Nothing
R/MFA.R
In FactoMineR: Multivariate Exploratory Data Analysis and Data Mining
MFA <- function (base, group, type = rep("s",length(group)), excl = NULL, ind.sup = NULL, ncp = 5, name.group = NULL, num.group.sup = NULL, graph = TRUE, weight.col.mfa = NULL, row.w = NULL, axes=c(1,2),tab.comp=NULL){
moy.p <- function(V, poids) {
res <- sum(V * poids,na.rm=TRUE)/sum(poids[!is.na(V)])
}
ec <- function(V, poids) {
res <- sqrt(sum(V^2 * poids,na.rm=TRUE)/sum(poids[!is.na(V)]))
}
funcLg <- function (x, y, ponderation.x, ponderation.y, wt = rep(1/nrow(x), nrow(x)), cor = FALSE) {
if (is.data.frame(x)) x <- as.matrix(x)
else if (!is.matrix(x)) stop("'x' must be a matrix or a data frame")
if (is.data.frame(y)) y <- as.matrix(y)
else if (!is.matrix(y)) stop("'y' must be a matrix or a data frame")
if (!all(is.finite(x))) stop("'x' must contain finite values only")
if (!all(is.finite(y))) stop("'y' must contain finite values only")
s <- sum(wt)
wt <- wt/s
center <- colSums(wt * x)
x <- sqrt(wt) * t(t(sweep(x, 2, center, check.margin = FALSE))*sqrt(ponderation.x))
center <- colSums(wt * y)
y <- sqrt(wt) * t(t(sweep(y, 2, center, check.margin = FALSE))*sqrt(ponderation.y))
Lg <- 0
for (i in 1:ncol(x)) Lg <- Lg+sum(crossprod(x[,i],y)^2)
Lg
}
if (!is.null(excl) & "m"%in%type) stop("Excluding categories is not allowed when some groups are mixed")
if (!is.null(tab.comp)){
if (!is.null(weight.col.mfa)) stop("Weightings on the variables are not allowed with the tab.comp argument")
}
if (is.null(rownames(base))) rownames(base) <- 1:nrow(base)
if (is.null(colnames(base))) colnames(base) <- paste("V",1:ncol(base),sep="")
base <- as.data.frame(base)
is.quali <- which(!unlist(lapply(base,is.numeric)))
base[,is.quali] <- lapply(base[,is.quali,drop=FALSE],as.factor)
base <- droplevels(base)
nature.group <- NULL
nbre.group <- length(group)
for (i in 1:nbre.group){
if ((type[i] == "n")&&(!(i%in%num.group.sup))) nature.group <- c(nature.group,"quali")
if ((type[i] == "n")&&(i%in%num.group.sup)) nature.group <- c(nature.group,"quali.sup")
if (((type[i] == "s")||(type[i] == "c"))&&(!(i%in%num.group.sup))) nature.group <- c(nature.group,"quanti")
if (((type[i] == "s")||(type[i] == "c"))&&(i%in%num.group.sup)) nature.group <- c(nature.group,"quanti.sup")
if (((type[i] == "f")||(type[i] == "f2"))&&(!(i%in%num.group.sup))) nature.group <- c(nature.group,"contingency")
if (((type[i] == "f")||(type[i] == "f2"))&&(i%in%num.group.sup)) nature.group <- c(nature.group,"contingency.sup")
if ((type[i] == "m")&&(!(i%in%num.group.sup))) nature.group <- c(nature.group,"mixed")
if ((type[i] == "m")&&(i%in%num.group.sup)) nature.group <- c(nature.group,"mixed.sup")
}
# nature.var <- rep(nature.group,times=group)
list.type.var <- vector(mode = "list", length = nbre.group)
for (i in 1:nbre.group){
if ((type[i] == "n")&&(!(i%in%num.group.sup))) list.type.var[[i]] <- rep("quali",group[i])
if ((type[i] == "n")&&(i%in%num.group.sup)) list.type.var[[i]] <- rep("quali.sup",group[i])
if (((type[i] == "s")||(type[i] == "c"))&&(!(i%in%num.group.sup))) list.type.var[[i]] <- rep("quanti",group[i])
if (((type[i] == "s")||(type[i] == "c"))&&(i%in%num.group.sup)) list.type.var[[i]] <- rep("quanti.sup",group[i])
if (((type[i] == "f")||(type[i] == "f2")||(type[i] == "f3"))&&(!(i%in%num.group.sup))) list.type.var[[i]] <- rep(type[i],group[i])
if (((type[i] == "f")||(type[i] == "f2")||(type[i] == "f3"))&&(i%in%num.group.sup)) list.type.var[[i]] <- rep(paste(type[i],"sup",sep="_"),group[i])
if ((type[i] == "m")&&(!(i%in%num.group.sup))){
if (i==1) list.type.var[[i]] <- ifelse(sapply(base[,1:group[1]],is.numeric),"quanti","quali")
else list.type.var[[i]] <- ifelse(sapply(base[,(sum(group[1:(i-1)])+1):sum(group[1:i])],is.numeric),"quanti","quali")
}
if ((type[i] == "m")&&(i%in%num.group.sup)){
if (i==1) list.type.var[[i]] <- ifelse(sapply(base[,1:group[1]],is.numeric),"quanti.sup","quali.sup")
else list.type.var[[i]] <- ifelse(sapply(base[,(sum(group[1:(i-1)])+1):sum(group[1:i])],is.numeric),"quanti.sup","quali.sup")
}
if (i==1) names(list.type.var[[1]]) <- colnames(base)[1:group[1]]
else names(list.type.var[[i]]) <- colnames(base)[(sum(group[1:(i-1)])+1):sum(group[1:i])]
}
nature.var <- type.var <- unlist(list.type.var)
names(nature.var)=NULL
if (!is.null(ind.sup)) {
base <- rbind.data.frame(base[-ind.sup,],base[ind.sup,,drop=FALSE])
ind.sup <- (nrow(base)-length(ind.sup)+1) : nrow(base)
}
nbre.var <- ncol(base)
group.actif <- NULL
if ("n"%in%type || "m"%in%type){
niveau <- NULL
for (j in 1:ncol(base)){
if (!is.numeric(base[,j])) niveau <- c(niveau,levels(base[,j]))
}
for (j in 1:ncol(base)) {
if (!is.numeric(base[,j])){
if (sum(niveau%in%levels(base[,j]))!=nlevels(base[,j])) levels(base[,j]) <- paste(colnames(base)[j],levels(base[,j]),sep="_")
}
}
}
for (i in 1:nbre.group) if (!(i%in%num.group.sup)) group.actif <- c(group.actif,i)
group.mod <- group
nbre.ind <- nrow(base)
nb.actif <- nbre.ind-length(ind.sup)
if (nbre.var != sum(group)) stop("not convenient group definition")
if (nbre.group != length(type)) stop("not convenient type definition")
base <- as.data.frame(base)
if (!inherits(base, "data.frame")) stop("base should be a data.frame")
res.separe <- vector(mode = "list", length = nbre.group)
if (is.null(name.group)) name.group <- paste0("Gr", 1:nbre.group)
names(res.separe) <- name.group
ind.grpe <- 0
## modif 2023/11/29
if (any(is.na(base)) & is.null(tab.comp)){
for (j in 1:ncol(base)){
if (is.numeric(base[,j])) base[,j] <- replace(base[,j],is.na(base[,j]),mean(base[,j],na.rm=TRUE))
else base[,j] <- as.factor(replace(as.character(base[,j]),is.na(base[,j]),paste(colnames(base)[j],".NA",sep="")))
}
}
# if (any(is.na(base))){
# if (!("n"%in%type)) for (j in 1:ncol(base)) base[,j] <- replace(base[,j],is.na(base[,j]),mean(base[,j],na.rm=TRUE))
# else{
# if (type[1]!="n") for (j in 1:group[1]) base[,j] <- replace(base[,j],is.na(base[,j]),mean(base[,j],na.rm=TRUE))
# for (g in 2:nbre.group){
# if (type[g]!="n") for (j in (sum(group[1:(g-1)])+1):sum(group[1:g])) base[,j] <- replace(base[,j],is.na(base[,j]),mean(base[,j],na.rm=TRUE))
# }
# if (is.null(tab.comp)){
# if (type[1]=="n") for (j in 1:group[1]) base[,j] <- as.factor(replace(as.character(base[,j]),is.na(base[,j]),paste(colnames(base)[j],".NA",sep="")))
# for (g in 2:nbre.group){
# if (type[g]=="n") for (j in (sum(group[1:(g-1)])+1):sum(group[1:g])) base[,j] <- as.factor(replace(as.character(base[,j]),is.na(base[,j]),paste(colnames(base)[j],".NA",sep="")))
# }
# }
#}
# }
if (is.null(row.w)) row.w <- rep(1,nb.actif)
if (any("f" %in% type)+any("f2" %in% type)+any("f3" %in% type)>1) stop("For the contingency tables, the type must the the same")
if (("f" %in% type)||("f2" %in% type)||("f3" %in% type)) {
grfrec<-c(which(type=="f"),which(type=="f2"),which(type=="f3"))
## pour avoir individus actifs, que ind.sup soit NULL ou non
## ind.actif <- !((1:nrow(base))%in%intersect(ind.sup,(1:nrow(base))))
for (i in grfrec){
if ((type[i]=="f2")||(type[i]=="f3")||(i%in%num.group.sup)){
if (i==1) base[,1:group[1]]<- base[,1:group[1]]/sum(base[1:nb.actif,1:group[1]])
else base[,(sum(group[1:(i-1)])+1):sum(group[1:i])]<-base[,(sum(group[1:(i-1)])+1):sum(group[1:i])]/sum(base[1:nb.actif,(sum(group[1:(i-1)])+1):sum(group[1:i])])
}
}
type.var=="f"
if(!any(type.var=="f")) sumT <-1
else sumT <- sum(base[1:nb.actif,as.logical((type.var=="f")+(type.var=="f2")+(type.var=="f3"))])
if (sumT==0) sumT <- 1
base[,as.logical((type.var=="f")+(type.var=="f_sup")+(type.var=="f2")+(type.var=="f2_sup")+(type.var=="f3")+(type.var=="f3_sup"))]<-base[,as.logical((type.var=="f")+(type.var=="f_sup")+(type.var=="f2")+(type.var=="f2_sup")+(type.var=="f3")+(type.var=="f3_sup"))]/sumT
F.jt<-list()
Fi.t<-list()
for (j in grfrec){
if (j==1){
F.jt[[j]]<-apply(base[1:nb.actif,1:group[1]],2,sum)
Fi.t[[j]]<-apply(base[,1:group[1]],1,sum)
}else{
F.jt[[j]]<-apply(base[1:nb.actif,(sum(group[1:(j-1)])+1):(sum(group[1:(j-1)])+group[j])],2,sum)
Fi.t[[j]]<-apply(base[,(sum(group[1:(j-1)])+1):(sum(group[1:(j-1)])+group[j])],1,sum)
}
}
if ("f"%in%type.var){
row.w[1:nrow(base)]<-0
for (j in grfrec){
if (!(j%in%num.group.sup)) row.w<-row.w+Fi.t[[j]]
}
}
F..t<-numeric()
for (j in grfrec) F..t[j]<-sum(Fi.t[[j]][1:nb.actif])
for (t in grfrec){
if (t==1) {
base[,1:group[t]]<-sweep(base[,1:group[t]],2,F.jt[[t]],FUN="/")
base[,1:group[t]] <- sweep(base[,1:group[t]],1,Fi.t[[t]]/F..t[t],FUN="-")
base[,1:group[t]] <- sweep(base[,1:group[t]],1,row.w,FUN="/")
}
else {
base[,(sum(group[1:(t-1)])+1):sum(group[1:t])]<-sweep(base[,(sum(group[1:(t-1)])+1):sum(group[1:t])],2,F.jt[[t]],FUN="/")
base[,(sum(group[1:(t-1)])+1):sum(group[1:t])]<-sweep(base[,(sum(group[1:(t-1)])+1):sum(group[1:t])],1,Fi.t[[t]]/F..t[t],FUN="-")
base[,(sum(group[1:(t-1)])+1):sum(group[1:t])]<-sweep(base[,(sum(group[1:(t-1)])+1):sum(group[1:t])],1,row.w,FUN="/")
}
}
row.w <- row.w[1:nb.actif]
}
if (!is.null(ind.sup)) row.w.moy.ec <- c(row.w,rep(0,length(ind.sup)))
else row.w.moy.ec <- row.w
if (is.null(weight.col.mfa)) weight.col.mfa <- rep(1,sum(group.mod))
### Begin handle missing values
if (!is.null(tab.comp)){
group.mod <- tab.comp$call$group.mod
ind.var.group <- tab.comp$call$ind.var
tab.comp <- tab.comp$tab.disj
}
### End handle missing values
for (g in 1:nbre.group) {
aux.base <- as.data.frame(base[, (ind.grpe + 1):(ind.grpe + group[g])])
dimnames(aux.base) <- list(rownames(base),colnames(base)[(ind.grpe + 1):(ind.grpe + group[g])])
if (type[g] == "s") res.separe[[g]] <- PCA(aux.base, ind.sup =ind.sup, scale.unit = TRUE, ncp = ncp, row.w=row.w, graph = FALSE, col.w = weight.col.mfa[(ind.grpe + 1):(ind.grpe + group[g])])
if (type[g] == "c") res.separe[[g]] <- PCA(aux.base, ind.sup =ind.sup, scale.unit = FALSE, ncp = ncp, row.w=row.w,graph = FALSE, col.w = weight.col.mfa[(ind.grpe + 1):(ind.grpe + group[g])])
if (type[g]=="f"||type[g]=="f2"||type[g]=="f3") res.separe[[g]] <- PCA(aux.base, ind.sup =ind.sup, scale.unit = FALSE, ncp = ncp, row.w=row.w,graph = FALSE, col.w = F.jt[[g]]*weight.col.mfa[(ind.grpe + 1):(ind.grpe + group[g])])
if (type[g] == "n") {
for (v in (ind.grpe + 1):(ind.grpe + group[g])) {
if (!is.factor(base[, v])) stop("factors are not defined in the qualitative groups")
}
res.separe[[g]] <- MCA(aux.base, excl = excl[[g]], ind.sup = ind.sup, ncp=ncp, graph = FALSE, row.w=row.w)
}
if (type[g] == "m") res.separe[[g]] <- FAMD(aux.base, ind.sup = ind.sup, ncp=ncp, graph = FALSE, row.w=row.w)
### Begin handle missing values
if (!is.null(tab.comp)){
if (type[g] == "s") res.separe[[g]] <- PCA(tab.comp[,ind.var.group[[g]]],scale.unit=TRUE,row.w=row.w,ind.sup=ind.sup,col.w=weight.col.mfa[(ind.grpe + 1):(ind.grpe + group[g])],graph=FALSE)
if (type[g] == "c") res.separe[[g]] <- PCA(tab.comp[,ind.var.group[[g]]],scale.unit=FALSE,row.w=row.w,ind.sup=ind.sup,col.w=weight.col.mfa[(ind.grpe + 1):(ind.grpe + group[g])],graph=FALSE)
if (type[g] == "n") res.separe[[g]] <- MCA(aux.base, ind.sup = ind.sup, ncp=ncp, graph = FALSE, row.w=row.w,tab.disj=tab.comp[,ind.var.group[[g]]])
if (type[g] == "m") res.separe[[g]] <- FAMD(aux.base, ind.sup = ind.sup, ncp=ncp, graph = FALSE, row.w=row.w,tab.disj=tab.comp[,ind.var.group[[g]]])
}
### End handle missing values
ind.grpe <- ind.grpe + group[g]
}
data <- matrix(0,nbre.ind,0)
ind.grpe <- ind.grpe.mod <- 0
ponderation <- vector(length = sum(group.mod))
poids.bary <- NULL
for (g in 1:nbre.group) {
aux.base <- base[, (ind.grpe + 1):(ind.grpe + group[g]),drop=FALSE]
### Begin handle missing values
if (!is.null(tab.comp)){
if (g==1) aux.base <- tab.comp[,1:group.mod[1]]
else aux.base <- tab.comp[,(cumsum(group.mod)[g-1]+1):cumsum(group.mod)[g],drop=FALSE]
}
### End handle missing values
aux.base <- as.data.frame(aux.base)
colnames(aux.base) <- colnames(base)[(ind.grpe + 1):(ind.grpe + group[g])]
if (type[g] == "s") {
centre.aux.base <- apply(as.data.frame(aux.base), 2, moy.p, row.w.moy.ec)
aux.base <- t(t(as.matrix(aux.base))-centre.aux.base)
ecart.type.aux.base <- apply(as.data.frame(aux.base), 2, ec, row.w.moy.ec)
ecart.type.aux.base[ecart.type.aux.base <= 1e-08] <- 1
aux.base <- t(t(aux.base)/ecart.type.aux.base)
type[g] <- "c"
}
if (type[g] == "c") {
data <- cbind.data.frame(data, aux.base)
ponderation[(ind.grpe.mod + 1):(ind.grpe.mod + group.mod[g])] <- 1/res.separe[[g]]$eig[1,1]
}
if (type[g] == "f"||type[g] == "f2") {
data <- cbind.data.frame(data, aux.base)
ponderation[(ind.grpe.mod+1):(ind.grpe.mod+group[g])]<-F.jt[[g]]/res.separe[[g]]$eig[1,1]
}
if (type[g] == "n") {
### Begin handle missing values
if (!is.null(tab.comp)){
if (g==1) tmp <- tab.comp[,1:group.mod[1]]
else tmp <- tab.comp[,(cumsum(group.mod)[g-1]+1):cumsum(group.mod)[g],drop=FALSE]
} else {
tmp <- tab.disjonctif(aux.base)
group.mod[g] <- ncol(tmp)
}
### End handle missing values
centre.tmp <- apply(tmp, 2, moy.p, row.w.moy.ec)
centre.tmp <- centre.tmp/sum(row.w.moy.ec)
tmp2 <- tmp*(row.w.moy.ec/sum(row.w.moy.ec))
poids.bary <- c(poids.bary,colSums(tmp2))
poids.tmp <- 1-apply(tmp2, 2, sum)
if(!is.null(excl[[g]])) poids.tmp[excl[[g]]] <- 0
ponderation[(ind.grpe.mod + 1):(ind.grpe.mod + group.mod[g])] <- poids.tmp/(res.separe[[g]]$eig[1,1] * group[g])
tmp <- tmp/sum(row.w.moy.ec)
tmp <- t(t(as.matrix(tmp))-centre.tmp)
ecart.type.tmp <- apply(tmp, 2, ec, row.w.moy.ec)
### Pb if the disjunctive table doesn't have only 0 and 1
if (!is.null(tab.comp)) ecart.type.tmp <- sqrt(centre.tmp*sum(row.w.moy.ec) * (1-centre.tmp*sum(row.w.moy.ec) ))/sum(row.w.moy.ec)
### End pb if the disjunctive table doesn't have only 0 and 1
ecart.type.tmp[ecart.type.tmp <= 1e-08] <- 1
tmp <- t(t(as.matrix(tmp))/ecart.type.tmp)
data <- cbind.data.frame(data, as.data.frame(tmp))
}
if (type[g] == "m") {
### Begin handle missing values
if (is.null(tab.comp)){
numAct <- which(sapply(aux.base,is.numeric))
facAct <- which(!sapply(aux.base,is.numeric))
QuantiAct <- as.matrix(aux.base[,numAct,drop=FALSE])
QualiAct <- tab.disjonctif(aux.base[,facAct,drop=FALSE])
group.mod[g] <- ncol(QuantiAct)+ncol(QualiAct)
} else {
if (g==1){
aux <- tab.comp[,1:group.mod[1],drop=FALSE]
} else {
aux <- tab.comp[,(cumsum(group.mod)[g-1]+1):cumsum(group.mod)[g],drop=FALSE]
}
QuantiAct <- aux[,which(colnames(aux)==colnames(QuantiAct))]
QualiAct <- aux[,which(colnames(aux)!=colnames(QuantiAct))]
}
### End handle missing values
centre <- apply(QuantiAct,2,moy.p,row.w.moy.ec)
QuantiAct <- t(t(QuantiAct)-centre)
ecart.type.tmp <- apply(QuantiAct,2,ec,row.w.moy.ec)
QuantiAct <- t(t(QuantiAct)/ecart.type.tmp)
tmp2 <- QualiAct*(row.w.moy.ec/sum(row.w.moy.ec))
poids.bary <- c(poids.bary,colSums(tmp2))
nk_sur_n <- apply(QualiAct, 2, moy.p, row.w.moy.ec)
QualiAct <- t(t(as.matrix(QualiAct))/sqrt(nk_sur_n))
centre.tmp <- apply(QualiAct, 2, moy.p, row.w.moy.ec)
QualiAct <- t(t(as.matrix(QualiAct))-centre.tmp)
ponderation[(ind.grpe.mod + 1):(ind.grpe.mod + group.mod[g])] <- 1/(res.separe[[g]]$eig[1,1])
### Pb if the disjunctive table doesn't have only 0 and 1
# if (!is.null(tab.comp)) ecart.type.tmp <- sqrt(centre*sum(row.w.moy.ec) * (1-centre*sum(row.w.moy.ec)))/sum(row.w.moy.ec)
### End pb if the disjunctive table doesn't have only 0 and 1
# ecart.type.tmp[ecart.type.tmp <= 1e-08] <- 1
data <- cbind.data.frame(data,QuantiAct,QualiAct)
}
## Fin modif
if(!is.null(excl)) ponderation[ponderation == 0] <- 1e-15
ind.grpe <- ind.grpe + group[g]
ind.grpe.mod <- ind.grpe.mod + group.mod[g]
}
data.group.sup.indice <- data.group.sup <- NULL
data.pca <- data
rownames(data.pca) <- rownames(base)
if (!is.null(num.group.sup)){
ponderation.tot <- ponderation
ponderation.group.sup <- NULL
nb.of.var <- 0
supp.quanti <- supp.quali <- NULL
colnames.data.group.sup <- NULL
for (i in 1:nbre.group) {
if (i%in%num.group.sup){
if ((type[i]=="c")||(type[i]=="f")) supp.quanti <- c(supp.quanti,(nb.of.var+1):(nb.of.var+group.mod[i]))
if (type[i]=="n") supp.quali <- c(supp.quali,(1+nb.of.var):(nb.of.var+group.mod[i]))
if (type[i]=="m"){
supp.quanti <- c(supp.quanti,nb.of.var+(1:sum(sapply(base[, (sum(group[1:(i-1)])+1):(sum(group[1:i])),drop=FALSE],is.numeric))))
supp.quali <- c(supp.quali,nb.of.var+(sum(sapply(base[, (sum(group[1:(i-1)])+1):(sum(group[1:i])),drop=FALSE],is.numeric)):(group.mod[i])))
}
if (is.null(data.group.sup)) data.group.sup <- as.data.frame(data[,(1+nb.of.var):(nb.of.var+group.mod[i])])
else data.group.sup <- cbind.data.frame(data.group.sup,data[,(1+nb.of.var):(nb.of.var+group.mod[i])])
if (ncol(data.group.sup)>1) colnames.data.group.sup <- c(colnames.data.group.sup,colnames(data)[(1+nb.of.var):(nb.of.var+group.mod[i])])
else colnames.data.group.sup <- colnames(data)[1+nb.of.var]
ponderation.group.sup <- c(ponderation.group.sup,ponderation[(1+nb.of.var):(nb.of.var+group.mod[i])])
}
nb.of.var <- nb.of.var + group.mod[i]
}
colnames(data.group.sup) <- colnames.data.group.sup
ponderation <- ponderation.tot[-c(supp.quanti,supp.quali)]
data <- data[,-c(supp.quanti,supp.quali)]
data.group.sup.indice <- (ncol(data)+1):(ncol(data)+ncol(data.group.sup))
data.pca <- cbind.data.frame(data,data.group.sup)
}
# modif 2023-01-16
# ncp.tmp <- min(nb.actif-1, ncol(data))
ncp.tmp <- min(nb.actif-1, ncol(data)-sum((group[group.actif])[type[group.actif]=="n"]))
ind.var <- 0
ind.quali <- NULL
for (g in 1:nbre.group) {
if (type[g] == "n") ind.quali <- c(ind.quali, c((ind.var + 1):(ind.var + group[g])))
if (type[g] == "m"){
if (g==1) ind.quali <- which(!sapply(base[, 1:group[1],drop=FALSE],is.numeric))
else ind.quali <- c(ind.quali, ind.var + which(!sapply(base[, (1+sum(group[1:(g-1)])):sum(group[1:g]),drop=FALSE],is.numeric)))
}
ind.var <- ind.var + group[g]
}
aux_quali_sup_indice <- aux_quali_sup <- data.sup <- NULL
if (!is.null(ind.quali)){
aux_quali_sup <- as.data.frame(base[, ind.quali,drop=FALSE])
if (is.null(data.group.sup)) aux_quali_sup_indice <- (ncol(data)+1):(ncol(data)+ncol(aux_quali_sup))
else aux_quali_sup_indice <- (ncol(data)+ncol(data.group.sup)+1):(ncol(data)+ncol(data.group.sup)+ncol(aux_quali_sup))
data.pca <- cbind.data.frame(data.pca,aux_quali_sup)
}
row.w <- row.w[1:nb.actif]
### Begin handle missing values
if ((!is.null(tab.comp))&(any("n"%in%type) || any("m"%in%type))){
data.pca <- data.pca[,-aux_quali_sup_indice]
aux_quali_sup_indice <- NULL
}
### End handle missing values
res.globale <- PCA(data.pca, scale.unit = FALSE, col.w = ponderation, row.w=row.w,ncp = ncp, ind.sup = ind.sup, quali.sup = aux_quali_sup_indice, quanti.sup = data.group.sup.indice, graph = FALSE)
### Begin handle missing values
if ((!is.null(tab.comp))&(any("n"%in%type) || any("m"%in%type))){
if (!is.null(type.var%in%"quali")) {
if (any(type.var%in%c("freq","quanti"))){
res.globale$quali.var$coord <- res.globale$var$coord[-(1:sum(type.var%in%c("freq","quanti"))),]
res.globale$quali.var$cos2 <- res.globale$var$cos2[-(1:sum(type.var%in%c("freq","quanti"))),]
res.globale$quali.var$contrib <- res.globale$var$contrib[-(1:sum(type.var%in%c("freq","quanti"))),]
} else{
res.globale$quali.var$coord <- res.globale$var$coord
res.globale$quali.var$cos2 <- res.globale$var$cos2
res.globale$quali.var$contrib <- res.globale$var$contrib
}
}
res.globale$call$quali.sup$barycentre <- sweep(crossprod(tab.comp[,unlist(ind.var.group[type%in%"n" || type%in%"m"])],as.matrix(data.pca)),1,apply(tab.comp[,unlist(ind.var.group[type%in%"n" || type%in%"m"])],2,sum),FUN="/")
res.globale$quali.sup$coord <- sweep(crossprod(tab.comp[,unlist(ind.var.group[type%in%"n" || type%in%"m"])],res.globale$ind$coord),1,apply(tab.comp[,unlist(ind.var.group[type%in%"n" || type%in%"m"])],2,sum),FUN="/")
}
### End handle missing values
ncp <- min(ncp, nrow(res.globale$eig))
call <- res.globale$call
call$group <- group
call$type <- type
call$ncp <- ncp
call$group.mod <- group.mod
call$num.group.sup <- num.group.sup
call$name.group <- name.group
call$X <- base
call$XTDC <- data
call$nature.group <- nature.group
call$nature.var <- nature.var
call$list.type.var <- list.type.var
contrib.group <- matrix(NA, length(group.actif), ncp)
dimnames(contrib.group) <- list(name.group[group.actif], paste("Dim", c(1:ncp), sep = "."))
dist2.group <- vector(length = length(group.actif))
ind.var <- ind.var.sup <- 0
for (g in 1:length(group.actif)) {
if (group.mod[group.actif[g]]!=1) contrib.group[g, ] <- apply(res.globale$var$contrib[(ind.var + 1):(ind.var + group.mod[group.actif[g]]), 1:ncp]/100, 2, sum)
else contrib.group[g, ] <- res.globale$var$contrib[ind.var + 1, 1:ncp]/100
ind.var <- ind.var + group.mod[group.actif[g]]
dist2.group[g] <- sum((res.separe[[group.actif[g]]]$eig[,1]/res.separe[[group.actif[g]]]$eig[1,1])^2)
}
coord.group <- t(t(contrib.group)*res.globale$eig[1:ncol(contrib.group),1])
cos2.group <- coord.group^2/dist2.group
if (!is.null(num.group.sup)){
coord.group.sup <- matrix(NA, length(num.group.sup), ncp)
dimnames(coord.group.sup) <- list(name.group[num.group.sup], paste("Dim", c(1:ncp), sep = "."))
ind.gc <- 0
for (gc in 1:length(num.group.sup)) {
for (k in 1:ncp){
if (is.null(ind.sup)) coord.group.sup[gc,k] <- funcLg(res.globale$ind$coord[,k,drop=FALSE],data.group.sup[,(ind.gc+1):(ind.gc+group.mod[num.group.sup[gc]]),drop=FALSE],ponderation.x=1/res.globale$eig[k,1],ponderation.y=ponderation.group.sup[(ind.gc+1):(ind.gc+group.mod[num.group.sup[gc]])],wt=row.w/sum(row.w))
else coord.group.sup[gc,k] <- funcLg(res.globale$ind$coord[-ind.sup,k,drop=FALSE],data.group.sup[-ind.sup,(ind.gc+1):(ind.gc+group.mod[num.group.sup[gc]]),drop=FALSE],ponderation.x=1/res.globale$eig[k,1],ponderation.y=ponderation.group.sup[(ind.gc+1):(ind.gc+group.mod[num.group.sup[gc]])],wt=row.w/sum(row.w))
}
ind.gc <- ind.gc + group.mod[num.group.sup[gc]]
}
}
Lg <- matrix(0, nbre.group+1, nbre.group+1)
ind.gl <- 0
for (gl in c(group.actif,num.group.sup)) {
ind.gc <- 0
for (gc in c(group.actif,num.group.sup)) {
if (gc>=gl){
if (is.null(num.group.sup)) {
if (is.null(ind.sup)) Lg[gl, gc] <- Lg[gc, gl] <- funcLg(x=data[,ind.gl + (1:group.mod[gl]),drop=FALSE],y=data[,ind.gc + (1:group.mod[gc]),drop=FALSE],ponderation.x=ponderation[ind.gl + (1:group.mod[gl])],ponderation.y=ponderation[ind.gc + (1:group.mod[gc])],wt=row.w/sum(row.w))
else Lg[gl, gc] <- Lg[gc, gl] <- funcLg(x=data[-ind.sup,ind.gl + (1:group.mod[gl]),drop=FALSE],y=data[-ind.sup,ind.gc + (1:group.mod[gc]),drop=FALSE],ponderation.x=ponderation[ind.gl + (1:group.mod[gl])],ponderation.y=ponderation[ind.gc + (1:group.mod[gc])],wt=row.w/sum(row.w))
} else {
if (is.null(ind.sup)) Lg[gl, gc] <- Lg[gc, gl] <- funcLg(x=cbind.data.frame(data,data.group.sup)[,ind.gl + (1:group.mod[gl]),drop=FALSE],y=cbind.data.frame(data,data.group.sup)[,ind.gc + (1:group.mod[gc]),drop=FALSE],ponderation.x=c(ponderation,ponderation.group.sup)[ind.gl + (1:group.mod[gl])],ponderation.y=c(ponderation,ponderation.group.sup)[ind.gc + (1:group.mod[gc])],wt=row.w/sum(row.w))
else Lg[gl, gc] <- Lg[gc, gl] <- funcLg(x=cbind.data.frame(data,data.group.sup)[-ind.sup,ind.gl +(1:group.mod[gl]),drop=FALSE],y=cbind.data.frame(data,data.group.sup)[-ind.sup,ind.gc + (1:group.mod[gc]),drop=FALSE],ponderation.x=c(ponderation,ponderation.group.sup)[ind.gl +(1:group.mod[gl])],ponderation.y=c(ponderation,ponderation.group.sup)[ind.gc + (1:group.mod[gc])],wt=row.w/sum(row.w))
}
}
ind.gc <- ind.gc + group.mod[gc]
}
ind.gl <- ind.gl + group.mod[gl]
}
Lg[nbre.group+1,] <- Lg[,nbre.group+1] <- apply(Lg[group.actif,],2,sum)/res.globale$eig[1,1]
Lg[nbre.group+1,nbre.group+1] <- sum(Lg[group.actif,nbre.group+1])/res.globale$eig[1,1]
dist2.group <- diag(Lg)
if (!is.null(num.group.sup)){
dist2.group.sup <- dist2.group[num.group.sup]
dist2.group <- dist2.group[-num.group.sup]
}
RV <- sweep(Lg, 2, sqrt(diag(Lg)), "/")
RV <- sweep(RV, 1, sqrt(diag(Lg)), "/")
rownames(Lg) <- colnames(Lg) <- rownames(RV) <- colnames(RV) <- c(name.group,"MFA")
data.partiel <- vector(mode = "list", length = nbre.group)
names(data.partiel) <- name.group
ind.col <- 0
for (g in 1:nbre.group) {
if (g%in%group.actif){
data.partiel[[g]] <- as.data.frame(matrix(res.globale$call$centre, nrow(data), ncol(data), byrow = TRUE, dimnames = dimnames(data)))
data.partiel[[g]][, (ind.col + 1):(ind.col + group.mod[g])] <- data[, (ind.col + 1):(ind.col + group.mod[g])]
ind.col <- ind.col + group.mod[g]
}
}
res.ind.partiel <- vector(mode = "list", length = nbre.group)
names(res.ind.partiel) <- name.group
for (g in group.actif){
Xis <- t(t(as.matrix(data.partiel[[g]]))-res.globale$call$centre)
Xis <- t(t(Xis)/res.globale$call$ecart.type)
coord.ind.sup <- length(group.actif) * as.matrix(Xis)
coord.ind.sup <- t(t(coord.ind.sup)*res.globale$call$col.w)
coord.ind.sup <- crossprod(t(coord.ind.sup),res.globale$svd$V)
res.ind.partiel[[g]]$coord.sup <- coord.ind.sup
}
cor.grpe.fact <- as.matrix(matrix(NA, length(group.actif), ncp))
colnames(cor.grpe.fact) <- paste("Dim", c(1:ncp), sep = ".")
rownames(cor.grpe.fact) <- name.group[group.actif]
for (f in 1:ncp) {
for (g in 1:length(group.actif)) cor.grpe.fact[g, f] <- cov.wt(cbind.data.frame(res.ind.partiel[[group.actif[g]]]$coord.sup[1:nb.actif, f], res.globale$ind$coord[, f]),wt=row.w/sum(row.w),method="ML",cor=TRUE)$cor[1,2]
}
It <- vector(length = ncp)
for (g in group.actif) It <- It + apply(res.ind.partiel[[g]]$coord.sup[1:nb.actif,]^2*row.w,2,sum)
rap.inertie <- apply(res.globale$ind$coord^2*row.w,2,sum) * length(group.actif) / It
res.groupes <- list(Lg = Lg, RV = RV, coord = coord.group[, 1:ncp], contrib = contrib.group[, 1:ncp] * 100, cos2 = cos2.group[, 1:ncp], dist2 = dist2.group[-length(dist2.group)], correlation = cor.grpe.fact[, 1:ncp])
if (!is.null(num.group.sup)){
res.groupes$coord.sup <- coord.group.sup[,1:ncp,drop=FALSE]
res.groupes$cos2.sup <- coord.group.sup[,1:ncp,drop=FALSE]^2/dist2.group.sup
res.groupes$dist2.sup <- dist2.group.sup
}
####CHANGED THIS!!!! ------------------
# OLD#
# nom.ligne <- NULL
# for (i in 1:nb.actif) nom.ligne <- c(nom.ligne, paste(rownames(base)[i], name.group[group.actif], sep = "."))
# NEW#
nom.ligne <- c(sapply( rownames(base)[1:nb.actif], paste, name.group[group.actif], sep = "."))
tmp <- array(0,dim=c(nrow(res.globale$ind$coord),ncp,length(group.actif)))
for (g in 1:length(group.actif)) tmp[,,g] <- (res.ind.partiel[[group.actif[g]]]$coord.sup[1:nb.actif,1:ncp,drop=FALSE]-res.globale$ind$coord[,1:ncp,drop=FALSE])^2/length(group.actif)
## Ajour Avril 2011
tmp <- tmp*row.w
variab.auxil <- apply(tmp,2,sum) ## attention, array
tmp <- sweep(tmp,2,variab.auxil,FUN="/") * 100 ## attention, array
inertie.intra.ind <- apply(tmp,c(1,2),sum)
####CHANGED THIS!!!! --------------------
#OLD#
# inertie.intra.ind.partiel <- as.data.frame(matrix(NA, (nb.actif * length(group.actif)), ncp.tmp))
# for (i in 1:nb.actif) inertie.intra.ind.partiel[((i - 1) * length(group.actif) + 1):(i * length(group.actif)), ] <- t(tmp[i,1:ncp,])
#NEW#
inertie.intra.ind.partiel <- data.frame(do.call( rbind, lapply(1:dim(tmp)[1], function(x) t(tmp[x, 1:ncp, ]))))
inertie.intra.ind.partiel <- as.matrix(inertie.intra.ind.partiel)
# xxx <- as.data.frame(matrix(NA, (nb.actif * length(group.actif)), ncp))
# colnames(inertie.intra.ind.partiel) <- colnames(xxx)
rownames(inertie.intra.ind) <- rownames(res.globale$ind$coord)
rownames(inertie.intra.ind.partiel) <- nom.ligne
colnames(inertie.intra.ind) <- colnames(inertie.intra.ind.partiel) <- paste("Dim", c(1:ncp), sep = ".")
tab.partial.axes <- matrix(NA, nb.actif, ncp * nbre.group)
rownames(tab.partial.axes) <- rownames(data)[1:nb.actif]
nom.axes <- paste("Dim", c(1:ncp), sep = "")
nom.col <- NULL
debut <- 0
for (g in 1:nbre.group) {
nom.col <- c(nom.col, paste(nom.axes, name.group[g],sep="."))
nbcol <- min(ncp, ncol(res.separe[[g]]$ind$coord))
tab.partial.axes[, (debut + 1):(debut + nbcol)] <- res.separe[[g]]$ind$coord[,1:nbcol]
debut <- debut + ncp
}
colnames(tab.partial.axes) <- nom.col
indice.col.NA <- which(!is.na(tab.partial.axes[1, ]))
tab.partial.axes <- tab.partial.axes[, indice.col.NA]
centre <- apply(tab.partial.axes, 2, moy.p, res.globale$call$row.w)
tab.partial.axes <- t(t(tab.partial.axes)-centre)
ecart.type <- apply(tab.partial.axes, 2, ec, res.globale$call$row.w)
ecart.type[ecart.type <= 1e-08] <- 1
tab.partial.axes <- t(t(tab.partial.axes)/ecart.type)
coord.res.partial.axes <- t(tab.partial.axes*res.globale$call$row.w)
coord.res.partial.axes <- crossprod(t(coord.res.partial.axes),res.globale$svd$U[,1:ncp])
contrib.res.partial.axes <- coord.res.partial.axes*0
debut <- 0
for (g in 1:nbre.group) {
nbcol <- min(ncp, ncol(res.separe[[g]]$ind$coord))
if (g %in% group.actif) contrib.res.partial.axes[(debut + 1):(debut + nbcol),] <- coord.res.partial.axes[(debut + 1):(debut + nbcol),]^2*res.separe[[g]]$eig[1:nbcol,1]/res.separe[[g]]$eig[1,1]
debut <- debut + nbcol
}
contrib.res.partial.axes <- t(t(contrib.res.partial.axes)/apply(contrib.res.partial.axes,2,sum)) *100
sigma <- apply(tab.partial.axes, 2, ec, res.globale$call$row.w)
cor.res.partial.axes <- coord.res.partial.axes/sigma
colnames(coord.res.partial.axes) <- paste("Dim", c(1:ncol(coord.res.partial.axes)), sep = ".")
dimnames(contrib.res.partial.axes) <- dimnames(cor.res.partial.axes) <- dimnames (coord.res.partial.axes)
summary.n <- as.data.frame(matrix(NA, 0, 4))
colnames(summary.n) <- c("group", "variable", "modalite", "effectif")
summary.c <- as.data.frame(matrix(NA, 0, 6))
colnames(summary.c) <- c("group", "variable", "moyenne", "ecart.type", "minimum", "maximum")
for (g in 1:nbre.group) {
if ((type[g] == "c")||(type[g]=="f")) {
statg <- as.data.frame(matrix(NA, ncol(res.separe[[g]]$call$X), 6))
colnames(statg) <- c("group", "variable", "moyenne", "ecart.type", "minimum", "maximum")
statg[, "group"] <- rep(g, nrow(statg))
statg[, "variable"] <- colnames(res.separe[[g]]$call$X)
statg[, "moyenne"] <- res.separe[[g]]$call$centre
if (!is.null(res.separe[[g]]$call$ecart.type)) statg[, "ecart.type"] <- res.separe[[g]]$call$ecart.type
statg[, "minimum"] <- apply(res.separe[[g]]$call$X, 2, min)
statg[, "maximum"] <- apply(res.separe[[g]]$call$X, 2, max)
if (!is.null(res.separe[[g]]$call$ecart.type)) statg[, -c(1, 2)] <- round(statg[, -c(1, 2)], digits = 2)
else statg[, -c(1, 2,4)] <- round(statg[, -c(1, 2,4)], digits = 2)
summary.c <- rbind(summary.c, statg)
}
if (type[g]=="n") {
if(is.null(excl[[g]])) statg <- as.data.frame(matrix(NA, length(res.separe[[g]]$call$marge.col), 4))
else statg <- as.data.frame(matrix(NA, length(res.separe[[g]]$call$marge.col[-excl[[g]]]), 4))
colnames(statg) <- c("group", "variable", "modalite", "effectif")
statg[, "group"] <- rep(g, nrow(statg))
res.separe[[g]]$call$X <- as.data.frame(res.separe[[g]]$call$X)
nb.var <- ncol(res.separe[[g]]$call$X)
nb.mod <- NULL
nom.mod <- NULL
nb.mod.orig <- NULL
nb.mod.high <- 0
for (v in 1:nb.var) {
if(is.null(excl[[g]])) {
nb.mod <- c(nb.mod, nlevels(res.separe[[g]]$call$X[, v]))
} else {
nb.mod.orig <- c(nb.mod.orig, nlevels(res.separe[[g]]$call$X[, v]))
nb.mod.low <- nb.mod.high
nb.mod.high <- nb.mod.high + nlevels(res.separe[[g]]$call$X[, v])
nb.mod.rm.select <- (nb.mod.low < res.separe[[g]]$call$excl & res.separe[[g]]$call$excl <= nb.mod.high)
nb.mod.rm <- res.separe[[g]]$call$excl[nb.mod.rm.select]
nb.mod <- c(nb.mod, (nb.mod.orig[v]-length(nb.mod.rm)))
}
nom.mod <- c(nom.mod, levels(res.separe[[g]]$call$X[, v]))
}
if(!is.null(excl[[g]])) nom.mod <- nom.mod[-excl[[g]]]
statg[, "variable"] <- rep(colnames(res.separe[[g]]$call$X), nb.mod)
statg[, "modalite"] <- nom.mod
if(is.null(excl[[g]])) statg[, "effectif"] <- res.separe[[g]]$call$marge.col * nbre.ind * nb.var
else statg[, "effectif"] <- res.separe[[g]]$call$marge.col[-excl[[g]]] * nbre.ind * nb.var
summary.n <- rbind(summary.n, statg)
}
###not managed
if (type[g]=="m") {
nbvar.num <- sum(sapply(res.separe[[g]]$call$X,is.numeric))
statg <- as.data.frame(matrix(NA, nbvar.num, 6))
colnames(statg) <- c("group", "variable", "moyenne", "ecart.type", "minimum", "maximum")
statg[, "group"] <- rep(g, nrow(statg))
statg[, "variable"] <- colnames(res.separe[[g]]$call$X[,which(sapply(res.separe[[g]]$call$X,is.numeric)),drop=FALSE])
statg[, "moyenne"] <- res.separe[[g]]$call$centre[1:nbvar.num]
if (!is.null(res.separe[[g]]$call$ecart.type)) statg[, "ecart.type"] <- res.separe[[g]]$call$ecart.type[1:nbvar.num]
statg[, "minimum"] <- apply(res.separe[[g]]$call$X[,which(sapply(res.separe[[g]]$call$X,is.numeric)),drop=FALSE], 2, min)
statg[, "maximum"] <- apply(res.separe[[g]]$call$X[,which(sapply(res.separe[[g]]$call$X,is.numeric)),drop=FALSE], 2, max)
if (!is.null(res.separe[[g]]$call$ecart.type)) statg[, -c(1, 2)] <- round(statg[, -c(1, 2)], digits = 2)
else statg[, -c(1, 2,4)] <- round(statg[, -c(1, 2,4)], digits = 2)
summary.c <- rbind(summary.c, statg)
if(is.null(excl[[g]])) statg <- as.data.frame(matrix(NA, length(res.separe[[g]]$call$prop), 4))
else statg <- as.data.frame(matrix(NA, length(res.separe[[g]]$call$prop[-excl[[g]]]), 4))
colnames(statg) <- c("group", "variable", "modalite", "effectif")
statg[, "group"] <- rep(g, nrow(statg))
nb.var <- sum(!sapply(res.separe[[g]]$call$X,is.numeric))
nb.mod <- unlist(sapply(res.separe[[g]]$call$X[,which(!sapply(res.separe[[g]]$call$X,is.numeric)),drop=FALSE],nlevels))
nom.mod <- unlist(sapply(res.separe[[g]]$call$X[,which(!sapply(res.separe[[g]]$call$X,is.numeric)),drop=FALSE],levels))
if(!is.null(excl[[g]])){
nb.mod <- nb.mod - length(excl[[g]])
nom.mod <- nom.mod[-excl[[g]]]
}
statg[, "variable"] <- rep(colnames(res.separe[[g]]$call$X[,which(!sapply(res.separe[[g]]$call$X,is.numeric)),drop=FALSE]), nb.mod)
statg[, "modalite"] <- nom.mod
if(is.null(excl[[g]])) statg[, "effectif"] <- res.separe[[g]]$call$prop * nbre.ind
else statg[, "effectif"] <- res.separe[[g]]$call$marge.col[-excl[[g]]] * nbre.ind
summary.n <- rbind(summary.n, statg)
}
}
eig <- res.globale$eig[1:ncp.tmp,]
## CHANGED THIS!!!! ---------------
# nom.ligne <- NULL
# for (i in 1:nbre.ind) {
# ind.tmp <- rownames(base)[i]
# nom.ligne <- c(nom.ligne, paste(ind.tmp, name.group[group.actif], sep = "."))
# }
nom.ligne <- c( sapply( rownames(base), paste, name.group[group.actif], sep = "."))
coord.ind.partiel <- matrix(NA, (nbre.ind * length(group.actif)), ncp)
rownames(coord.ind.partiel) <- nom.ligne
colnames(coord.ind.partiel) <- paste("Dim", c(1:ncp), sep = ".")
coord.ind <- rbind(res.globale$ind$coord[, 1:ncp,drop=FALSE],res.globale$ind.sup$coord[, 1:ncp,drop=FALSE])
cos2.ind <- rbind(res.globale$ind$cos2[, 1:ncp,drop=FALSE],res.globale$ind.sup$cos2[, 1:ncp,drop=FALSE])
contrib.ind <- res.globale$ind$contrib[, 1:ncp,drop=FALSE]
liste.ligne <- seq(1, nbre.ind * length(group.actif), by = length(group.actif))
for (g in 1:length(group.actif)) coord.ind.partiel[liste.ligne+g-1, ] <- res.ind.partiel[[group.actif[g]]]$coord.sup[, 1:ncp,drop=FALSE]
if (!is.null(ind.sup)) {
res.ind.sup <- list(coord = coord.ind[(nb.actif+1):nrow(coord.ind),,drop=FALSE], cos2 = cos2.ind[(nb.actif+1):nrow(coord.ind),,drop=FALSE], coord.partiel = coord.ind.partiel[(length(group.actif)*nb.actif+1):nrow(coord.ind.partiel),,drop=FALSE])
res.ind <- list(coord = coord.ind[1:nb.actif,,drop=FALSE], contrib = contrib.ind, cos2 = cos2.ind[1:nb.actif,,drop=FALSE], within.inertia = inertie.intra.ind[1:nb.actif,1:ncp,drop=FALSE], coord.partiel = coord.ind.partiel[1:(length(group.actif)*nb.actif),,drop=FALSE], within.partial.inertia = inertie.intra.ind.partiel[1:(length(group.actif)*nb.actif),1:ncp,drop=FALSE] )
}
else res.ind <- list(coord = coord.ind, contrib = contrib.ind, cos2 = cos2.ind, within.inertia = inertie.intra.ind[,1:ncp,drop=FALSE], coord.partiel = coord.ind.partiel, within.partial.inertia = inertie.intra.ind.partiel[,1:ncp,drop=FALSE])
res.quali.var <- res.quali.var.sup <- NULL
bool.act <- FALSE
bool.sup <- FALSE
if (!is.null(ind.quali)) {
coord.quali <- res.globale$quali.sup$coord[, 1:ncp,drop=FALSE]
cos2.quali <- res.globale$quali.sup$cos2[, 1:ncp,drop=FALSE]
val.test.quali <- res.globale$quali.sup$v.test[, 1:ncp,drop=FALSE]
contrib.quali <- coord.quali * 0
commun <- intersect(rownames(res.globale$var$contrib),rownames(contrib.quali))
if (!is.null(commun)) contrib.quali[commun,] <- res.globale$var$contrib[commun,1:ncp,drop=FALSE]
barycentre <- res.globale$call$quali.sup$barycentre
coord.quali.partiel <- matrix(NA, (nrow(barycentre) * length(group.actif)), ncp)
nom.ligne.bary <- NULL
for (q in 1:nrow(barycentre)) {
ind.tmp <- rownames(barycentre)[q]
nom.ligne.bary <- c(nom.ligne.bary, paste(ind.tmp, name.group[group.actif], sep = "."))
}
rownames(coord.quali.partiel) <- nom.ligne.bary
liste.ligne <- seq(1, (nrow(barycentre) * length(group.actif) ), by = length(group.actif))
inertie.intra.cg.partiel <- matrix(NA, (nrow(barycentre) * length(group.actif) ), ncp)
tmp <- array(0,dim=c(nrow(res.globale$quali.sup$coord),ncp,length(group.actif)))
ind.col <- 0
for (g in 1:length(group.actif)) {
cg.partiel <- as.data.frame(matrix(res.globale$call$centre[sum(group.mod[group.actif[1:length(group.actif)]])], nrow(barycentre), sum(group.mod[group.actif[1:length(group.actif)]]), byrow = TRUE, dimnames = dimnames(barycentre[,1:sum(group.mod[group.actif[1:length(group.actif)]]),drop=FALSE])))
cg.partiel[, (ind.col + 1):(ind.col + group.mod[group.actif[g]])] <- barycentre[, (ind.col + 1):(ind.col + group.mod[group.actif[g]])]
ind.col <- ind.col + group.mod[group.actif[g]]
Xis <- t((t(cg.partiel)-res.globale$call$centre)/res.globale$call$ecart.type)
coord.quali.sup <- length(group.actif) * as.matrix(Xis)
coord.quali.sup <- t(t(coord.quali.sup)*res.globale$call$col.w)
coord.quali.sup <- crossprod(t(coord.quali.sup),res.globale$svd$V)
coord.quali.partiel[liste.ligne + g - 1, ] <- coord.quali.sup[,1:ncp]
tmp[,,g] <- (coord.quali.sup[,1:ncp,drop=FALSE] - res.globale$quali.sup$coord[,1:ncp,drop=FALSE])^2 / length(group.actif)
}
colnames(coord.quali.partiel) <- paste("Dim", 1:ncp, sep = ".")
tmp <- sweep(tmp,2,variab.auxil,FUN="/") * 100 ### attention array
### modif mais attention, si changement dans PCA, remettre ?
## tmp <- sweep(tmp,1,res.globale$call$quali.sup$nombre,FUN="*")
tmp <- sweep(tmp,1,poids.bary*sum(row.w),FUN="*") ### attention array
inertie.intra.cg <- apply(tmp,c(1,2),sum)
for (i in 1:nrow(barycentre)) inertie.intra.cg.partiel[((i - 1) * length(group.actif) + 1):(i * length(group.actif)), ] <- t(tmp[i,1:ncp,])
rownames(inertie.intra.cg) <- rownames(res.globale$quali.sup$coord)
rownames(inertie.intra.cg.partiel) <- nom.ligne.bary
colnames(inertie.intra.cg) <- colnames(inertie.intra.cg.partiel) <- paste("Dim", c(1:ncp), sep = ".")
ind.col <- 0
ind.col.act <- NULL
ind.col.sup <- NULL
ind.excl <- NULL
ind.excl.act <- NULL
###not managed
for (g in 1:nbre.group) {
if (type[g] =="n" | type[g]=="m"){
if (g%in%num.group.sup) ind.col.sup <- c(ind.col.sup, ind.col+(1:(group.mod[g]-sum(list.type.var[[g]]=="quanti.sup"))))
else ind.col.act <- c(ind.col.act, ind.col+(1:(group.mod[g]-sum(list.type.var[[g]]=="quanti"))))
if(!is.null(excl[[g]])) {
ind.excl <- ind.col + excl[[g]]
ind.excl.act <- c(ind.excl.act, ind.excl)
}
ind.col <- ind.col + group.mod[g]-sum(list.type.var[[g]]=="quanti")-sum(list.type.var[[g]]=="quanti.sup")
}
}
if(!is.null(ind.excl.act)) ind.col.act <- ind.col.act[-ind.excl.act]
if (!is.null(ind.col.sup)) {
coord.quali.sup <- coord.quali[ind.col.sup,,drop=FALSE]
cos2.quali.sup <- cos2.quali[ind.col.sup,,drop=FALSE]
val.test.quali.sup <- val.test.quali[ind.col.sup,,drop=FALSE]
coord.quali.partiel.sup <- coord.quali.partiel[unlist(lapply(ind.col.sup, function(k) seq(length(group.actif)*(k-1)+1,length=length(group.actif)))),]
inertie.intra.cg.sup <- inertie.intra.cg[ind.col.sup,1:ncp]
inertie.intra.cg.partiel.sup <- inertie.intra.cg.partiel[unlist(lapply(ind.col.sup, function(k) seq(length(group.actif)*(k-1)+1,length=length(group.actif)))),1:ncp]
bool.sup <- TRUE
}
if (!is.null(ind.col.act)) {
coord.quali.act <- coord.quali[ind.col.act,,drop=FALSE]
contrib.quali.act <- contrib.quali[ind.col.act,,drop=FALSE]
val.test.quali.act <- NULL
if (is.null(tab.comp)){
cos2.quali.act <- cos2.quali[ind.col.act,,drop=FALSE]
val.test.quali.act <- val.test.quali[ind.col.act,,drop=FALSE]
} else {
cos2.quali.act <- res.globale$quali.var$cos2
}
coord.quali.partiel.act <- coord.quali.partiel[unlist(lapply(ind.col.act, function(k) seq(length(group.actif)*(k-1)+1,length=length(group.actif)))),]
inertie.intra.cg.act <- inertie.intra.cg[ind.col.act,1:ncp]
inertie.intra.cg.partiel.act <- inertie.intra.cg.partiel[unlist(lapply(ind.col.act, function(k) seq(length(group.actif)*(k-1)+1,length=length(group.actif)))),1:ncp]
bool.act <- TRUE
}
if (bool.act) res.quali.var <- list(coord = coord.quali.act, contrib = contrib.quali.act, cos2 = cos2.quali.act, v.test = val.test.quali.act, coord.partiel = coord.quali.partiel.act, within.inertia = inertie.intra.cg.act, within.partial.inertia = inertie.intra.cg.partiel.act)
if (bool.sup) res.quali.var.sup <- list(coord = coord.quali.sup, cos2 = cos2.quali.sup, v.test = val.test.quali.sup, coord.partiel = coord.quali.partiel.sup, within.inertia = inertie.intra.cg.sup, within.partial.inertia = inertie.intra.cg.partiel.sup)
}
indice.quanti <- NULL
indice.freq <- NULL
num.tmp <- 0
for (g in group.actif) {
if (type[g] == "c") indice.quanti <- c(indice.quanti, c((num.tmp + 1):(num.tmp + group.mod[g])))
if (type[g] == "m"){
if (g==1) indice.quanti <- indice.quanti <- c(indice.quanti,c((num.tmp+1):(num.tmp+sum(sapply(base[,1:group[1],drop=FALSE],is.numeric)))))
else indice.quanti <- c(indice.quanti, c((num.tmp+1):(num.tmp+sum(sapply(base[,(sum(group[1:(g-1)])+1):sum(group[1:g]),drop=FALSE],is.numeric)))))
}
if (type[g] == "f") indice.freq <- c(indice.freq, c((num.tmp + 1):(num.tmp + group.mod[g])))
num.tmp <- num.tmp + group.mod[g]
}
res.quanti.var <- NULL
if (!is.null(indice.quanti)){
coord.quanti.var <- res.globale$var$coord[indice.quanti,1:ncp,drop=FALSE]
cos2.quanti.var <- res.globale$var$cos2[indice.quanti, 1:ncp,drop=FALSE]
contrib.quanti.var <- res.globale$var$contrib[indice.quanti, 1:ncp,drop=FALSE]
cor.quanti.var <- res.globale$var$cor[indice.quanti, 1:ncp,drop=FALSE]
res.quanti.var <- list(coord = coord.quanti.var, contrib = contrib.quanti.var, cos2 = cos2.quanti.var, cor = cor.quanti.var)
}
res.freq <- NULL
if (!is.null(indice.freq)){
coord.freq <- res.globale$var$coord[indice.freq,1:ncp,drop=FALSE]
cos2.freq <- res.globale$var$cos2[indice.freq, 1:ncp,drop=FALSE]
contrib.freq <- res.globale$var$contrib[indice.freq, 1:ncp,drop=FALSE]
res.freq <- list(coord = coord.freq, contrib = contrib.freq, cos2 = cos2.freq)
}
res.quanti.var.sup <- NULL
res.freq.sup <- NULL
if (!is.null(num.group.sup)){
num.tmp <- 0
indice.quanti <- NULL
indice.freq <- NULL
for (g in num.group.sup) {
if (type[g] == "c") indice.quanti <- c(indice.quanti, num.tmp + (1:group.mod[g]))
if (type[g] == "m") indice.quanti <- c(indice.quanti, num.tmp + (1:sum(list.type.var[[g]]=="quanti.sup")))
if (type[g]=="f") indice.freq <- c(indice.freq, c((num.tmp + 1):(num.tmp + group.mod[g])))
num.tmp <- num.tmp + group.mod[g]
}
if (!is.null(indice.quanti)){
coord.quanti.var.sup <- res.globale$quanti.sup$coord[indice.quanti,1:ncp,drop=FALSE]
cos2.quanti.var.sup <- res.globale$quanti.sup$cos2[indice.quanti, 1:ncp,drop=FALSE]
cor.quanti.var.sup <- res.globale$quanti.sup$cor[indice.quanti, 1:ncp,drop=FALSE]
res.quanti.var.sup <- list(coord = coord.quanti.var.sup, cos2 = cos2.quanti.var.sup, cor = cor.quanti.var.sup)
}
if (!is.null(indice.freq)){
coord.freq.sup <- res.globale$quanti.sup$coord[indice.freq,1:ncp,drop=FALSE]
cos2.freq.sup <- res.globale$quanti.sup$cos2[indice.freq, 1:ncp,drop=FALSE]
res.freq.sup <- list(coord = coord.freq.sup, cos2 = cos2.freq.sup)
}
}
aux <- res.separe[[1]]$ind$coord
name.aux <- paste(colnames(res.separe[[1]]$ind$coord),name.group[1],sep=".")
for (g in 2:nbre.group) {
aux <- cbind(aux,res.separe[[g]]$ind$coord)
name.aux <- c(name.aux,paste(colnames(res.separe[[g]]$ind$coord),name.group[g],sep="."))
}
cor.partial.axes <- cov.wt(aux,wt=row.w/sum(row.w),method="ML",cor=TRUE)$cor
dimnames(cor.partial.axes) <- list(name.aux,name.aux)
res.partial.axes <- list(coord = coord.res.partial.axes[, 1:ncp], cor = cor.res.partial.axes[, 1:ncp], contrib = contrib.res.partial.axes[, 1:ncp], cor.between = cor.partial.axes)
resultats <- list(separate.analyses = res.separe, eig = eig, group = res.groupes,
inertia.ratio = rap.inertie[1:ncp], ind = res.ind)
if (!is.null(ind.sup)) resultats$ind.sup <- res.ind.sup
if (!is.null(c(res.quanti.var,res.quanti.var.sup))) resultats$summary.quanti <- summary.c
if (!is.null(c(bool.act,bool.sup))) resultats$summary.quali <- summary.n
if (!is.null(res.quanti.var)) resultats$quanti.var <- res.quanti.var
if (!is.null(res.quanti.var.sup)) resultats$quanti.var.sup <- res.quanti.var.sup
if (!is.null(res.freq)) resultats$freq <- res.freq
if (!is.null(res.freq.sup)) resultats$freq.sup <- res.freq.sup
if (bool.act) resultats$quali.var <- res.quali.var
if (bool.sup) resultats$quali.var.sup <- res.quali.var.sup
resultats$partial.axes <- res.partial.axes
resultats$call <- call
resultats$call$call <- match.call()
resultats$global.pca <- res.globale
class(resultats) <- c("MFA", "list")
if (graph & (ncp>1)){
if (bool.act | bool.sup){
cg.plot.partial <- NULL
if (!is.null(resultats["quali.var"]$quali.var)){
max.inertia <- order(apply(resultats$quali.var$within.inertia[,1:2],1,sum))
cg.plot.partial <- rownames(resultats$quali.var$coord)[max.inertia[1:length(max.inertia)]]
}
if (!is.null(resultats$quali.var.sup)){
max.inertia <- order(apply(resultats$quali.var.sup$within.inertia[,1:2],1,sum))
cg.plot.partial <- c(cg.plot.partial,rownames(resultats$quali.var.sup$coord)[max.inertia[1:length(max.inertia)]])
}
print(plot.MFA(resultats,choix="ind",invisible="ind",partial=cg.plot.partial,habillage="group",axes=axes,new.plot=TRUE))
}
max.inertia <- order(apply(resultats$ind$within.inertia[,1:2],1,sum))
print(plot.MFA(resultats,choix="axes",habillage="group",axes=axes,new.plot=TRUE,shadowtext=TRUE))
print(plot.MFA(resultats,choix="ind",invisible="quali",partial=rownames(resultats$ind$coord)[max.inertia[c(1:2,nrow(resultats$ind$coord)-1,nrow(resultats$ind$coord))]],habillage="group",axes=axes,new.plot=TRUE))
if ("c"%in%type) print(plot.MFA(resultats,choix="var",habillage="group",axes=axes,new.plot=TRUE,shadowtext=TRUE))
if ("f"%in%type) print(plot.MFA(resultats,choix="freq",habillage="group",axes=axes,new.plot=TRUE))
print(plot.MFA(resultats,choix="ind",invisible="quali",habillage = "ind",axes=axes,new.plot=TRUE,col.hab=1+3*(1:nbre.ind)%in%ind.sup))
print(plot.MFA(resultats,choix="group",axes=axes,new.plot=TRUE))
}
return(resultats)
}
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MFA <- function (base, group, type = rep("s",length(group)), excl = NULL, ind.sup = NULL, ncp = 5, name.group = NULL, num.group.sup = NULL, graph = TRUE, weight.col.mfa = NULL, row.w = NULL, axes=c(1,2),tab.comp=NULL){
moy.p <- function(V, poids) {
res <- sum(V * poids,na.rm=TRUE)/sum(poids[!is.na(V)])
}
ec <- function(V, poids) {
res <- sqrt(sum(V^2 * poids,na.rm=TRUE)/sum(poids[!is.na(V)]))
}
funcLg <- function (x, y, ponderation.x, ponderation.y, wt = rep(1/nrow(x), nrow(x)), cor = FALSE) {
if (is.data.frame(x)) x <- as.matrix(x)
else if (!is.matrix(x)) stop("'x' must be a matrix or a data frame")
if (is.data.frame(y)) y <- as.matrix(y)
else if (!is.matrix(y)) stop("'y' must be a matrix or a data frame")
if (!all(is.finite(x))) stop("'x' must contain finite values only")
if (!all(is.finite(y))) stop("'y' must contain finite values only")
s <- sum(wt)
wt <- wt/s
center <- colSums(wt * x)
x <- sqrt(wt) * t(t(sweep(x, 2, center, check.margin = FALSE))*sqrt(ponderation.x))
center <- colSums(wt * y)
y <- sqrt(wt) * t(t(sweep(y, 2, center, check.margin = FALSE))*sqrt(ponderation.y))
Lg <- 0
for (i in 1:ncol(x)) Lg <- Lg+sum(crossprod(x[,i],y)^2)
Lg
}
if (!is.null(excl) & "m"%in%type) stop("Excluding categories is not allowed when some groups are mixed")
if (!is.null(tab.comp)){
if (!is.null(weight.col.mfa)) stop("Weightings on the variables are not allowed with the tab.comp argument")
}
if (is.null(rownames(base))) rownames(base) <- 1:nrow(base)
if (is.null(colnames(base))) colnames(base) <- paste("V",1:ncol(base),sep="")
base <- as.data.frame(base)
is.quali <- which(!unlist(lapply(base,is.numeric)))
base[,is.quali] <- lapply(base[,is.quali,drop=FALSE],as.factor)
base <- droplevels(base)
nature.group <- NULL
nbre.group <- length(group)
for (i in 1:nbre.group){
if ((type[i] == "n")&&(!(i%in%num.group.sup))) nature.group <- c(nature.group,"quali")
if ((type[i] == "n")&&(i%in%num.group.sup)) nature.group <- c(nature.group,"quali.sup")
if (((type[i] == "s")||(type[i] == "c"))&&(!(i%in%num.group.sup))) nature.group <- c(nature.group,"quanti")
if (((type[i] == "s")||(type[i] == "c"))&&(i%in%num.group.sup)) nature.group <- c(nature.group,"quanti.sup")
if (((type[i] == "f")||(type[i] == "f2"))&&(!(i%in%num.group.sup))) nature.group <- c(nature.group,"contingency")
if (((type[i] == "f")||(type[i] == "f2"))&&(i%in%num.group.sup)) nature.group <- c(nature.group,"contingency.sup")
if ((type[i] == "m")&&(!(i%in%num.group.sup))) nature.group <- c(nature.group,"mixed")
if ((type[i] == "m")&&(i%in%num.group.sup)) nature.group <- c(nature.group,"mixed.sup")
}
# nature.var <- rep(nature.group,times=group)
list.type.var <- vector(mode = "list", length = nbre.group)
for (i in 1:nbre.group){
if ((type[i] == "n")&&(!(i%in%num.group.sup))) list.type.var[[i]] <- rep("quali",group[i])
if ((type[i] == "n")&&(i%in%num.group.sup)) list.type.var[[i]] <- rep("quali.sup",group[i])
if (((type[i] == "s")||(type[i] == "c"))&&(!(i%in%num.group.sup))) list.type.var[[i]] <- rep("quanti",group[i])
if (((type[i] == "s")||(type[i] == "c"))&&(i%in%num.group.sup)) list.type.var[[i]] <- rep("quanti.sup",group[i])
if (((type[i] == "f")||(type[i] == "f2")||(type[i] == "f3"))&&(!(i%in%num.group.sup))) list.type.var[[i]] <- rep(type[i],group[i])
if (((type[i] == "f")||(type[i] == "f2")||(type[i] == "f3"))&&(i%in%num.group.sup)) list.type.var[[i]] <- rep(paste(type[i],"sup",sep="_"),group[i])
if ((type[i] == "m")&&(!(i%in%num.group.sup))){
if (i==1) list.type.var[[i]] <- ifelse(sapply(base[,1:group[1]],is.numeric),"quanti","quali")
else list.type.var[[i]] <- ifelse(sapply(base[,(sum(group[1:(i-1)])+1):sum(group[1:i])],is.numeric),"quanti","quali")
}
if ((type[i] == "m")&&(i%in%num.group.sup)){
if (i==1) list.type.var[[i]] <- ifelse(sapply(base[,1:group[1]],is.numeric),"quanti.sup","quali.sup")
else list.type.var[[i]] <- ifelse(sapply(base[,(sum(group[1:(i-1)])+1):sum(group[1:i])],is.numeric),"quanti.sup","quali.sup")
}
if (i==1) names(list.type.var[[1]]) <- colnames(base)[1:group[1]]
else names(list.type.var[[i]]) <- colnames(base)[(sum(group[1:(i-1)])+1):sum(group[1:i])]
}
nature.var <- type.var <- unlist(list.type.var)
names(nature.var)=NULL
if (!is.null(ind.sup)) {
base <- rbind.data.frame(base[-ind.sup,],base[ind.sup,,drop=FALSE])
ind.sup <- (nrow(base)-length(ind.sup)+1) : nrow(base)
}
nbre.var <- ncol(base)
group.actif <- NULL
if ("n"%in%type || "m"%in%type){
niveau <- NULL
for (j in 1:ncol(base)){
if (!is.numeric(base[,j])) niveau <- c(niveau,levels(base[,j]))
}
for (j in 1:ncol(base)) {
if (!is.numeric(base[,j])){
if (sum(niveau%in%levels(base[,j]))!=nlevels(base[,j])) levels(base[,j]) <- paste(colnames(base)[j],levels(base[,j]),sep="_")
}
}
}
for (i in 1:nbre.group) if (!(i%in%num.group.sup)) group.actif <- c(group.actif,i)
group.mod <- group
nbre.ind <- nrow(base)
nb.actif <- nbre.ind-length(ind.sup)
if (nbre.var != sum(group)) stop("not convenient group definition")
if (nbre.group != length(type)) stop("not convenient type definition")
base <- as.data.frame(base)
if (!inherits(base, "data.frame")) stop("base should be a data.frame")
res.separe <- vector(mode = "list", length = nbre.group)
if (is.null(name.group)) name.group <- paste0("Gr", 1:nbre.group)
names(res.separe) <- name.group
ind.grpe <- 0
## modif 2023/11/29
if (any(is.na(base)) & is.null(tab.comp)){
for (j in 1:ncol(base)){
if (is.numeric(base[,j])) base[,j] <- replace(base[,j],is.na(base[,j]),mean(base[,j],na.rm=TRUE))
else base[,j] <- as.factor(replace(as.character(base[,j]),is.na(base[,j]),paste(colnames(base)[j],".NA",sep="")))
}
}
# if (any(is.na(base))){
# if (!("n"%in%type)) for (j in 1:ncol(base)) base[,j] <- replace(base[,j],is.na(base[,j]),mean(base[,j],na.rm=TRUE))
# else{
# if (type[1]!="n") for (j in 1:group[1]) base[,j] <- replace(base[,j],is.na(base[,j]),mean(base[,j],na.rm=TRUE))
# for (g in 2:nbre.group){
# if (type[g]!="n") for (j in (sum(group[1:(g-1)])+1):sum(group[1:g])) base[,j] <- replace(base[,j],is.na(base[,j]),mean(base[,j],na.rm=TRUE))
# }
# if (is.null(tab.comp)){
# if (type[1]=="n") for (j in 1:group[1]) base[,j] <- as.factor(replace(as.character(base[,j]),is.na(base[,j]),paste(colnames(base)[j],".NA",sep="")))
# for (g in 2:nbre.group){
# if (type[g]=="n") for (j in (sum(group[1:(g-1)])+1):sum(group[1:g])) base[,j] <- as.factor(replace(as.character(base[,j]),is.na(base[,j]),paste(colnames(base)[j],".NA",sep="")))
# }
# }
#}
# }
if (is.null(row.w)) row.w <- rep(1,nb.actif)
if (any("f" %in% type)+any("f2" %in% type)+any("f3" %in% type)>1) stop("For the contingency tables, the type must the the same")
if (("f" %in% type)||("f2" %in% type)||("f3" %in% type)) {
grfrec<-c(which(type=="f"),which(type=="f2"),which(type=="f3"))
## pour avoir individus actifs, que ind.sup soit NULL ou non
## ind.actif <- !((1:nrow(base))%in%intersect(ind.sup,(1:nrow(base))))
for (i in grfrec){
if ((type[i]=="f2")||(type[i]=="f3")||(i%in%num.group.sup)){
if (i==1) base[,1:group[1]]<- base[,1:group[1]]/sum(base[1:nb.actif,1:group[1]])
else base[,(sum(group[1:(i-1)])+1):sum(group[1:i])]<-base[,(sum(group[1:(i-1)])+1):sum(group[1:i])]/sum(base[1:nb.actif,(sum(group[1:(i-1)])+1):sum(group[1:i])])
}
}
type.var=="f"
if(!any(type.var=="f")) sumT <-1
else sumT <- sum(base[1:nb.actif,as.logical((type.var=="f")+(type.var=="f2")+(type.var=="f3"))])
if (sumT==0) sumT <- 1
base[,as.logical((type.var=="f")+(type.var=="f_sup")+(type.var=="f2")+(type.var=="f2_sup")+(type.var=="f3")+(type.var=="f3_sup"))]<-base[,as.logical((type.var=="f")+(type.var=="f_sup")+(type.var=="f2")+(type.var=="f2_sup")+(type.var=="f3")+(type.var=="f3_sup"))]/sumT
F.jt<-list()
Fi.t<-list()
for (j in grfrec){
if (j==1){
F.jt[[j]]<-apply(base[1:nb.actif,1:group[1]],2,sum)
Fi.t[[j]]<-apply(base[,1:group[1]],1,sum)
}else{
F.jt[[j]]<-apply(base[1:nb.actif,(sum(group[1:(j-1)])+1):(sum(group[1:(j-1)])+group[j])],2,sum)
Fi.t[[j]]<-apply(base[,(sum(group[1:(j-1)])+1):(sum(group[1:(j-1)])+group[j])],1,sum)
}
}
if ("f"%in%type.var){
row.w[1:nrow(base)]<-0
for (j in grfrec){
if (!(j%in%num.group.sup)) row.w<-row.w+Fi.t[[j]]
}
}
F..t<-numeric()
for (j in grfrec) F..t[j]<-sum(Fi.t[[j]][1:nb.actif])
for (t in grfrec){
if (t==1) {
base[,1:group[t]]<-sweep(base[,1:group[t]],2,F.jt[[t]],FUN="/")
base[,1:group[t]] <- sweep(base[,1:group[t]],1,Fi.t[[t]]/F..t[t],FUN="-")
base[,1:group[t]] <- sweep(base[,1:group[t]],1,row.w,FUN="/")
}
else {
base[,(sum(group[1:(t-1)])+1):sum(group[1:t])]<-sweep(base[,(sum(group[1:(t-1)])+1):sum(group[1:t])],2,F.jt[[t]],FUN="/")
base[,(sum(group[1:(t-1)])+1):sum(group[1:t])]<-sweep(base[,(sum(group[1:(t-1)])+1):sum(group[1:t])],1,Fi.t[[t]]/F..t[t],FUN="-")
base[,(sum(group[1:(t-1)])+1):sum(group[1:t])]<-sweep(base[,(sum(group[1:(t-1)])+1):sum(group[1:t])],1,row.w,FUN="/")
}
}
row.w <- row.w[1:nb.actif]
}
if (!is.null(ind.sup)) row.w.moy.ec <- c(row.w,rep(0,length(ind.sup)))
else row.w.moy.ec <- row.w
if (is.null(weight.col.mfa)) weight.col.mfa <- rep(1,sum(group.mod))
### Begin handle missing values
if (!is.null(tab.comp)){
group.mod <- tab.comp$call$group.mod
ind.var.group <- tab.comp$call$ind.var
tab.comp <- tab.comp$tab.disj
}
### End handle missing values
for (g in 1:nbre.group) {
aux.base <- as.data.frame(base[, (ind.grpe + 1):(ind.grpe + group[g])])
dimnames(aux.base) <- list(rownames(base),colnames(base)[(ind.grpe + 1):(ind.grpe + group[g])])
if (type[g] == "s") res.separe[[g]] <- PCA(aux.base, ind.sup =ind.sup, scale.unit = TRUE, ncp = ncp, row.w=row.w, graph = FALSE, col.w = weight.col.mfa[(ind.grpe + 1):(ind.grpe + group[g])])
if (type[g] == "c") res.separe[[g]] <- PCA(aux.base, ind.sup =ind.sup, scale.unit = FALSE, ncp = ncp, row.w=row.w,graph = FALSE, col.w = weight.col.mfa[(ind.grpe + 1):(ind.grpe + group[g])])
if (type[g]=="f"||type[g]=="f2"||type[g]=="f3") res.separe[[g]] <- PCA(aux.base, ind.sup =ind.sup, scale.unit = FALSE, ncp = ncp, row.w=row.w,graph = FALSE, col.w = F.jt[[g]]*weight.col.mfa[(ind.grpe + 1):(ind.grpe + group[g])])
if (type[g] == "n") {
for (v in (ind.grpe + 1):(ind.grpe + group[g])) {
if (!is.factor(base[, v])) stop("factors are not defined in the qualitative groups")
}
res.separe[[g]] <- MCA(aux.base, excl = excl[[g]], ind.sup = ind.sup, ncp=ncp, graph = FALSE, row.w=row.w)
}
if (type[g] == "m") res.separe[[g]] <- FAMD(aux.base, ind.sup = ind.sup, ncp=ncp, graph = FALSE, row.w=row.w)
### Begin handle missing values
if (!is.null(tab.comp)){
if (type[g] == "s") res.separe[[g]] <- PCA(tab.comp[,ind.var.group[[g]]],scale.unit=TRUE,row.w=row.w,ind.sup=ind.sup,col.w=weight.col.mfa[(ind.grpe + 1):(ind.grpe + group[g])],graph=FALSE)
if (type[g] == "c") res.separe[[g]] <- PCA(tab.comp[,ind.var.group[[g]]],scale.unit=FALSE,row.w=row.w,ind.sup=ind.sup,col.w=weight.col.mfa[(ind.grpe + 1):(ind.grpe + group[g])],graph=FALSE)
if (type[g] == "n") res.separe[[g]] <- MCA(aux.base, ind.sup = ind.sup, ncp=ncp, graph = FALSE, row.w=row.w,tab.disj=tab.comp[,ind.var.group[[g]]])
if (type[g] == "m") res.separe[[g]] <- FAMD(aux.base, ind.sup = ind.sup, ncp=ncp, graph = FALSE, row.w=row.w,tab.disj=tab.comp[,ind.var.group[[g]]])
}
### End handle missing values
ind.grpe <- ind.grpe + group[g]
}
data <- matrix(0,nbre.ind,0)
ind.grpe <- ind.grpe.mod <- 0
ponderation <- vector(length = sum(group.mod))
poids.bary <- NULL
for (g in 1:nbre.group) {
aux.base <- base[, (ind.grpe + 1):(ind.grpe + group[g]),drop=FALSE]
### Begin handle missing values
if (!is.null(tab.comp)){
if (g==1) aux.base <- tab.comp[,1:group.mod[1]]
else aux.base <- tab.comp[,(cumsum(group.mod)[g-1]+1):cumsum(group.mod)[g],drop=FALSE]
}
### End handle missing values
aux.base <- as.data.frame(aux.base)
colnames(aux.base) <- colnames(base)[(ind.grpe + 1):(ind.grpe + group[g])]
if (type[g] == "s") {
centre.aux.base <- apply(as.data.frame(aux.base), 2, moy.p, row.w.moy.ec)
aux.base <- t(t(as.matrix(aux.base))-centre.aux.base)
ecart.type.aux.base <- apply(as.data.frame(aux.base), 2, ec, row.w.moy.ec)
ecart.type.aux.base[ecart.type.aux.base <= 1e-08] <- 1
aux.base <- t(t(aux.base)/ecart.type.aux.base)
type[g] <- "c"
}
if (type[g] == "c") {
data <- cbind.data.frame(data, aux.base)
ponderation[(ind.grpe.mod + 1):(ind.grpe.mod + group.mod[g])] <- 1/res.separe[[g]]$eig[1,1]
}
if (type[g] == "f"||type[g] == "f2") {
data <- cbind.data.frame(data, aux.base)
ponderation[(ind.grpe.mod+1):(ind.grpe.mod+group[g])]<-F.jt[[g]]/res.separe[[g]]$eig[1,1]
}
if (type[g] == "n") {
### Begin handle missing values
if (!is.null(tab.comp)){
if (g==1) tmp <- tab.comp[,1:group.mod[1]]
else tmp <- tab.comp[,(cumsum(group.mod)[g-1]+1):cumsum(group.mod)[g],drop=FALSE]
} else {
tmp <- tab.disjonctif(aux.base)
group.mod[g] <- ncol(tmp)
}
### End handle missing values
centre.tmp <- apply(tmp, 2, moy.p, row.w.moy.ec)
centre.tmp <- centre.tmp/sum(row.w.moy.ec)
tmp2 <- tmp*(row.w.moy.ec/sum(row.w.moy.ec))
poids.bary <- c(poids.bary,colSums(tmp2))
poids.tmp <- 1-apply(tmp2, 2, sum)
if(!is.null(excl[[g]])) poids.tmp[excl[[g]]] <- 0
ponderation[(ind.grpe.mod + 1):(ind.grpe.mod + group.mod[g])] <- poids.tmp/(res.separe[[g]]$eig[1,1] * group[g])
tmp <- tmp/sum(row.w.moy.ec)
tmp <- t(t(as.matrix(tmp))-centre.tmp)
ecart.type.tmp <- apply(tmp, 2, ec, row.w.moy.ec)
### Pb if the disjunctive table doesn't have only 0 and 1
if (!is.null(tab.comp)) ecart.type.tmp <- sqrt(centre.tmp*sum(row.w.moy.ec) * (1-centre.tmp*sum(row.w.moy.ec) ))/sum(row.w.moy.ec)
### End pb if the disjunctive table doesn't have only 0 and 1
ecart.type.tmp[ecart.type.tmp <= 1e-08] <- 1
tmp <- t(t(as.matrix(tmp))/ecart.type.tmp)
data <- cbind.data.frame(data, as.data.frame(tmp))
}
if (type[g] == "m") {
### Begin handle missing values
if (is.null(tab.comp)){
numAct <- which(sapply(aux.base,is.numeric))
facAct <- which(!sapply(aux.base,is.numeric))
QuantiAct <- as.matrix(aux.base[,numAct,drop=FALSE])
QualiAct <- tab.disjonctif(aux.base[,facAct,drop=FALSE])
group.mod[g] <- ncol(QuantiAct)+ncol(QualiAct)
} else {
if (g==1){
aux <- tab.comp[,1:group.mod[1],drop=FALSE]
} else {
aux <- tab.comp[,(cumsum(group.mod)[g-1]+1):cumsum(group.mod)[g],drop=FALSE]
}
QuantiAct <- aux[,which(colnames(aux)==colnames(QuantiAct))]
QualiAct <- aux[,which(colnames(aux)!=colnames(QuantiAct))]
}
### End handle missing values
centre <- apply(QuantiAct,2,moy.p,row.w.moy.ec)
QuantiAct <- t(t(QuantiAct)-centre)
ecart.type.tmp <- apply(QuantiAct,2,ec,row.w.moy.ec)
QuantiAct <- t(t(QuantiAct)/ecart.type.tmp)
tmp2 <- QualiAct*(row.w.moy.ec/sum(row.w.moy.ec))
poids.bary <- c(poids.bary,colSums(tmp2))
nk_sur_n <- apply(QualiAct, 2, moy.p, row.w.moy.ec)
QualiAct <- t(t(as.matrix(QualiAct))/sqrt(nk_sur_n))
centre.tmp <- apply(QualiAct, 2, moy.p, row.w.moy.ec)
QualiAct <- t(t(as.matrix(QualiAct))-centre.tmp)
ponderation[(ind.grpe.mod + 1):(ind.grpe.mod + group.mod[g])] <- 1/(res.separe[[g]]$eig[1,1])
### Pb if the disjunctive table doesn't have only 0 and 1
# if (!is.null(tab.comp)) ecart.type.tmp <- sqrt(centre*sum(row.w.moy.ec) * (1-centre*sum(row.w.moy.ec)))/sum(row.w.moy.ec)
### End pb if the disjunctive table doesn't have only 0 and 1
# ecart.type.tmp[ecart.type.tmp <= 1e-08] <- 1
data <- cbind.data.frame(data,QuantiAct,QualiAct)
}
## Fin modif
if(!is.null(excl)) ponderation[ponderation == 0] <- 1e-15
ind.grpe <- ind.grpe + group[g]
ind.grpe.mod <- ind.grpe.mod + group.mod[g]
}
data.group.sup.indice <- data.group.sup <- NULL
data.pca <- data
rownames(data.pca) <- rownames(base)
if (!is.null(num.group.sup)){
ponderation.tot <- ponderation
ponderation.group.sup <- NULL
nb.of.var <- 0
supp.quanti <- supp.quali <- NULL
colnames.data.group.sup <- NULL
for (i in 1:nbre.group) {
if (i%in%num.group.sup){
if ((type[i]=="c")||(type[i]=="f")) supp.quanti <- c(supp.quanti,(nb.of.var+1):(nb.of.var+group.mod[i]))
if (type[i]=="n") supp.quali <- c(supp.quali,(1+nb.of.var):(nb.of.var+group.mod[i]))
if (type[i]=="m"){
supp.quanti <- c(supp.quanti,nb.of.var+(1:sum(sapply(base[, (sum(group[1:(i-1)])+1):(sum(group[1:i])),drop=FALSE],is.numeric))))
supp.quali <- c(supp.quali,nb.of.var+(sum(sapply(base[, (sum(group[1:(i-1)])+1):(sum(group[1:i])),drop=FALSE],is.numeric)):(group.mod[i])))
}
if (is.null(data.group.sup)) data.group.sup <- as.data.frame(data[,(1+nb.of.var):(nb.of.var+group.mod[i])])
else data.group.sup <- cbind.data.frame(data.group.sup,data[,(1+nb.of.var):(nb.of.var+group.mod[i])])
if (ncol(data.group.sup)>1) colnames.data.group.sup <- c(colnames.data.group.sup,colnames(data)[(1+nb.of.var):(nb.of.var+group.mod[i])])
else colnames.data.group.sup <- colnames(data)[1+nb.of.var]
ponderation.group.sup <- c(ponderation.group.sup,ponderation[(1+nb.of.var):(nb.of.var+group.mod[i])])
}
nb.of.var <- nb.of.var + group.mod[i]
}
colnames(data.group.sup) <- colnames.data.group.sup
ponderation <- ponderation.tot[-c(supp.quanti,supp.quali)]
data <- data[,-c(supp.quanti,supp.quali)]
data.group.sup.indice <- (ncol(data)+1):(ncol(data)+ncol(data.group.sup))
data.pca <- cbind.data.frame(data,data.group.sup)
}
# modif 2023-01-16
# ncp.tmp <- min(nb.actif-1, ncol(data))
ncp.tmp <- min(nb.actif-1, ncol(data)-sum((group[group.actif])[type[group.actif]=="n"]))
ind.var <- 0
ind.quali <- NULL
for (g in 1:nbre.group) {
if (type[g] == "n") ind.quali <- c(ind.quali, c((ind.var + 1):(ind.var + group[g])))
if (type[g] == "m"){
if (g==1) ind.quali <- which(!sapply(base[, 1:group[1],drop=FALSE],is.numeric))
else ind.quali <- c(ind.quali, ind.var + which(!sapply(base[, (1+sum(group[1:(g-1)])):sum(group[1:g]),drop=FALSE],is.numeric)))
}
ind.var <- ind.var + group[g]
}
aux_quali_sup_indice <- aux_quali_sup <- data.sup <- NULL
if (!is.null(ind.quali)){
aux_quali_sup <- as.data.frame(base[, ind.quali,drop=FALSE])
if (is.null(data.group.sup)) aux_quali_sup_indice <- (ncol(data)+1):(ncol(data)+ncol(aux_quali_sup))
else aux_quali_sup_indice <- (ncol(data)+ncol(data.group.sup)+1):(ncol(data)+ncol(data.group.sup)+ncol(aux_quali_sup))
data.pca <- cbind.data.frame(data.pca,aux_quali_sup)
}
row.w <- row.w[1:nb.actif]
### Begin handle missing values
if ((!is.null(tab.comp))&(any("n"%in%type) || any("m"%in%type))){
data.pca <- data.pca[,-aux_quali_sup_indice]
aux_quali_sup_indice <- NULL
}
### End handle missing values
res.globale <- PCA(data.pca, scale.unit = FALSE, col.w = ponderation, row.w=row.w,ncp = ncp, ind.sup = ind.sup, quali.sup = aux_quali_sup_indice, quanti.sup = data.group.sup.indice, graph = FALSE)
### Begin handle missing values
if ((!is.null(tab.comp))&(any("n"%in%type) || any("m"%in%type))){
if (!is.null(type.var%in%"quali")) {
if (any(type.var%in%c("freq","quanti"))){
res.globale$quali.var$coord <- res.globale$var$coord[-(1:sum(type.var%in%c("freq","quanti"))),]
res.globale$quali.var$cos2 <- res.globale$var$cos2[-(1:sum(type.var%in%c("freq","quanti"))),]
res.globale$quali.var$contrib <- res.globale$var$contrib[-(1:sum(type.var%in%c("freq","quanti"))),]
} else{
res.globale$quali.var$coord <- res.globale$var$coord
res.globale$quali.var$cos2 <- res.globale$var$cos2
res.globale$quali.var$contrib <- res.globale$var$contrib
}
}
res.globale$call$quali.sup$barycentre <- sweep(crossprod(tab.comp[,unlist(ind.var.group[type%in%"n" || type%in%"m"])],as.matrix(data.pca)),1,apply(tab.comp[,unlist(ind.var.group[type%in%"n" || type%in%"m"])],2,sum),FUN="/")
res.globale$quali.sup$coord <- sweep(crossprod(tab.comp[,unlist(ind.var.group[type%in%"n" || type%in%"m"])],res.globale$ind$coord),1,apply(tab.comp[,unlist(ind.var.group[type%in%"n" || type%in%"m"])],2,sum),FUN="/")
}
### End handle missing values
ncp <- min(ncp, nrow(res.globale$eig))
call <- res.globale$call
call$group <- group
call$type <- type
call$ncp <- ncp
call$group.mod <- group.mod
call$num.group.sup <- num.group.sup
call$name.group <- name.group
call$X <- base
call$XTDC <- data
call$nature.group <- nature.group
call$nature.var <- nature.var
call$list.type.var <- list.type.var
contrib.group <- matrix(NA, length(group.actif), ncp)
dimnames(contrib.group) <- list(name.group[group.actif], paste("Dim", c(1:ncp), sep = "."))
dist2.group <- vector(length = length(group.actif))
ind.var <- ind.var.sup <- 0
for (g in 1:length(group.actif)) {
if (group.mod[group.actif[g]]!=1) contrib.group[g, ] <- apply(res.globale$var$contrib[(ind.var + 1):(ind.var + group.mod[group.actif[g]]), 1:ncp]/100, 2, sum)
else contrib.group[g, ] <- res.globale$var$contrib[ind.var + 1, 1:ncp]/100
ind.var <- ind.var + group.mod[group.actif[g]]
dist2.group[g] <- sum((res.separe[[group.actif[g]]]$eig[,1]/res.separe[[group.actif[g]]]$eig[1,1])^2)
}
coord.group <- t(t(contrib.group)*res.globale$eig[1:ncol(contrib.group),1])
cos2.group <- coord.group^2/dist2.group
if (!is.null(num.group.sup)){
coord.group.sup <- matrix(NA, length(num.group.sup), ncp)
dimnames(coord.group.sup) <- list(name.group[num.group.sup], paste("Dim", c(1:ncp), sep = "."))
ind.gc <- 0
for (gc in 1:length(num.group.sup)) {
for (k in 1:ncp){
if (is.null(ind.sup)) coord.group.sup[gc,k] <- funcLg(res.globale$ind$coord[,k,drop=FALSE],data.group.sup[,(ind.gc+1):(ind.gc+group.mod[num.group.sup[gc]]),drop=FALSE],ponderation.x=1/res.globale$eig[k,1],ponderation.y=ponderation.group.sup[(ind.gc+1):(ind.gc+group.mod[num.group.sup[gc]])],wt=row.w/sum(row.w))
else coord.group.sup[gc,k] <- funcLg(res.globale$ind$coord[-ind.sup,k,drop=FALSE],data.group.sup[-ind.sup,(ind.gc+1):(ind.gc+group.mod[num.group.sup[gc]]),drop=FALSE],ponderation.x=1/res.globale$eig[k,1],ponderation.y=ponderation.group.sup[(ind.gc+1):(ind.gc+group.mod[num.group.sup[gc]])],wt=row.w/sum(row.w))
}
ind.gc <- ind.gc + group.mod[num.group.sup[gc]]
}
}
Lg <- matrix(0, nbre.group+1, nbre.group+1)
ind.gl <- 0
for (gl in c(group.actif,num.group.sup)) {
ind.gc <- 0
for (gc in c(group.actif,num.group.sup)) {
if (gc>=gl){
if (is.null(num.group.sup)) {
if (is.null(ind.sup)) Lg[gl, gc] <- Lg[gc, gl] <- funcLg(x=data[,ind.gl + (1:group.mod[gl]),drop=FALSE],y=data[,ind.gc + (1:group.mod[gc]),drop=FALSE],ponderation.x=ponderation[ind.gl + (1:group.mod[gl])],ponderation.y=ponderation[ind.gc + (1:group.mod[gc])],wt=row.w/sum(row.w))
else Lg[gl, gc] <- Lg[gc, gl] <- funcLg(x=data[-ind.sup,ind.gl + (1:group.mod[gl]),drop=FALSE],y=data[-ind.sup,ind.gc + (1:group.mod[gc]),drop=FALSE],ponderation.x=ponderation[ind.gl + (1:group.mod[gl])],ponderation.y=ponderation[ind.gc + (1:group.mod[gc])],wt=row.w/sum(row.w))
} else {
if (is.null(ind.sup)) Lg[gl, gc] <- Lg[gc, gl] <- funcLg(x=cbind.data.frame(data,data.group.sup)[,ind.gl + (1:group.mod[gl]),drop=FALSE],y=cbind.data.frame(data,data.group.sup)[,ind.gc + (1:group.mod[gc]),drop=FALSE],ponderation.x=c(ponderation,ponderation.group.sup)[ind.gl + (1:group.mod[gl])],ponderation.y=c(ponderation,ponderation.group.sup)[ind.gc + (1:group.mod[gc])],wt=row.w/sum(row.w))
else Lg[gl, gc] <- Lg[gc, gl] <- funcLg(x=cbind.data.frame(data,data.group.sup)[-ind.sup,ind.gl +(1:group.mod[gl]),drop=FALSE],y=cbind.data.frame(data,data.group.sup)[-ind.sup,ind.gc + (1:group.mod[gc]),drop=FALSE],ponderation.x=c(ponderation,ponderation.group.sup)[ind.gl +(1:group.mod[gl])],ponderation.y=c(ponderation,ponderation.group.sup)[ind.gc + (1:group.mod[gc])],wt=row.w/sum(row.w))
}
}
ind.gc <- ind.gc + group.mod[gc]
}
ind.gl <- ind.gl + group.mod[gl]
}
Lg[nbre.group+1,] <- Lg[,nbre.group+1] <- apply(Lg[group.actif,],2,sum)/res.globale$eig[1,1]
Lg[nbre.group+1,nbre.group+1] <- sum(Lg[group.actif,nbre.group+1])/res.globale$eig[1,1]
dist2.group <- diag(Lg)
if (!is.null(num.group.sup)){
dist2.group.sup <- dist2.group[num.group.sup]
dist2.group <- dist2.group[-num.group.sup]
}
RV <- sweep(Lg, 2, sqrt(diag(Lg)), "/")
RV <- sweep(RV, 1, sqrt(diag(Lg)), "/")
rownames(Lg) <- colnames(Lg) <- rownames(RV) <- colnames(RV) <- c(name.group,"MFA")
data.partiel <- vector(mode = "list", length = nbre.group)
names(data.partiel) <- name.group
ind.col <- 0
for (g in 1:nbre.group) {
if (g%in%group.actif){
data.partiel[[g]] <- as.data.frame(matrix(res.globale$call$centre, nrow(data), ncol(data), byrow = TRUE, dimnames = dimnames(data)))
data.partiel[[g]][, (ind.col + 1):(ind.col + group.mod[g])] <- data[, (ind.col + 1):(ind.col + group.mod[g])]
ind.col <- ind.col + group.mod[g]
}
}
res.ind.partiel <- vector(mode = "list", length = nbre.group)
names(res.ind.partiel) <- name.group
for (g in group.actif){
Xis <- t(t(as.matrix(data.partiel[[g]]))-res.globale$call$centre)
Xis <- t(t(Xis)/res.globale$call$ecart.type)
coord.ind.sup <- length(group.actif) * as.matrix(Xis)
coord.ind.sup <- t(t(coord.ind.sup)*res.globale$call$col.w)
coord.ind.sup <- crossprod(t(coord.ind.sup),res.globale$svd$V)
res.ind.partiel[[g]]$coord.sup <- coord.ind.sup
}
cor.grpe.fact <- as.matrix(matrix(NA, length(group.actif), ncp))
colnames(cor.grpe.fact) <- paste("Dim", c(1:ncp), sep = ".")
rownames(cor.grpe.fact) <- name.group[group.actif]
for (f in 1:ncp) {
for (g in 1:length(group.actif)) cor.grpe.fact[g, f] <- cov.wt(cbind.data.frame(res.ind.partiel[[group.actif[g]]]$coord.sup[1:nb.actif, f], res.globale$ind$coord[, f]),wt=row.w/sum(row.w),method="ML",cor=TRUE)$cor[1,2]
}
It <- vector(length = ncp)
for (g in group.actif) It <- It + apply(res.ind.partiel[[g]]$coord.sup[1:nb.actif,]^2*row.w,2,sum)
rap.inertie <- apply(res.globale$ind$coord^2*row.w,2,sum) * length(group.actif) / It
res.groupes <- list(Lg = Lg, RV = RV, coord = coord.group[, 1:ncp], contrib = contrib.group[, 1:ncp] * 100, cos2 = cos2.group[, 1:ncp], dist2 = dist2.group[-length(dist2.group)], correlation = cor.grpe.fact[, 1:ncp])
if (!is.null(num.group.sup)){
res.groupes$coord.sup <- coord.group.sup[,1:ncp,drop=FALSE]
res.groupes$cos2.sup <- coord.group.sup[,1:ncp,drop=FALSE]^2/dist2.group.sup
res.groupes$dist2.sup <- dist2.group.sup
}
####CHANGED THIS!!!! ------------------
# OLD#
# nom.ligne <- NULL
# for (i in 1:nb.actif) nom.ligne <- c(nom.ligne, paste(rownames(base)[i], name.group[group.actif], sep = "."))
# NEW#
nom.ligne <- c(sapply( rownames(base)[1:nb.actif], paste, name.group[group.actif], sep = "."))
tmp <- array(0,dim=c(nrow(res.globale$ind$coord),ncp,length(group.actif)))
for (g in 1:length(group.actif)) tmp[,,g] <- (res.ind.partiel[[group.actif[g]]]$coord.sup[1:nb.actif,1:ncp,drop=FALSE]-res.globale$ind$coord[,1:ncp,drop=FALSE])^2/length(group.actif)
## Ajour Avril 2011
tmp <- tmp*row.w
variab.auxil <- apply(tmp,2,sum) ## attention, array
tmp <- sweep(tmp,2,variab.auxil,FUN="/") * 100 ## attention, array
inertie.intra.ind <- apply(tmp,c(1,2),sum)
####CHANGED THIS!!!! --------------------
#OLD#
# inertie.intra.ind.partiel <- as.data.frame(matrix(NA, (nb.actif * length(group.actif)), ncp.tmp))
# for (i in 1:nb.actif) inertie.intra.ind.partiel[((i - 1) * length(group.actif) + 1):(i * length(group.actif)), ] <- t(tmp[i,1:ncp,])
#NEW#
inertie.intra.ind.partiel <- data.frame(do.call( rbind, lapply(1:dim(tmp)[1], function(x) t(tmp[x, 1:ncp, ]))))
inertie.intra.ind.partiel <- as.matrix(inertie.intra.ind.partiel)
# xxx <- as.data.frame(matrix(NA, (nb.actif * length(group.actif)), ncp))
# colnames(inertie.intra.ind.partiel) <- colnames(xxx)
rownames(inertie.intra.ind) <- rownames(res.globale$ind$coord)
rownames(inertie.intra.ind.partiel) <- nom.ligne
colnames(inertie.intra.ind) <- colnames(inertie.intra.ind.partiel) <- paste("Dim", c(1:ncp), sep = ".")
tab.partial.axes <- matrix(NA, nb.actif, ncp * nbre.group)
rownames(tab.partial.axes) <- rownames(data)[1:nb.actif]
nom.axes <- paste("Dim", c(1:ncp), sep = "")
nom.col <- NULL
debut <- 0
for (g in 1:nbre.group) {
nom.col <- c(nom.col, paste(nom.axes, name.group[g],sep="."))
nbcol <- min(ncp, ncol(res.separe[[g]]$ind$coord))
tab.partial.axes[, (debut + 1):(debut + nbcol)] <- res.separe[[g]]$ind$coord[,1:nbcol]
debut <- debut + ncp
}
colnames(tab.partial.axes) <- nom.col
indice.col.NA <- which(!is.na(tab.partial.axes[1, ]))
tab.partial.axes <- tab.partial.axes[, indice.col.NA]
centre <- apply(tab.partial.axes, 2, moy.p, res.globale$call$row.w)
tab.partial.axes <- t(t(tab.partial.axes)-centre)
ecart.type <- apply(tab.partial.axes, 2, ec, res.globale$call$row.w)
ecart.type[ecart.type <= 1e-08] <- 1
tab.partial.axes <- t(t(tab.partial.axes)/ecart.type)
coord.res.partial.axes <- t(tab.partial.axes*res.globale$call$row.w)
coord.res.partial.axes <- crossprod(t(coord.res.partial.axes),res.globale$svd$U[,1:ncp])
contrib.res.partial.axes <- coord.res.partial.axes*0
debut <- 0
for (g in 1:nbre.group) {
nbcol <- min(ncp, ncol(res.separe[[g]]$ind$coord))
if (g %in% group.actif) contrib.res.partial.axes[(debut + 1):(debut + nbcol),] <- coord.res.partial.axes[(debut + 1):(debut + nbcol),]^2*res.separe[[g]]$eig[1:nbcol,1]/res.separe[[g]]$eig[1,1]
debut <- debut + nbcol
}
contrib.res.partial.axes <- t(t(contrib.res.partial.axes)/apply(contrib.res.partial.axes,2,sum)) *100
sigma <- apply(tab.partial.axes, 2, ec, res.globale$call$row.w)
cor.res.partial.axes <- coord.res.partial.axes/sigma
colnames(coord.res.partial.axes) <- paste("Dim", c(1:ncol(coord.res.partial.axes)), sep = ".")
dimnames(contrib.res.partial.axes) <- dimnames(cor.res.partial.axes) <- dimnames (coord.res.partial.axes)
summary.n <- as.data.frame(matrix(NA, 0, 4))
colnames(summary.n) <- c("group", "variable", "modalite", "effectif")
summary.c <- as.data.frame(matrix(NA, 0, 6))
colnames(summary.c) <- c("group", "variable", "moyenne", "ecart.type", "minimum", "maximum")
for (g in 1:nbre.group) {
if ((type[g] == "c")||(type[g]=="f")) {
statg <- as.data.frame(matrix(NA, ncol(res.separe[[g]]$call$X), 6))
colnames(statg) <- c("group", "variable", "moyenne", "ecart.type", "minimum", "maximum")
statg[, "group"] <- rep(g, nrow(statg))
statg[, "variable"] <- colnames(res.separe[[g]]$call$X)
statg[, "moyenne"] <- res.separe[[g]]$call$centre
if (!is.null(res.separe[[g]]$call$ecart.type)) statg[, "ecart.type"] <- res.separe[[g]]$call$ecart.type
statg[, "minimum"] <- apply(res.separe[[g]]$call$X, 2, min)
statg[, "maximum"] <- apply(res.separe[[g]]$call$X, 2, max)
if (!is.null(res.separe[[g]]$call$ecart.type)) statg[, -c(1, 2)] <- round(statg[, -c(1, 2)], digits = 2)
else statg[, -c(1, 2,4)] <- round(statg[, -c(1, 2,4)], digits = 2)
summary.c <- rbind(summary.c, statg)
}
if (type[g]=="n") {
if(is.null(excl[[g]])) statg <- as.data.frame(matrix(NA, length(res.separe[[g]]$call$marge.col), 4))
else statg <- as.data.frame(matrix(NA, length(res.separe[[g]]$call$marge.col[-excl[[g]]]), 4))
colnames(statg) <- c("group", "variable", "modalite", "effectif")
statg[, "group"] <- rep(g, nrow(statg))
res.separe[[g]]$call$X <- as.data.frame(res.separe[[g]]$call$X)
nb.var <- ncol(res.separe[[g]]$call$X)
nb.mod <- NULL
nom.mod <- NULL
nb.mod.orig <- NULL
nb.mod.high <- 0
for (v in 1:nb.var) {
if(is.null(excl[[g]])) {
nb.mod <- c(nb.mod, nlevels(res.separe[[g]]$call$X[, v]))
} else {
nb.mod.orig <- c(nb.mod.orig, nlevels(res.separe[[g]]$call$X[, v]))
nb.mod.low <- nb.mod.high
nb.mod.high <- nb.mod.high + nlevels(res.separe[[g]]$call$X[, v])
nb.mod.rm.select <- (nb.mod.low < res.separe[[g]]$call$excl & res.separe[[g]]$call$excl <= nb.mod.high)
nb.mod.rm <- res.separe[[g]]$call$excl[nb.mod.rm.select]
nb.mod <- c(nb.mod, (nb.mod.orig[v]-length(nb.mod.rm)))
}
nom.mod <- c(nom.mod, levels(res.separe[[g]]$call$X[, v]))
}
if(!is.null(excl[[g]])) nom.mod <- nom.mod[-excl[[g]]]
statg[, "variable"] <- rep(colnames(res.separe[[g]]$call$X), nb.mod)
statg[, "modalite"] <- nom.mod
if(is.null(excl[[g]])) statg[, "effectif"] <- res.separe[[g]]$call$marge.col * nbre.ind * nb.var
else statg[, "effectif"] <- res.separe[[g]]$call$marge.col[-excl[[g]]] * nbre.ind * nb.var
summary.n <- rbind(summary.n, statg)
}
###not managed
if (type[g]=="m") {
nbvar.num <- sum(sapply(res.separe[[g]]$call$X,is.numeric))
statg <- as.data.frame(matrix(NA, nbvar.num, 6))
colnames(statg) <- c("group", "variable", "moyenne", "ecart.type", "minimum", "maximum")
statg[, "group"] <- rep(g, nrow(statg))
statg[, "variable"] <- colnames(res.separe[[g]]$call$X[,which(sapply(res.separe[[g]]$call$X,is.numeric)),drop=FALSE])
statg[, "moyenne"] <- res.separe[[g]]$call$centre[1:nbvar.num]
if (!is.null(res.separe[[g]]$call$ecart.type)) statg[, "ecart.type"] <- res.separe[[g]]$call$ecart.type[1:nbvar.num]
statg[, "minimum"] <- apply(res.separe[[g]]$call$X[,which(sapply(res.separe[[g]]$call$X,is.numeric)),drop=FALSE], 2, min)
statg[, "maximum"] <- apply(res.separe[[g]]$call$X[,which(sapply(res.separe[[g]]$call$X,is.numeric)),drop=FALSE], 2, max)
if (!is.null(res.separe[[g]]$call$ecart.type)) statg[, -c(1, 2)] <- round(statg[, -c(1, 2)], digits = 2)
else statg[, -c(1, 2,4)] <- round(statg[, -c(1, 2,4)], digits = 2)
summary.c <- rbind(summary.c, statg)
if(is.null(excl[[g]])) statg <- as.data.frame(matrix(NA, length(res.separe[[g]]$call$prop), 4))
else statg <- as.data.frame(matrix(NA, length(res.separe[[g]]$call$prop[-excl[[g]]]), 4))
colnames(statg) <- c("group", "variable", "modalite", "effectif")
statg[, "group"] <- rep(g, nrow(statg))
nb.var <- sum(!sapply(res.separe[[g]]$call$X,is.numeric))
nb.mod <- unlist(sapply(res.separe[[g]]$call$X[,which(!sapply(res.separe[[g]]$call$X,is.numeric)),drop=FALSE],nlevels))
nom.mod <- unlist(sapply(res.separe[[g]]$call$X[,which(!sapply(res.separe[[g]]$call$X,is.numeric)),drop=FALSE],levels))
if(!is.null(excl[[g]])){
nb.mod <- nb.mod - length(excl[[g]])
nom.mod <- nom.mod[-excl[[g]]]
}
statg[, "variable"] <- rep(colnames(res.separe[[g]]$call$X[,which(!sapply(res.separe[[g]]$call$X,is.numeric)),drop=FALSE]), nb.mod)
statg[, "modalite"] <- nom.mod
if(is.null(excl[[g]])) statg[, "effectif"] <- res.separe[[g]]$call$prop * nbre.ind
else statg[, "effectif"] <- res.separe[[g]]$call$marge.col[-excl[[g]]] * nbre.ind
summary.n <- rbind(summary.n, statg)
}
}
eig <- res.globale$eig[1:ncp.tmp,]
## CHANGED THIS!!!! ---------------
# nom.ligne <- NULL
# for (i in 1:nbre.ind) {
# ind.tmp <- rownames(base)[i]
# nom.ligne <- c(nom.ligne, paste(ind.tmp, name.group[group.actif], sep = "."))
# }
nom.ligne <- c( sapply( rownames(base), paste, name.group[group.actif], sep = "."))
coord.ind.partiel <- matrix(NA, (nbre.ind * length(group.actif)), ncp)
rownames(coord.ind.partiel) <- nom.ligne
colnames(coord.ind.partiel) <- paste("Dim", c(1:ncp), sep = ".")
coord.ind <- rbind(res.globale$ind$coord[, 1:ncp,drop=FALSE],res.globale$ind.sup$coord[, 1:ncp,drop=FALSE])
cos2.ind <- rbind(res.globale$ind$cos2[, 1:ncp,drop=FALSE],res.globale$ind.sup$cos2[, 1:ncp,drop=FALSE])
contrib.ind <- res.globale$ind$contrib[, 1:ncp,drop=FALSE]
liste.ligne <- seq(1, nbre.ind * length(group.actif), by = length(group.actif))
for (g in 1:length(group.actif)) coord.ind.partiel[liste.ligne+g-1, ] <- res.ind.partiel[[group.actif[g]]]$coord.sup[, 1:ncp,drop=FALSE]
if (!is.null(ind.sup)) {
res.ind.sup <- list(coord = coord.ind[(nb.actif+1):nrow(coord.ind),,drop=FALSE], cos2 = cos2.ind[(nb.actif+1):nrow(coord.ind),,drop=FALSE], coord.partiel = coord.ind.partiel[(length(group.actif)*nb.actif+1):nrow(coord.ind.partiel),,drop=FALSE])
res.ind <- list(coord = coord.ind[1:nb.actif,,drop=FALSE], contrib = contrib.ind, cos2 = cos2.ind[1:nb.actif,,drop=FALSE], within.inertia = inertie.intra.ind[1:nb.actif,1:ncp,drop=FALSE], coord.partiel = coord.ind.partiel[1:(length(group.actif)*nb.actif),,drop=FALSE], within.partial.inertia = inertie.intra.ind.partiel[1:(length(group.actif)*nb.actif),1:ncp,drop=FALSE] )
}
else res.ind <- list(coord = coord.ind, contrib = contrib.ind, cos2 = cos2.ind, within.inertia = inertie.intra.ind[,1:ncp,drop=FALSE], coord.partiel = coord.ind.partiel, within.partial.inertia = inertie.intra.ind.partiel[,1:ncp,drop=FALSE])
res.quali.var <- res.quali.var.sup <- NULL
bool.act <- FALSE
bool.sup <- FALSE
if (!is.null(ind.quali)) {
coord.quali <- res.globale$quali.sup$coord[, 1:ncp,drop=FALSE]
cos2.quali <- res.globale$quali.sup$cos2[, 1:ncp,drop=FALSE]
val.test.quali <- res.globale$quali.sup$v.test[, 1:ncp,drop=FALSE]
contrib.quali <- coord.quali * 0
commun <- intersect(rownames(res.globale$var$contrib),rownames(contrib.quali))
if (!is.null(commun)) contrib.quali[commun,] <- res.globale$var$contrib[commun,1:ncp,drop=FALSE]
barycentre <- res.globale$call$quali.sup$barycentre
coord.quali.partiel <- matrix(NA, (nrow(barycentre) * length(group.actif)), ncp)
nom.ligne.bary <- NULL
for (q in 1:nrow(barycentre)) {
ind.tmp <- rownames(barycentre)[q]
nom.ligne.bary <- c(nom.ligne.bary, paste(ind.tmp, name.group[group.actif], sep = "."))
}
rownames(coord.quali.partiel) <- nom.ligne.bary
liste.ligne <- seq(1, (nrow(barycentre) * length(group.actif) ), by = length(group.actif))
inertie.intra.cg.partiel <- matrix(NA, (nrow(barycentre) * length(group.actif) ), ncp)
tmp <- array(0,dim=c(nrow(res.globale$quali.sup$coord),ncp,length(group.actif)))
ind.col <- 0
for (g in 1:length(group.actif)) {
cg.partiel <- as.data.frame(matrix(res.globale$call$centre[sum(group.mod[group.actif[1:length(group.actif)]])], nrow(barycentre), sum(group.mod[group.actif[1:length(group.actif)]]), byrow = TRUE, dimnames = dimnames(barycentre[,1:sum(group.mod[group.actif[1:length(group.actif)]]),drop=FALSE])))
cg.partiel[, (ind.col + 1):(ind.col + group.mod[group.actif[g]])] <- barycentre[, (ind.col + 1):(ind.col + group.mod[group.actif[g]])]
ind.col <- ind.col + group.mod[group.actif[g]]
Xis <- t((t(cg.partiel)-res.globale$call$centre)/res.globale$call$ecart.type)
coord.quali.sup <- length(group.actif) * as.matrix(Xis)
coord.quali.sup <- t(t(coord.quali.sup)*res.globale$call$col.w)
coord.quali.sup <- crossprod(t(coord.quali.sup),res.globale$svd$V)
coord.quali.partiel[liste.ligne + g - 1, ] <- coord.quali.sup[,1:ncp]
tmp[,,g] <- (coord.quali.sup[,1:ncp,drop=FALSE] - res.globale$quali.sup$coord[,1:ncp,drop=FALSE])^2 / length(group.actif)
}
colnames(coord.quali.partiel) <- paste("Dim", 1:ncp, sep = ".")
tmp <- sweep(tmp,2,variab.auxil,FUN="/") * 100 ### attention array
### modif mais attention, si changement dans PCA, remettre ?
## tmp <- sweep(tmp,1,res.globale$call$quali.sup$nombre,FUN="*")
tmp <- sweep(tmp,1,poids.bary*sum(row.w),FUN="*") ### attention array
inertie.intra.cg <- apply(tmp,c(1,2),sum)
for (i in 1:nrow(barycentre)) inertie.intra.cg.partiel[((i - 1) * length(group.actif) + 1):(i * length(group.actif)), ] <- t(tmp[i,1:ncp,])
rownames(inertie.intra.cg) <- rownames(res.globale$quali.sup$coord)
rownames(inertie.intra.cg.partiel) <- nom.ligne.bary
colnames(inertie.intra.cg) <- colnames(inertie.intra.cg.partiel) <- paste("Dim", c(1:ncp), sep = ".")
ind.col <- 0
ind.col.act <- NULL
ind.col.sup <- NULL
ind.excl <- NULL
ind.excl.act <- NULL
###not managed
for (g in 1:nbre.group) {
if (type[g] =="n" | type[g]=="m"){
if (g%in%num.group.sup) ind.col.sup <- c(ind.col.sup, ind.col+(1:(group.mod[g]-sum(list.type.var[[g]]=="quanti.sup"))))
else ind.col.act <- c(ind.col.act, ind.col+(1:(group.mod[g]-sum(list.type.var[[g]]=="quanti"))))
if(!is.null(excl[[g]])) {
ind.excl <- ind.col + excl[[g]]
ind.excl.act <- c(ind.excl.act, ind.excl)
}
ind.col <- ind.col + group.mod[g]-sum(list.type.var[[g]]=="quanti")-sum(list.type.var[[g]]=="quanti.sup")
}
}
if(!is.null(ind.excl.act)) ind.col.act <- ind.col.act[-ind.excl.act]
if (!is.null(ind.col.sup)) {
coord.quali.sup <- coord.quali[ind.col.sup,,drop=FALSE]
cos2.quali.sup <- cos2.quali[ind.col.sup,,drop=FALSE]
val.test.quali.sup <- val.test.quali[ind.col.sup,,drop=FALSE]
coord.quali.partiel.sup <- coord.quali.partiel[unlist(lapply(ind.col.sup, function(k) seq(length(group.actif)*(k-1)+1,length=length(group.actif)))),]
inertie.intra.cg.sup <- inertie.intra.cg[ind.col.sup,1:ncp]
inertie.intra.cg.partiel.sup <- inertie.intra.cg.partiel[unlist(lapply(ind.col.sup, function(k) seq(length(group.actif)*(k-1)+1,length=length(group.actif)))),1:ncp]
bool.sup <- TRUE
}
if (!is.null(ind.col.act)) {
coord.quali.act <- coord.quali[ind.col.act,,drop=FALSE]
contrib.quali.act <- contrib.quali[ind.col.act,,drop=FALSE]
val.test.quali.act <- NULL
if (is.null(tab.comp)){
cos2.quali.act <- cos2.quali[ind.col.act,,drop=FALSE]
val.test.quali.act <- val.test.quali[ind.col.act,,drop=FALSE]
} else {
cos2.quali.act <- res.globale$quali.var$cos2
}
coord.quali.partiel.act <- coord.quali.partiel[unlist(lapply(ind.col.act, function(k) seq(length(group.actif)*(k-1)+1,length=length(group.actif)))),]
inertie.intra.cg.act <- inertie.intra.cg[ind.col.act,1:ncp]
inertie.intra.cg.partiel.act <- inertie.intra.cg.partiel[unlist(lapply(ind.col.act, function(k) seq(length(group.actif)*(k-1)+1,length=length(group.actif)))),1:ncp]
bool.act <- TRUE
}
if (bool.act) res.quali.var <- list(coord = coord.quali.act, contrib = contrib.quali.act, cos2 = cos2.quali.act, v.test = val.test.quali.act, coord.partiel = coord.quali.partiel.act, within.inertia = inertie.intra.cg.act, within.partial.inertia = inertie.intra.cg.partiel.act)
if (bool.sup) res.quali.var.sup <- list(coord = coord.quali.sup, cos2 = cos2.quali.sup, v.test = val.test.quali.sup, coord.partiel = coord.quali.partiel.sup, within.inertia = inertie.intra.cg.sup, within.partial.inertia = inertie.intra.cg.partiel.sup)
}
indice.quanti <- NULL
indice.freq <- NULL
num.tmp <- 0
for (g in group.actif) {
if (type[g] == "c") indice.quanti <- c(indice.quanti, c((num.tmp + 1):(num.tmp + group.mod[g])))
if (type[g] == "m"){
if (g==1) indice.quanti <- indice.quanti <- c(indice.quanti,c((num.tmp+1):(num.tmp+sum(sapply(base[,1:group[1],drop=FALSE],is.numeric)))))
else indice.quanti <- c(indice.quanti, c((num.tmp+1):(num.tmp+sum(sapply(base[,(sum(group[1:(g-1)])+1):sum(group[1:g]),drop=FALSE],is.numeric)))))
}
if (type[g] == "f") indice.freq <- c(indice.freq, c((num.tmp + 1):(num.tmp + group.mod[g])))
num.tmp <- num.tmp + group.mod[g]
}
res.quanti.var <- NULL
if (!is.null(indice.quanti)){
coord.quanti.var <- res.globale$var$coord[indice.quanti,1:ncp,drop=FALSE]
cos2.quanti.var <- res.globale$var$cos2[indice.quanti, 1:ncp,drop=FALSE]
contrib.quanti.var <- res.globale$var$contrib[indice.quanti, 1:ncp,drop=FALSE]
cor.quanti.var <- res.globale$var$cor[indice.quanti, 1:ncp,drop=FALSE]
res.quanti.var <- list(coord = coord.quanti.var, contrib = contrib.quanti.var, cos2 = cos2.quanti.var, cor = cor.quanti.var)
}
res.freq <- NULL
if (!is.null(indice.freq)){
coord.freq <- res.globale$var$coord[indice.freq,1:ncp,drop=FALSE]
cos2.freq <- res.globale$var$cos2[indice.freq, 1:ncp,drop=FALSE]
contrib.freq <- res.globale$var$contrib[indice.freq, 1:ncp,drop=FALSE]
res.freq <- list(coord = coord.freq, contrib = contrib.freq, cos2 = cos2.freq)
}
res.quanti.var.sup <- NULL
res.freq.sup <- NULL
if (!is.null(num.group.sup)){
num.tmp <- 0
indice.quanti <- NULL
indice.freq <- NULL
for (g in num.group.sup) {
if (type[g] == "c") indice.quanti <- c(indice.quanti, num.tmp + (1:group.mod[g]))
if (type[g] == "m") indice.quanti <- c(indice.quanti, num.tmp + (1:sum(list.type.var[[g]]=="quanti.sup")))
if (type[g]=="f") indice.freq <- c(indice.freq, c((num.tmp + 1):(num.tmp + group.mod[g])))
num.tmp <- num.tmp + group.mod[g]
}
if (!is.null(indice.quanti)){
coord.quanti.var.sup <- res.globale$quanti.sup$coord[indice.quanti,1:ncp,drop=FALSE]
cos2.quanti.var.sup <- res.globale$quanti.sup$cos2[indice.quanti, 1:ncp,drop=FALSE]
cor.quanti.var.sup <- res.globale$quanti.sup$cor[indice.quanti, 1:ncp,drop=FALSE]
res.quanti.var.sup <- list(coord = coord.quanti.var.sup, cos2 = cos2.quanti.var.sup, cor = cor.quanti.var.sup)
}
if (!is.null(indice.freq)){
coord.freq.sup <- res.globale$quanti.sup$coord[indice.freq,1:ncp,drop=FALSE]
cos2.freq.sup <- res.globale$quanti.sup$cos2[indice.freq, 1:ncp,drop=FALSE]
res.freq.sup <- list(coord = coord.freq.sup, cos2 = cos2.freq.sup)
}
}
aux <- res.separe[[1]]$ind$coord
name.aux <- paste(colnames(res.separe[[1]]$ind$coord),name.group[1],sep=".")
for (g in 2:nbre.group) {
aux <- cbind(aux,res.separe[[g]]$ind$coord)
name.aux <- c(name.aux,paste(colnames(res.separe[[g]]$ind$coord),name.group[g],sep="."))
}
cor.partial.axes <- cov.wt(aux,wt=row.w/sum(row.w),method="ML",cor=TRUE)$cor
dimnames(cor.partial.axes) <- list(name.aux,name.aux)
res.partial.axes <- list(coord = coord.res.partial.axes[, 1:ncp], cor = cor.res.partial.axes[, 1:ncp], contrib = contrib.res.partial.axes[, 1:ncp], cor.between = cor.partial.axes)
resultats <- list(separate.analyses = res.separe, eig = eig, group = res.groupes,
inertia.ratio = rap.inertie[1:ncp], ind = res.ind)
if (!is.null(ind.sup)) resultats$ind.sup <- res.ind.sup
if (!is.null(c(res.quanti.var,res.quanti.var.sup))) resultats$summary.quanti <- summary.c
if (!is.null(c(bool.act,bool.sup))) resultats$summary.quali <- summary.n
if (!is.null(res.quanti.var)) resultats$quanti.var <- res.quanti.var
if (!is.null(res.quanti.var.sup)) resultats$quanti.var.sup <- res.quanti.var.sup
if (!is.null(res.freq)) resultats$freq <- res.freq
if (!is.null(res.freq.sup)) resultats$freq.sup <- res.freq.sup
if (bool.act) resultats$quali.var <- res.quali.var
if (bool.sup) resultats$quali.var.sup <- res.quali.var.sup
resultats$partial.axes <- res.partial.axes
resultats$call <- call
resultats$call$call <- match.call()
resultats$global.pca <- res.globale
class(resultats) <- c("MFA", "list")
if (graph & (ncp>1)){
if (bool.act | bool.sup){
cg.plot.partial <- NULL
if (!is.null(resultats["quali.var"]$quali.var)){
max.inertia <- order(apply(resultats$quali.var$within.inertia[,1:2],1,sum))
cg.plot.partial <- rownames(resultats$quali.var$coord)[max.inertia[1:length(max.inertia)]]
}
if (!is.null(resultats$quali.var.sup)){
max.inertia <- order(apply(resultats$quali.var.sup$within.inertia[,1:2],1,sum))
cg.plot.partial <- c(cg.plot.partial,rownames(resultats$quali.var.sup$coord)[max.inertia[1:length(max.inertia)]])
}
print(plot.MFA(resultats,choix="ind",invisible="ind",partial=cg.plot.partial,habillage="group",axes=axes,new.plot=TRUE))
}
max.inertia <- order(apply(resultats$ind$within.inertia[,1:2],1,sum))
print(plot.MFA(resultats,choix="axes",habillage="group",axes=axes,new.plot=TRUE,shadowtext=TRUE))
print(plot.MFA(resultats,choix="ind",invisible="quali",partial=rownames(resultats$ind$coord)[max.inertia[c(1:2,nrow(resultats$ind$coord)-1,nrow(resultats$ind$coord))]],habillage="group",axes=axes,new.plot=TRUE))
if ("c"%in%type) print(plot.MFA(resultats,choix="var",habillage="group",axes=axes,new.plot=TRUE,shadowtext=TRUE))
if ("f"%in%type) print(plot.MFA(resultats,choix="freq",habillage="group",axes=axes,new.plot=TRUE))
print(plot.MFA(resultats,choix="ind",invisible="quali",habillage = "ind",axes=axes,new.plot=TRUE,col.hab=1+3*(1:nbre.ind)%in%ind.sup))
print(plot.MFA(resultats,choix="group",axes=axes,new.plot=TRUE))
}
return(resultats)
}
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