library("doMC")
registerDoMC(detectCores(all.tests = FALSE, logical = TRUE)-1)
# Load functions
source("Functions/multi_impute.R")
source("Functions/rubin2_all.R")
source("Functions/proj_matrix.R")
source("Functions/mi4limma.R")
source("Functions/limmaCompleteTest_mod.R")
# Charger la liste des 100 jeux de données amputés
load(file = "Simulation-3/DATA/L16_MV1pct_NA_data")
# Charger les métadonnées
load(file = "Simulation-3/DATA/L16_metadata")
# ---- RANDOM NUMBER GENERATION ---- #
set.seed(17)
# ---- IMPUTATION ---- #
L16.MV1pct.impkNN <- foreach(iforeach = L16.MV1pct.NA.data,
.errorhandling = 'stop', .verbose = F) %dopar%
multi.impute(data = iforeach, conditions = L16_metadata$Condition,
parallel = F, method = "kNN")
# ---- ESTIMATION ---- #
L16.MV1pct.impkNN.VarRubin.Mat <- lapply(1:length(L16.MV1pct.impkNN), function(index){
print(paste(Sys.time(), "Dataset", index, "out of", length(L16.MV1pct.impkNN)))
rubin2.all(data = L16.MV1pct.impkNN[[index]], metacond = L16_metadata$Condition)
})
# ---- PROJECTION ---- #
L16.MV1pct.impkNN.VarRubin.S2 <- lapply(1:length(L16.MV1pct.impkNN.VarRubin.Mat), function(id.dataset){
print(paste("Dataset", id.dataset, "out of",length(L16.MV1pct.impkNN.VarRubin.Mat), Sys.time()))
as.numeric(lapply(L16.MV1pct.impkNN.VarRubin.Mat[[id.dataset]], function(aaa){
DesMat = DAPAR::make.design(L16_metadata)
return(max(diag(aaa)%*%t(DesMat)%*%DesMat))
}))
})
# ---- MODERATED T-TEST ---- #
L16.MV1pct.impkNN.mi4limma.res <- foreach(iforeach = 1:100, .errorhandling = 'stop', .verbose = F) %dopar%
mi4limma(qData = apply(L16.MV1pct.impkNN[[iforeach]],1:2,mean),
sTab = L16_metadata,
VarRubin = sqrt(L16.MV1pct.impkNN.VarRubin.S2[[iforeach]]))
L16.MV1pct.impkNN.dapar.res <- foreach(iforeach = 1:100, .errorhandling = 'stop', .verbose = F) %dopar%
limmaCompleteTest.mod(qData = apply(L16.MV1pct.impkNN[[iforeach]],1:2,mean),
sTab = L16_metadata)
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