_`j' = 1 + if `m' == 0 | `m' < `minm`j'_t1_g0' | `m' < `minm`j'_t1_g1' { + local stop = 1 + forvalues kk = 1/`=`nbm_`j''-`m'' { + qui count if item`j' == `=`m' + `kk'' & tt == 0 + local v`kk'1_0 = r(N) + qui count if item`j' == `=`m' + `kk'' & tt == 1 + local v`kk'1_1 = r(N) + if (`v`kk'1_0' != 0 | `v`kk'1_1' != 0) & `stop' != 0 { + qui replace item`j'= `=`m'+`kk'' if item`j'==`m' + local zzz=`j'+`nbitems' + *qui replace item`zzz'=`=`m'+`kk'' if item``=`j'+`nbitems'''==`m' + *di "WARNING SCENARIO `k': items `j': answers `m' and `=`m'+`kk'' merged" + local stop = 0 + } + } + } + else if `m' == `=`nbm_`j''-1' | `m' >= `maxm`j'_t1_g1' { + local stop = 1 + forvalues kk = 1/`=`m'' { + qui count if item`j' == `=`m' - `kk'' & tt == 0 + local v`kk'1_0 = r(N) + qui count if item`j' == `=`m' - `kk'' & tt == 1 + local v`kk'1_1 = r(N) + if (`v`kk'1_0' != 0 | `v`kk'1_1' != 0) & `stop' != 0 { + qui replace item`j'= `=`m' - `kk'' if item`j'==`m' + local zzz=`j'+`nbitems' + *qui replace item`zzz'= `=`m' - `kk'' if item`zzz'==`m' + *di "WARNING SCENARIO `k': items `j': answers `m' and `=`m'+`kk'' merged" + local stop = 0 + } + } + } + else { + if runiform()>0.5{ + local stop = 1 + forvalues kk = 1/`m' { + qui count if item`j' == `=`m' - `kk'' & tt == 0 + local v`kk'1_0 = r(N) + qui count if item`j' == `=`m' - `kk'' & tt == 1 + local v`kk'1_1 = r(N) + if (`v`kk'1_0' != 0 | `v`kk'1_1' != 0) & `stop' != 0 { + qui replace item`j'= `=`m'-`kk'' if item`j'==`m' + local zzz=`j'+`nbitems' + *qui replace item`zzz'=`=`m'-`kk'' if item``=`j'+`nbitems'''==`m' + *di "WARNING SCENARIO `k': items `j': answers `m' and `=`m'+`kk'' merged" + local stop = 0 + } + } + } + else { + local stop = 1 + forvalues kk = 1/`=`nbm_`j''-`m'' { + qui count if item`j' == `=`m' + `kk'' & tt == 0 + local v`kk'1_0 = r(N) + qui count if item`j' == `=`m' + `kk'' & tt == 1 + local v`kk'1_1 = r(N) + if (`v`kk'1_0' != 0 | `v`kk'1_1' != 0) & `stop' != 0{ + qui replace item`j'=`=`m' + `kk'' if item`j'==`m' + local zzz=`j'+`nbitems' + *qui replace item`zzz'=`=`m' + `kk'' if item``=`j'+`nbitems'''==`m' + *di "WARNING SCENARIO `k': items `j': answers `m' and `=`m'+`kk'' merged" + local stop = 0 + } + else { + if `stop' != 0 { + qui replace item`j'= `nbm_`j'' if item`j'==`m' + local zzz=`j'+`nbitems' + *qui replace item`zzz'= `nbm_`j'' if item``=`j'+`nbitems'''==`m' + *di "WARNING SCENARIO `k': items `j': answers `m' and `=`m'+`kk'' merged" + local stop = 0 + } + } + } + } + } + } + } + qui levelsof item`j' + local val = r(levels) + local checker: word 1 of `val' + local checker2: word 2 of `val' + local checker3: word 3 of `val' + if (`checker'!=0) { + qui recode item`j' (`checker'=0) (`checker2'=1) (`checker3'=2) + } + else if (`checker2'!=1) { + qui recode item`j' (`checker2'=1) (`checker3'=2) + } + else if (`checker3'!=2) { + qui recode item`j' (`checker3'=2) + } +} + +qui valuesof comz +local val = r(values) +local checker: word 1 of `val' + +* replications avec 3 mod +if (`checker' == 1) { +local difitems1=dif1 +local difitems2=dif2 +local difcheck = 0 +local difcheck2 = 0 +forvalues i=1/`nbitems' { +qui sum item`i' +local checker2 = r(max) + +if (`i'==`difitems1') { + if (`checker2'==3) { + local difcheck = 1 + local constrnt = "constraint 1 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))" + local constrnt3 = "constraint 3 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))" +} +else { + local constrnt = "constraint 1 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))" +} +} +if (`i'==`difitems2') { + if (`checker2'==3) { + local difcheck2=1 + local constrnt2 = "constraint 2 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))" + local constrnt4 = "constraint 4 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))" +} +else { + local constrnt2 = "constraint 2 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))" +} +} +} +local mod "gsem " +forvalues i=1/`nbitems' { +qui sum item`i' +local checker2 = r(max) +if (`i'==`difitems1'| `i'==`difitems2') { + if (`checker2'==3) { + local mod = "`mod'"+"(1.item`i'<-THETA@1 tt)(2.item`i'<-THETA@2 tt)(3.item`i'<-THETA@3 tt)" +} else { - mat outmat[`k',3*`j'-2] = W[1,7*(`j'-1)+12] // items avant le premier dif - mat outmat[`k',3*`j'-1] = W[1,7*(`j'-1)+14] // items avant le premier dif - mat outmat[`k',3*`j'] = W[1,7*(`j'-1)+16] // items avant le premier dif - } - } - mat outmat[`k',3*`nbitems'+1] = W[1,7*(`difitemsmin'-1)+2] // coef de dif - mat outmat[`k',3*`nbitems'+2] = W[1,7*(`difitemsmin'-1)+5] // coef de dif - mat outmat[`k',3*`nbitems'+3] = W[1,7*(`difitemsmin'-1)+8] // coef de dif - mat outmat[`k',3*`nbitems'+4] = W[1,7*(`difitemsmid'-1)+5] // coef de dif - mat outmat[`k',3*`nbitems'+5] = W[1,7*(`difitemsmid'-1)+8] // coef de dif - mat outmat[`k',3*`nbitems'+6] = W[1,7*(`difitemsmid'-1)+11] // coef de dif - mat outmat[`k',3*`nbitems'+7] = W[1,7*(`difitemsmax'-1)+8] // coef de dif - mat outmat[`k',3*`nbitems'+8] = W[1,7*(`difitemsmax'-1)+11] // coef de dif - mat outmat[`k',3*`nbitems'+9] = W[1,7*(`difitemsmax'-1)+14] // coef de dif - mat outmat[`k',3*`nbitems'+10] = W[1,7*`nbitems'+10] // beta - mat outmat[`k',3*`nbitems'+11] = W[2,7*`nbitems'+10] // se beta - mat outmat[`k',3*`nbitems'+12] = `difitemsmin' // numéro item de dif - mat outmat[`k',3*`nbitems'+13] = `difitemsmid' // numéro item de dif - mat outmat[`k',3*`nbitems'+14] = `difitemsmax' // numéro item de dif - restore -} -} -putexcel set "`path_res'/out/20`scen'_`Nn'.xls", sheet("outmat") replace + local mod = "`mod'"+"(1.item`i'<-THETA@1 tt)(2.item`i'<-THETA@2 tt)" + } +} +else { + if (`checker2'==3) { + local mod = "`mod'"+"(1.item`i'<-THETA@1)(2.item`i'<-THETA@2)(3.item`i'<-THETA@3)" +} +else { + local mod = "`mod'"+"(1.item`i'<-THETA@1)(2.item`i'<-THETA@2)" +} +} +} +if (`difcheck'==1) { +if (`difcheck2'==1) { + local mod = "`mod'" + "(THETA<-tt), mlogit tol(0.01) iterate(500) latent(THETA) nocapslatent constraint(1 2 3 4)" +} +else { + local mod = "`mod'" + "(THETA<-tt), mlogit tol(0.01) iterate(500) latent(THETA) nocapslatent constraint(1 2 3)" +} +} +else { +if (`difcheck2'==1) { + local mod = "`mod'" + "(THETA<-tt), mlogit tol(0.01) iterate(500) latent(THETA) nocapslatent constraint(1 2 4)" +} +else { + local mod = "`mod'" + "(THETA<-tt), mlogit tol(0.01) iterate(500) latent(THETA) nocapslatent constraint(1 2)" +} +} +qui `constrnt' +qui `constrnt2' +if (`difcheck'==1) { +qui `constrnt3' +} +if (`difcheck2'==1) { +qui `constrnt4' +} +qui `mod' +mat V=r(table) +mat W=V[1..2,1...] +forvalues j=1/`nbitems' { + + mat outmat[`k',3*`j'-2] = W[1,colnumb(W,"1.item`j':_cons")] // items avant le premier dif + mat outmat[`k',3*`j'-1] = W[1,colnumb(W,"2.item`j':_cons")] // items avant le premier dif + mat outmat[`k',3*`j'] = W[1,colnumb(W,"3.item`j':_cons")] // items avant le premier dif +} +mat outmat[`k',3*`nbitems'+1] = W[1,colnumb(W,"1.item`difitems1':tt")] // coef de dif +mat outmat[`k',3*`nbitems'+2] = W[1,colnumb(W,"2.item`difitems1':tt")] // coef de dif +mat outmat[`k',3*`nbitems'+3] = W[1,colnumb(W,"3.item`difitems1':tt")] // coef de dif +mat outmat[`k',3*`nbitems'+4] = W[1,colnumb(W,"1.item`difitems2':tt")] // coef de dif +mat outmat[`k',3*`nbitems'+5] = W[1,colnumb(W,"2.item`difitems2':tt")] // coef de dif +mat outmat[`k',3*`nbitems'+6] = W[1,colnumb(W,"3.item`difitems2':tt")] // coef de dif +mat outmat[`k',3*`nbitems'+7] = W[1,colnumb(W,"THETA:tt")] // beta +mat outmat[`k',3*`nbitems'+8] = W[2,colnumb(W,"THETA:tt")] // se beta +mat outmat[`k',3*`nbitems'+9] = `difitems1' // numéro item de dif +mat outmat[`k',3*`nbitems'+10] = `difitems2' // numéro item de dif +restore +} + +* replications sans problèmes +else { +local difitems1=dif1 +local difitems2=dif2 +forvalues i=1/`nbitems' { +if (`i'==`difitems1') { + local constrnt = "constraint 1 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))" + local constrnt2 = "constraint 2 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))" +} +if (`i'==`difitems2') { + local constrnt3 = "constraint 3 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))" + local constrnt4 = "constraint 4 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))" +} +} +local mod "gsem " +forvalues i=1/`nbitems' { +if (`i'==`difitems1' | `i'==`difitems2') { + local mod = "`mod'"+"(1.item`i'<-THETA@1 tt)(2.item`i'<-THETA@2 tt)(3.item`i'<-THETA@3 tt)" +} +else { + local mod = "`mod'"+"(1.item`i'<-THETA@1)(2.item`i'<-THETA@2)(3.item`i'<-THETA@3)" +} +} +local mod = "`mod'" + "(THETA<-tt), mlogit tol(0.01) iterate(500) latent(THETA) nocapslatent constraint(1 2 3 4)" +qui `constrnt' +qui `constrnt2' +qui `constrnt3' +qui `constrnt4' +qui `mod' +mat V=r(table) +mat W=V[1..2,1...] +forvalues j=1/`nbitems' { + mat outmat[`k',3*`j'-2] = W[1,colnumb(W,"1.item`j':_cons")] // items avant le premier dif + mat outmat[`k',3*`j'-1] = W[1,colnumb(W,"2.item`j':_cons")] // items avant le premier dif + mat outmat[`k',3*`j'] = W[1,colnumb(W,"3.item`j':_cons")] // items avant le premier dif +} +mat outmat[`k',3*`nbitems'+1] = W[1,colnumb(W,"1.item`difitems1':tt")] // coef de dif +mat outmat[`k',3*`nbitems'+2] = W[1,colnumb(W,"2.item`difitems1':tt")] // coef de dif +mat outmat[`k',3*`nbitems'+3] = W[1,colnumb(W,"3.item`difitems1':tt")] // coef de dif +mat outmat[`k',3*`nbitems'+4] = W[1,colnumb(W,"1.item`difitems2':tt")] // coef de dif +mat outmat[`k',3*`nbitems'+5] = W[1,colnumb(W,"2.item`difitems2':tt")] // coef de dif +mat outmat[`k',3*`nbitems'+6] = W[1,colnumb(W,"3.item`difitems2':tt")] // coef de dif +mat outmat[`k',3*`nbitems'+7] = W[1,colnumb(W,"THETA:tt")] // beta +mat outmat[`k',3*`nbitems'+8] = W[2,colnumb(W,"THETA:tt")] // se beta +mat outmat[`k',3*`nbitems'+9] = `difitems1' // numéro item de dif +mat outmat[`k',3*`nbitems'+10] = `difitems2' // numéro item de dif +restore +} +} +putexcel set "`path_res'/out/10`scen'_`Nn'.xls", sheet("outmat") replace putexcel A1=matrix(outmat), colnames } }