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R/plot.PCA.R
In FactoMineR: Multivariate Exploratory Data Analysis and Data Mining
plot.PCA <- function (x, axes = c(1, 2), choix = c("ind","var","varcor"),
ellipse = NULL, xlim = NULL, ylim = NULL, habillage = "none",
col.hab = NULL, col.ind = "black", col.ind.sup = "blue",
col.quali = "magenta", col.quanti.sup = "blue",
col.var = "black", label=c("all","none","ind", "ind.sup", "quali", "var", "quanti.sup"),
invisible = c("none","ind", "ind.sup", "quali","var", "quanti.sup"), lim.cos2.var = 0.,
title = NULL, palette=NULL, autoLab=c("auto","yes","no"),new.plot=FALSE,
select=NULL, unselect = 0.7,shadowtext = FALSE, legend = list(bty = "y", x = "topleft"),
graph.type = c("ggplot","classic"), ggoptions = NULL, ...){
res.pca <- x
argument <- list(...)
if (!is.null(argument[["cex"]]) & is.null(ggoptions["size"])) ggoptions["size"] <- 4*argument$cex
ggoptions_default <- list(size = 4, point.shape = 19, line.lty = 2, line.lwd = 0.5, line.color = "black", segment.lty = 1, segment.lwd = 0.5, circle.lty = 1, circle.lwd = 0.5, circle.color = "black", low.col.quanti = "blue", high.col.quanti = "red3")
if (!is.null(ggoptions[1])) ggoptions_default[names(ggoptions)] <- ggoptions[names(ggoptions)]
if (!inherits(res.pca, "PCA")) stop("non convenient data")
if (is.numeric(unselect)) if ((unselect>1)|(unselect<0)) stop("unselect should be betwwen 0 and 1")
autoLab <- match.arg(autoLab,c("auto","yes","no"))
if (autoLab == "yes") autoLab <- TRUE
if (autoLab == "no") autoLab <- FALSE
old.palette <- palette()
if (is.null(palette)) palette <- c("black", "red", "green3", "blue", "magenta", "darkgoldenrod","darkgray", "orange", "cyan", "violet", "lightpink", "lavender", "yellow", "darkgreen","turquoise", "lightgrey", "lightblue", "darkkhaki","darkmagenta","lightgreen", "darkolivegreen", "lightcyan", "darkorange","darkorchid", "darkred", "darksalmon", "darkseagreen","darkslateblue", "darkslategray", "darkslategrey","darkturquoise", "darkviolet", "lightgray", "lightsalmon","lightyellow", "maroon")
palette(palette) # that is necessary
label <- match.arg(label,c("all","none","ind", "ind.sup", "quali", "var", "quanti.sup"),several.ok=TRUE)
invisible <- match.arg(invisible,c("none","ind", "ind.sup", "quali","var", "quanti.sup"),several.ok=TRUE)
if ("none"%in%invisible) invisible <- NULL
choix <- match.arg(choix,c("ind","var","varcor"))
graph.type <- match.arg(graph.type[1],c("ggplot","classic"))
lab.ind <- lab.quali <- lab.var <- lab.quanti <- lab.ind.sup <- FALSE
if (length(label)==1 && label=="all") lab.ind <- lab.quali <- lab.var <- lab.quanti <- lab.ind.sup <-TRUE
if ("ind" %in% label) lab.ind<-TRUE
if ("quali" %in% label) lab.quali<-TRUE
if ("var" %in% label) lab.var<-TRUE
if ("quanti.sup" %in% label) lab.quanti<-TRUE
if ("ind.sup" %in% label) lab.ind.sup<-TRUE
lab.x <- paste("Dim ",axes[1]," (",format(res.pca$eig[axes[1],2],nsmall=2,digits=2),"%)",sep="")
lab.y <- paste("Dim ",axes[2]," (",format(res.pca$eig[axes[2],2],nsmall=2,digits=2),"%)",sep="")
if (graph.type == "ggplot"){
if(!is.null(col.hab)) palette <- col.hab
theme <- theme(
axis.title = element_text(hjust = 1, size = if (is.null(argument[["cex.axis"]])) {10} else {10*argument$cex.axis},face = 2),
plot.title = element_text(hjust = 0.5, size = if (is.null(argument[["cex.main"]])) {11} else {11*argument$cex.main},face = 2),
legend.position = ifelse(legend$x %in% c("bottom","up","right","left"), legend$x, "right"),
legend.box.spacing=unit(0.1, 'cm'),legend.margin=margin()
)
liste.quali <- colnames(res.pca$call$quali.sup$quali.sup)
liste.quanti <- colnames(res.pca$call$X)[which(!(colnames(res.pca$call$X) %in% liste.quali))]
hab_2 <- c(colnames(res.pca$call$X), "contrib", "cos2")
if((habillage != "none") && !(habillage[1] %in% hab_2) && (habillage != "ind")) habillage[1] <- colnames(res.pca$call$X)[as.numeric(habillage[1])]
if(habillage[1] != "none" && length(habillage) == 2){
if(!habillage[2] %in% hab_2) habillage[2] <- colnames(res.pca$call$X)[as.numeric(habillage[2])]
if (length(habillage) > 2) {
warning("Habillage must be either length 1 or 2 : only 2 first arguments will be used")
habillage <- habillage[1:2]
}
if ((length(habillage) == 2) & !("cos2" %in% habillage) & !("contrib" %in% habillage)){
if(!(habillage[2] %in% liste.quali)){
if (!(habillage[1] %in% liste.quali)){
habillage <- habillage[1]
}
else{
habillage <- habillage[2:1]
}
}}
if(length(habillage) == 1 && !(habillage %in% hab_2)) habillage <- as.numeric(habillage)
if((length(habillage) == 2) & (habillage[2] %in% c("contrib","cos2"))) habillage <- habillage[2:1]
if((length(habillage) == 2) & (habillage[1] %in% c("contrib","cos2")) & !(habillage[2] %in% hab_2)) habillage[2] <- colnames(res.pca$call$X)[as.integer(habillage[2])]
if(class(habillage[1]) %in% c("numeric","integer") && class(habillage[2]) %in% c("numeric","integer")) habillage <- c(colnames(res.pca$call$X)[habillage[1]],colnames(res.pca$call$X)[habillage[2]])
if(("cos2" %in% habillage) || ("contrib" %in% habillage)){
if((habillage[2] %in% liste.quanti) || (habillage[1] %in% liste.quanti)) habillage <- habillage[1]
}
if(("cos2" %in% habillage) && ("contrib" %in% habillage)) habillage <- habillage[1]
}
}
if (choix == "ind") {
if (is.null(title)) titre <- "PCA graph of individuals"
else titre <- title
coord.actif <- res.pca$ind$coord[, axes,drop=FALSE]
coord.illu <- coord.quali <- coord.ellipse <- NULL
if (!is.null(res.pca$ind.sup)) coord.illu <- res.pca$ind.sup$coord[, axes,drop=FALSE]
if (!is.null(res.pca$quali.sup)) coord.quali <- res.pca$quali.sup$coord[, axes,drop=FALSE]
if (!is.null(ellipse)) coord.ellipse <- ellipse$res
test.invisible <- vector(length = 2)
if (!is.null(invisible)) {
test.invisible[1] <- match("ind", invisible)
test.invisible[2] <- match("ind.sup", invisible)
test.invisible[3] <- match("quali", invisible)
}
else test.invisible <- rep(NA, 3)
nullxlimylim <- (is.null(xlim) & is.null(ylim))
if (is.null(xlim)) {
xmin <- xmax <- 0
if(is.na(test.invisible[1])) xmin <- min(xmin, coord.actif[,1])
if(is.na(test.invisible[1])) xmax <- max(xmax, coord.actif[,1])
if(!is.null(coord.illu)&is.na(test.invisible[2])) xmin <- min(xmin, coord.illu[, 1])
if(!is.null(coord.illu)&is.na(test.invisible[2])) xmax <- max(xmax, coord.illu[, 1])
if(!is.null(coord.quali)&is.na(test.invisible[3])) xmin <- min(xmin, coord.quali[, 1])
if(!is.null(coord.quali)&is.na(test.invisible[3])) xmax <- max(xmax, coord.quali[, 1])
if(!is.null(coord.ellipse)&is.na(test.invisible[3])) xmin <- min(xmin, coord.ellipse[, 2])
if(!is.null(coord.ellipse)&is.na(test.invisible[3])) xmax <- max(xmax, coord.ellipse[, 2])
# xlim <- c(xmin, xmax) * 1.2
xlim <- c(xmin, xmax)
xlim <- (xlim-mean(xlim))*1.2 + mean(xlim)
}
if (is.null(ylim)) {
ymin <- ymax <- 0
if(is.na(test.invisible[1])) ymin <- min(ymin, coord.actif[,2])
if(is.na(test.invisible[1])) ymax <- max(ymax, coord.actif[,2])
if(!is.null(coord.illu)&is.na(test.invisible[2])) ymin <- min(ymin, coord.illu[, 2])
if(!is.null(coord.illu)&is.na(test.invisible[2])) ymax <- max(ymax, coord.illu[, 2])
if(!is.null(coord.quali)&is.na(test.invisible[3])) ymin <- min(ymin, coord.quali[, 2])
if(!is.null(coord.quali)&is.na(test.invisible[3])) ymax <- max(ymax, coord.quali[, 2])
if(!is.null(coord.ellipse)&is.na(test.invisible[3])) ymin <- min(ymin, coord.ellipse[, 3])
if(!is.null(coord.ellipse)&is.na(test.invisible[3])) ymax <- max(ymax, coord.ellipse[, 3])
ylim <- c(ymin, ymax)
ylim <- (ylim-mean(ylim))*1.2 + mean(ylim)
}
if (nullxlimylim & diff(xlim)/diff(ylim)>3) ylim <- (ylim-mean(ylim))*diff(xlim)/diff(ylim)/3 + mean(ylim)
if (nullxlimylim & diff(xlim)/diff(ylim)<1/2) xlim <- (xlim-mean(xlim))*diff(ylim)/diff(xlim)/2 + mean(xlim)
if(graph.type=="ggplot") nudge_y <- (ylim[2] - ylim[1])*0.03
selection <- NULL
if (!is.null(select)) {
if (mode(select)=="numeric") selection <- select
else {
if (sum(rownames(res.pca$ind$coord)%in%select)+sum(rownames(res.pca$ind.sup$coord)%in%select)!=0) selection <- which(rownames(res.pca$ind$coord)%in%select)
else {
if (grepl("contrib",select[1])) selection <- (rev(order(res.pca$ind$contrib[,axes[1],drop=FALSE]*res.pca$eig[axes[1],1]+res.pca$ind$contrib[,axes[2],drop=FALSE]*res.pca$eig[axes[2],1])))[1:min(nrow(res.pca$ind$coord),sum(as.integer(unlist(strsplit(select,"contrib"))),na.rm=T))]
# if (grepl("contrib",select)) selection <- (rev(order(apply(res.pca$ind$contrib[,axes],1,sum))))[1:min(nrow(res.pca$ind$coord),sum(as.integer(unlist(strsplit(select,"contrib"))),na.rm=T))]
if (grepl("dist",select[1])) selection <- (rev(order(res.pca$ind$dist)))[1:min(nrow(res.pca$ind$coord),sum(as.integer(unlist(strsplit(select,"dist"))),na.rm=T))]
if (grepl("coord",select[1])) selection <- (rev(order(apply(res.pca$ind$coord[,axes]^2,1,sum))))[1:min(nrow(res.pca$ind$coord),sum(as.integer(unlist(strsplit(select,"coord"))),na.rm=T))]
if (grepl("cos2",select[1])) {
if (sum(as.numeric(unlist(strsplit(select,"cos2"))),na.rm=T)>=1) selection <- (rev(order(apply(res.pca$ind$cos2[,axes],1,sum))))[1:min(nrow(res.pca$ind$coord),sum(as.numeric(unlist(strsplit(select,"cos2"))),na.rm=T))]
else selection <- which(apply(res.pca$ind$cos2[,axes],1,sum)>sum(as.numeric(unlist(strsplit(select,"cos2"))),na.rm=T))
}
if (is.integer(select)) selection <- select
}
}
}
selectionS <- NULL
if ((!is.null(select))&(!is.null(res.pca$ind.sup$coord))&is.na(test.invisible[2])) {
if (mode(select)=="numeric") selectionS <- select
else {
if (sum(rownames(res.pca$ind$coord)%in%select)+sum(rownames(res.pca$ind.sup$coord)%in%select)!=0) selectionS <- which(rownames(res.pca$ind.sup$coord)%in%select)
else {
if (grepl("dist",select[1])) selectionS <- (rev(order(res.pca$ind.sup$dist)))[1:min(nrow(res.pca$ind.sup$coord),sum(as.integer(unlist(strsplit(select,"dist"))),na.rm=T))]
if (grepl("coord",select[1])) selectionS <- (rev(order(apply(res.pca$ind.sup$coord[,axes]^2,1,sum))))[1:min(nrow(res.pca$ind.sup$coord),sum(as.integer(unlist(strsplit(select,"coord"))),na.rm=T))]
if (grepl("cos2",select[1])) {
if (sum(as.numeric(unlist(strsplit(select,"cos2"))),na.rm=T)>=1) selectionS <- (rev(order(apply(res.pca$ind.sup$cos2[,axes,drop=FALSE],1,sum))))[1:min(nrow(res.pca$ind.sup$coord),sum(as.numeric(unlist(strsplit(select,"cos2"))),na.rm=T))]
else selectionS <- which(apply(res.pca$ind.sup$cos2[,axes,drop=FALSE],1,sum)>sum(as.numeric(unlist(strsplit(select,"cos2"))),na.rm=T))
}
if (is.integer(select)) selectionS <- select
}
}
}
## PARTIE GRAPHIQUE
if (graph.type =="ggplot") color.ind <- NULL
if ((new.plot)&!nzchar(Sys.getenv("RSTUDIO_USER_IDENTITY"))) dev.new(width=min(14,8*diff(xlim)/diff(ylim)),height=8)
if (is.null(palette)) palette <- (c("black","red","green3","blue","cyan","magenta","darkgray","darkgoldenrod","darkgreen","violet","turquoise","orange","lightpink","lavender","yellow","lightgreen","lightgrey","lightblue","darkkhaki", "darkmagenta","darkolivegreen","lightcyan", "darkorange", "darkorchid","darkred","darksalmon","darkseagreen","darkslateblue","darkslategray","darkslategrey","darkturquoise","darkviolet", "lightgray","lightsalmon","lightyellow", "maroon"))
if (habillage[1] == "none") {
color.ind <- rep(col.ind,nrow(coord.actif))
color.mod <- col.quali
if (!is.null(res.pca$ind.sup)&is.na(test.invisible[2])) color.ind.sup <- rep(col.ind.sup,nrow(res.pca$ind.sup$coord))
}
if (habillage[1] == "ind") {
if (is.null(coord.illu)){
if(length(col.hab) == nrow(coord.actif)) color.ind <- col.hab
else color.ind <- c(1:nrow(coord.actif))
} else{
if (length(col.hab)== nrow(coord.actif)+nrow(coord.illu)){
color.ind <- col.hab[-res.pca$call$ind.sup]
color.ind.sup <- col.hab[res.pca$call$ind.sup]
} else {
color.ind <- c(1:nrow(coord.actif))
color.ind.sup <- c((nrow(coord.actif)+1):(nrow(coord.actif)+nrow(coord.illu)))
}
}
color.mod <- "darkred"
}
liste.quali <- NULL
if ((habillage[1] != "none")&(habillage[1] != "ind")&(habillage[1] != "cos2")&(habillage[1] != "contrib")){
liste.quali <- colnames(res.pca$call$quali.sup$quali.sup)
if(!(class(res.pca$call$X[,habillage[1]])[1] %in% c("numeric","double","integer"))) {
if (is.numeric(habillage)) nom.quali <- colnames(res.pca$call$X)[habillage[1]]
else nom.quali <- habillage[1]
if (!(nom.quali %in% liste.quali)) stop("The variable ", habillage[1], " is not qualitative")
n.mod <- res.pca$call$quali.sup$modalite[liste.quali == nom.quali]
if (length(col.hab) != n.mod) {
color.mod <- c(1:n.mod)
color.ind <- as.numeric(as.factor(res.pca$call$X[, nom.quali]))
color.ind.sup <- color.ind[res.pca$call$ind.sup]
if (!is.null(res.pca$call$ind.sup)) color.ind <- color.ind[-res.pca$call$ind.sup]
}
else {
color.mod <- col.hab
color.ind <- as.factor(res.pca$call$X[, nom.quali])
levels(color.ind) <- col.hab
color.ind.sup <- color.ind[res.pca$call$ind.sup]
if (!is.null(res.pca$call$ind.sup)) color.ind <- color.ind[-res.pca$call$ind.sup]
color.ind <- as.character(color.ind)
}
}
if(class(res.pca$call$X[,habillage[1]])[1] %in% c("numeric","double","integer")){
if (graph.type == "classic") stop("The variable ", habillage[1], "is not qualitative")
liste.quanti <- colnames(res.pca$call$X[which(!(colnames(res.pca$call$X) %in% colnames(res.pca$call$quali.sup$quali.sup)))])
if (is.numeric(habillage[1])) nom.quanti <- colnames(res.pca$call$X)[habillage[1]]
else nom.quanti <- habillage[1]
if (!(nom.quanti %in% liste.quanti)) stop("The variable ", habillage[1], " is not quantitative")
}}
color.sup <- col.ind.sup
if (graph.type == "classic" & ((habillage == "cos2") || (habillage == "contrib"))) stop("The variable is not qualitative")
# graphe individuals factor map
if (graph.type == "classic") {
plot(0, 0, main = titre, xlab = lab.x, ylab = lab.y, xlim = xlim, ylim = ylim, col = "white", asp=1, ...)
abline(v=0,lty=2, ...)
abline(h=0,lty=2, ...)
#
}
coo <- labe <- coll <- ipch <- fonte <- NULL
df_ind2 <- df_ind_sup <- df_quali.sup <- NULL
if (is.na(test.invisible[1])) {
coo <- rbind(coo,coord.actif)
if (lab.ind){ labe <- c(labe,rownames(coord.actif))
} else labe <- c(labe,rep("",nrow(coord.actif)))
coll <- c(coll,color.ind)
ipch <- c(ipch,rep(20,nrow(coord.actif)))
fonte <- c(fonte,rep(1,nrow(coord.actif)))
if (!is.null(selection)){
if (is.numeric(unselect)) coll[!((1:length(coll))%in%selection)] <- rgb(t(col2rgb(coll[!((1:length(coll))%in%selection)])),alpha=255*(1-unselect),maxColorValue=255)
else coll[!((1:length(coll))%in%selection)] <- unselect
labe[!((1:length(coll))%in%selection)] <- ""
}
df_ind2 <- data.frame(labe,coord.actif,ipch,fonte)
}
if(graph.type == "ggplot") coll2 <- NULL
if (!is.null(res.pca$ind.sup) & is.na(test.invisible[2])) {
coo <- rbind(coo,res.pca$ind.sup$coord[,axes])
if (lab.ind.sup){ labe2 <- rownames(res.pca$ind.sup$coord)
} else labe2 <- rep("",nrow(res.pca$ind.sup$coord))
if (length(color.sup)>1) coll2 <- color.sup
else coll2 <- rep(color.sup,nrow(res.pca$ind.sup$coord))
if (!is.null(selectionS)){
if (is.numeric(unselect)) coll2[!((1:length(coll2))%in%selectionS)] <- rgb(t(col2rgb(coll2[!((1:length(coll2))%in%selectionS)])),alpha=255*(1-unselect),maxColorValue=255)
else coll2[!((1:length(coll2))%in%selectionS)] <- unselect
labe2[!((1:length(coll2))%in%selectionS)] <- ""
}
if (length(select)==1){
if (grepl("contrib",select)){
if (is.numeric(unselect)) coll2[1:length(coll2)] <- rgb(t(col2rgb(coll2[1:length(coll2)])),alpha=255*(1-unselect),maxColorValue=255)
else coll2[1:length(coll2)] <- unselect
labe2[1:length(coll2)] <- ""
}}
df_ind_sup <- data.frame(labe2, res.pca$ind.sup$coord[,axes], coll2, rep(1,nrow(res.pca$ind.sup$coord)), rep(3,nrow(res.pca$ind.sup$coord)))
coll <- c(coll,coll2)
labe <- c(labe,labe2)
ipch <- c(ipch,rep(1,nrow(res.pca$ind.sup$coord)))
fonte <- c(fonte,rep(3,nrow(res.pca$ind.sup$coord)))
}
if (!is.null(coord.quali) & is.na(test.invisible[3])) {
modalite <- res.pca$call$quali.sup$modalite
if (graph.type == "ggplot") col.quali <- col.quali
else{col.quali<-rep(col.quali, length(modalite))}
num.li <- 0
coo <- rbind(coo,coord.quali)
ipch <- c(ipch,rep(22,sum(modalite)))
if (lab.quali){ labe2 <- rownames(coord.quali)
} else labe2 <- rep("",sum(modalite))
labe <- c(labe,labe2)
fonte <- c(fonte,rep(3,sum(modalite)))
for (q in 1:length(modalite)) {
if ((habillage[1] != "none")&(habillage[1] != "ind")&(habillage[1] != "cos2")&(habillage[1] != "contrib")) {
if(!(class(res.pca$call$X[,habillage[1]])[1] %in% c("numeric","double","integer"))){
if (q == match(nom.quali, liste.quali)) coll2 <- color.mod
else coll2 <- rep(col.quali[1],modalite[q])
}} else coll2 <- rep(col.quali,modalite[q])
num.li <- num.li + modalite[q]
}
coll <- c(coll,coll2)
df_quali.sup <- data.frame(labe2, coord.quali, rep(22,nrow(coord.quali)), rep(3,nrow(coord.quali)))
}
# graphe individuals factor map, ajout des points
if (graph.type == "classic") {
points(coo[, 1], y = coo[, 2], pch = ipch, col = coll, ...)
}
if (graph.type == "ggplot") {
if (autoLab=="auto") autoLab <- (length(which(labe!=""))<50)
df_ind <- data.frame(labe,coo,ipch,fonte)
gg_graph <- ggplot() +
coord_fixed(ratio = 1) +
xlim(xlim) + ylim(ylim) +
geom_hline(yintercept = 0,lty=ggoptions_default$line.lty, lwd = ggoptions_default$line.lwd, color=ggoptions_default$line.color) +
geom_vline(xintercept = 0,lty=ggoptions_default$line.lty, lwd = ggoptions_default$line.lwd, color=ggoptions_default$line.color) +
theme_light() +
labs(title = titre, x = lab.x, y= lab.y)
if(!is.null(select)) df_ind2[,1] <- ifelse(rownames(df_ind2) %in% rownames(df_ind2)[selection], rownames(df_ind2), "")
transparency_ind <- col2rgb(col.ind,alpha=TRUE)[4]/255
if (!is.null(select)) transparency_ind <- ifelse(rownames(res.pca$ind$coord) %in% rownames(res.pca$ind$coord)[selection], transparency_ind, transparency_ind*(1-unselect))
if((!is.na(test.invisible[1])) & (habillage[1] != "none") & (is.null(legend["title"][[1]]))) legend["title"][[1]] <- habillage[1]
if (is.na(test.invisible[1])){
if (habillage[1] == "none" | habillage[1]=="ind"){
gg_graph <- gg_graph +
geom_point(aes(x=df_ind2[,2], y=df_ind2[,3]), color=color.ind, shape = ggoptions_default$point.shape, size = ggoptions_default$size/3, alpha = transparency_ind)
if(autoLab) text <- ggrepel::geom_text_repel(aes(x=df_ind2[,2], y=df_ind2[,3], label=df_ind2[,1]), size = ggoptions_default$size, color = color.ind)
else{text <- geom_text(aes(x=df_ind2[,2], y=df_ind2[,3], label=df_ind2[,1]), size = ggoptions_default$size, color = color.ind, hjust = (-sign(df_ind2[,2])+1)/2, vjust = -sign(df_ind2[,3])*0.75+0.25)}
}
if (length(habillage) == 1 & (habillage[1] != "none" | habillage[1]!="ind")){
if ((habillage %in% colnames(res.pca$call$X)) & !(habillage %in% liste.quali)){
df_ind2 <- data.frame(df_ind2, (res.pca$call$X)[rownames(df_ind2),habillage])
gg_graph <- gg_graph +
geom_point(aes(x=df_ind2[,2], y=df_ind2[,3], color = df_ind2[,6]), shape = ggoptions_default$point.shape, size = ggoptions_default$size/3, alpha = transparency_ind) +
scale_color_gradient(low=ggoptions_default$low.col.quanti, high=ggoptions_default$high.col.quanti) +
labs(color = ifelse(legend["title"] %in% legend, legend["title"][[1]], habillage))
if(autoLab) text <- ggrepel::geom_text_repel(aes(x=df_ind2[,2], y=df_ind2[,3], label=df_ind2[,1], color = df_ind2[,6]), size = ggoptions_default$size, show.legend = FALSE)
else{text <- geom_text(aes(x=df_ind2[,2], y=df_ind2[,3], label=df_ind2[,1], color = df_ind2[,6]), size = ggoptions_default$size, show.legend = FALSE, hjust = (-sign(df_ind2[,2])+1)/2, vjust = -sign(df_ind2[,3])*0.75+0.25)}
}
if (habillage %in% liste.quali){
df_ind2 <- data.frame(df_ind2, (res.pca$call$X)[rownames(df_ind2),habillage])
gg_graph <- gg_graph +
geom_point(aes(x=df_ind2[,2], y=df_ind2[,3], color = (res.pca$call$X)[rownames(df_ind2),habillage]), shape = ggoptions_default$point.shape, size = ggoptions_default$size/3, alpha = transparency_ind) +
scale_color_manual(values = palette[1:length(levels((res.pca$call$X)[,habillage]))]) +
labs(color = ifelse(legend["title"] %in% legend, legend["title"][[1]], habillage))
if (autoLab) text <- ggrepel::geom_text_repel(aes(x=df_ind2[,2], y=df_ind2[,3], label=df_ind2[,1], color = (res.pca$call$X)[rownames(res.pca$ind$coord),habillage[1]]), size = ggoptions_default$size, show.legend = FALSE)
else{text <- geom_text(aes(x=df_ind2[,2], y=df_ind2[,3], label=df_ind2[,1], color = (res.pca$call$X)[rownames(res.pca$ind$coord),habillage[1]]), size = ggoptions_default$size, show.legend = FALSE, hjust = (-sign(df_ind2[,2])+1)/2, vjust = -sign(df_ind2[,3])*0.75+0.25)}
}
if (habillage == "cos2"){
gg_graph <- gg_graph +
geom_point(aes(x=df_ind2[,2], y=df_ind2[,3], color = res.pca$ind$cos2[,axes[1]] + res.pca$ind$cos2[,axes[2]]), shape = ggoptions_default$point.shape, size = ggoptions_default$size/3, alpha = transparency_ind) +
scale_color_gradient(low=ggoptions_default$low.col.quanti, high=ggoptions_default$high.col.quanti) +
labs(color = ifelse(legend["title"] %in% legend, legend["title"][[1]], "cos2"))
if (autoLab) text <- ggrepel::geom_text_repel(aes(x=df_ind2[,2], y=df_ind2[,3], label=df_ind2[,1], color = res.pca$ind$cos2[,axes[1]] + res.pca$ind$cos2[,axes[2]]), size = ggoptions_default$size)
else{text <- geom_text(aes(x=df_ind2[,2], y=df_ind2[,3], label=df_ind2[,1], color = res.pca$ind$cos2[,axes[1]] + res.pca$ind$cos2[,axes[2]]), size = ggoptions_default$size, hjust = (-sign(df_ind2[,2])+1)/2, vjust = -sign(df_ind2[,3])*0.75+0.25)}
}
if (habillage == "contrib"){
gg_graph <- gg_graph +
geom_point(aes(x=df_ind2[,2], y=df_ind2[,3], color = (res.pca$ind$contrib[,axes[1]]*res.pca$eig[axes[1],1]+res.pca$ind$contrib[,axes[2]]*res.pca$eig[axes[2],1])/(res.pca$eig[axes[1],1]+res.pca$eig[axes[2],1])), shape = ggoptions_default$point.shape, size = ggoptions_default$size/3, alpha = transparency_ind) +
scale_color_gradient(low=ggoptions_default$low.col.quanti, high=ggoptions_default$high.col.quanti) +
labs(color = ifelse(legend["title"] %in% legend, legend["title"][[1]], "Ctr"))
if (autoLab) text <- ggrepel::geom_text_repel(aes(x=df_ind2[,2], y=df_ind2[,3], label=df_ind2[,1], color = (res.pca$ind$contrib[,axes[1]]*res.pca$eig[axes[1],1]+res.pca$ind$contrib[,axes[2]]*res.pca$eig[axes[2],1])/(res.pca$eig[axes[1],1]+res.pca$eig[axes[2],1])), size = ggoptions_default$size)
else{text <- geom_text(aes(x=df_ind2[,2], y=df_ind2[,3], label=df_ind2[,1], color = (res.pca$ind$contrib[,axes[1]]*res.pca$eig[axes[1],1]+res.pca$ind$contrib[,axes[2]]*res.pca$eig[axes[2],1])/(res.pca$eig[axes[1],1]+res.pca$eig[axes[2],1])), size = ggoptions_default$size, hjust = (-sign(df_ind2[,2])+1)/2, vjust = -sign(df_ind2[,3])*0.75+0.25)
}
}}
if(length(habillage) == 2 & habillage[1] != "none"){
if (!(habillage[1] %in% liste.quali)){
gg_graph <- gg_graph +
geom_point(aes(x=df_ind2[,2], y=df_ind2[,3], shape = res.pca$call$X[rownames(res.pca$ind$coord),habillage[2]], color = (res.pca$call$X)[rownames(res.pca$ind$coord),habillage[1]]), size = ggoptions_default$size/3, alpha = transparency_ind) +
scale_color_gradient(low=ggoptions_default$low.col.quanti, high=ggoptions_default$high.col.quanti) +
labs(color = habillage[1], shape = habillage[2])
if (autoLab) text <- ggrepel::geom_text_repel(aes(x=df_ind2[,2], y=df_ind2[,3], label=df_ind2[,1], color = (res.pca$call$X)[rownames(res.pca$ind$coord),habillage[1]]), size = ggoptions_default$size, show.legend = FALSE)
else{text <- geom_text(aes(x=df_ind2[,2], y=df_ind2[,3], label=df_ind2[,1], color = (res.pca$call$X)[rownames(res.pca$ind$coord),habillage[1]]), size = ggoptions_default$size, show.legend = FALSE, hjust = (-sign(df_ind2[,2])+1)/2, vjust = -sign(df_ind2[,3])*0.75+0.25)}
}
if (habillage[1] %in% liste.quali){
gg_graph <- gg_graph +
geom_point(aes(x=df_ind2[,2], y=df_ind2[,3], shape = res.pca$call$X[rownames(res.pca$ind$coord),habillage[2]], color = (res.pca$call$X)[rownames(res.pca$ind$coord),habillage[1]]), size = ggoptions_default$size/3, alpha = transparency_ind) +
scale_color_manual(values = palette[1:length(levels((res.pca$call$X)[,habillage[1]]))]) +
labs(color = habillage[1], shape = habillage[2])
if(autoLab) text <- ggrepel::geom_text_repel(aes(x=df_ind2[,2], y=df_ind2[,3], label=df_ind2[,1], color = (res.pca$call$X)[rownames(res.pca$ind$coord),habillage[1]]), size = ggoptions_default$size, show.legend = FALSE)
else{text <- geom_text(aes(x=df_ind2[,2], y=df_ind2[,3], label=df_ind2[,1], color = (res.pca$call$X)[rownames(res.pca$ind$coord),habillage[1]]), size = ggoptions_default$size, show.legend = FALSE, hjust = (-sign(df_ind2[,2])+1)/2, vjust = -sign(df_ind2[,3])*0.75+0.25)}
}
if (habillage[1] == "cos2"){
gg_graph <- gg_graph +
geom_point(aes(x=df_ind2[,2], y=df_ind2[,3], color = res.pca$ind$cos2[,axes[1]] + res.pca$ind$cos2[,axes[2]], shape = res.pca$call$X[rownames(res.pca$ind$coord),habillage[2]]), size = ggoptions_default$size/3, alpha = transparency_ind) +
scale_color_gradient(low=ggoptions_default$low.col.quanti, high=ggoptions_default$high.col.quanti) +
labs(color = habillage[1], shape = habillage[2])
if (autoLab) text <- ggrepel::geom_text_repel(aes(x=df_ind2[,2], y=df_ind2[,3], label=df_ind2[,1], color = res.pca$ind$cos2[,axes[1]] + res.pca$ind$cos2[,axes[2]]), size = ggoptions_default$size)
else{text <- geom_text(aes(x=df_ind2[,2], y=df_ind2[,3], label=df_ind2[,1], color = res.pca$ind$cos2[,axes[1]] + res.pca$ind$cos2[,axes[2]]), size = ggoptions_default$size, hjust = (-sign(df_ind2[,2])+1)/2, vjust = -sign(df_ind2[,3])*0.75+0.25)}
}
if (habillage[1] == "contrib"){
gg_graph <- gg_graph +
geom_point(aes(x=df_ind2[,2], y=df_ind2[,3], color = (res.pca$ind$contrib[,axes[1]]*res.pca$eig[axes[1],1]+res.pca$ind$contrib[,axes[2]]*res.pca$eig[axes[2],1])/(res.pca$eig[axes[1],1]+res.pca$eig[axes[2],1]), shape = res.pca$call$X[rownames(res.pca$ind$coord),habillage[2]]), size = ggoptions_default$size/3, alpha = transparency_ind) +
scale_color_gradient(low=ggoptions_default$low.col.quanti, high=ggoptions_default$high.col.quanti) +
labs(color = habillage[1], shape = habillage[2])
if (autoLab) text <- ggrepel::geom_text_repel(aes(x=df_ind2[,2], y=df_ind2[,3], label=df_ind2[,1], color = (res.pca$ind$contrib[,axes[1]]*res.pca$eig[axes[1],1]+res.pca$ind$contrib[,axes[2]]*res.pca$eig[axes[2],1])/(res.pca$eig[axes[1],1]+res.pca$eig[axes[2],1])), size = ggoptions_default$size)
else{text <- geom_text(aes(x=df_ind2[,2], y=df_ind2[,3], label=df_ind2[,1], color = (res.pca$ind$contrib[,axes[1]]*res.pca$eig[axes[1],1]+res.pca$ind$contrib[,axes[2]]*res.pca$eig[axes[2],1])/(res.pca$eig[axes[1],1]+res.pca$eig[axes[2],1])), size = ggoptions_default$size, hjust = (-sign(df_ind2[,2])+1)/2, vjust = -sign(df_ind2[,3])*0.75+0.25)
}
}
}
}
if (!is.na(test.invisible[1])){
gg_graph <- gg_graph +
labs(color = ifelse(legend["title"] %in% legend, legend["title"][[1]], habillage[1]))
}
gg_graph <- gg_graph + theme
if (is.na(test.invisible[1]) & isTRUE(lab.ind)) gg_graph <- gg_graph + text
if ((!is.null(res.pca$ind.sup)) && (is.na(test.invisible[2]))){
if(!is.null(select)) df_ind_sup[,1] <- ifelse(rownames(df_ind_sup) %in% rownames(df_ind_sup)[selectionS], rownames(df_ind_sup), "")
if(nrow(res.pca$ind.sup$coord) > 1){
if (isTRUE(lab.ind.sup)){
if (habillage[1] == "none"){ gg_graph <- gg_graph + geom_point(aes(x = df_ind_sup[,2], y = df_ind_sup[,3]), size = ggoptions_default$size/3, color = color.ind.sup, shape = 1)
if (autoLab) text_ind.sup <- ggrepel::geom_text_repel(aes(x = df_ind_sup[,2], y = df_ind_sup[,3], label=df_ind_sup[,1]), color = color.ind.sup, size = ggoptions_default$size, fontface = "italic")
else{text_ind.sup <- geom_text(aes(x = df_ind_sup[,2], y = df_ind_sup[,3], label=df_ind_sup[,1]), color = color.ind.sup, size = ggoptions_default$size, fontface = "italic",hjust = (-sign(df_ind_sup[,2])+1)/2, vjust = -sign(df_ind_sup[,3])*0.75+0.25)}
}
else{ if (habillage[1] == "cos2"){ gg_graph <- gg_graph + geom_point(aes(x = df_ind_sup[,2], y = df_ind_sup[,3], color = res.pca$ind.sup$cos2[,axes[1]] + res.pca$ind.sup$cos2[,axes[2]]), size = ggoptions_default$size/3, shape = 1)
if (autoLab) text_ind.sup <- ggrepel::geom_text_repel(aes(x = df_ind_sup[,2], y = df_ind_sup[,3], label=df_ind_sup[,1], color = res.pca$ind.sup$cos2[,axes[1]] + res.pca$ind.sup$cos2[,axes[2]]), size = ggoptions_default$size, fontface = "italic")
else{text_ind.sup <- geom_text(aes(x = df_ind_sup[,2], y = df_ind_sup[,3], label=df_ind_sup[,1], color = res.pca$ind.sup$cos2[,axes[1]] + res.pca$ind.sup$cos2[,axes[2]]), size = ggoptions_default$size, fontface = "italic", hjust = (-sign(df_ind_sup[,2])+1)/2, vjust = -sign(df_ind_sup[,3])*0.75+0.25)}
}
else{ if (habillage[1] == "contrib") text_ind.sup <- NULL #+ geom_point(aes(x = res.pca$ind.sup$coord[,axes[1]], y = res.pca$ind.sup$coord[,axes[2]], color = res.pca$ind$contrib[,axes[1]]*res.pca$eig[axes[1],1]+res.pca$ind$contrib[,axes[2]]*res.pca$eig[axes[2],1]), size = ggoptions_default$size/3, shape = 1)
else{gg_graph <- gg_graph + geom_point(aes(x = df_ind_sup[,2], y = df_ind_sup[,3], color = (res.pca$call$X)[rownames(res.pca$ind.sup$coord),habillage[1]]), size = ggoptions_default$size/3, shape = 1)
if (autoLab) text_ind.sup <- ggrepel::geom_text_repel(aes(x = df_ind_sup[,2], y = df_ind_sup[,3], label=df_ind_sup[,1], color = (res.pca$call$X)[rownames(res.pca$ind.sup$coord),habillage[1]]), size = ggoptions_default$size, fontface = "italic", show.legend = FALSE)
else{text_ind.sup <- geom_text(aes(x = df_ind_sup[,2], y = df_ind_sup[,3], label=df_ind_sup[,1], color = (res.pca$call$X)[rownames(res.pca$ind.sup$coord),habillage[1]]), size = ggoptions_default$size, fontface = "italic", show.legend = FALSE, hjust = (-sign(df_ind_sup[,2])+1)/2, vjust = -sign(df_ind_sup[,3])*0.75+0.25)
}}}}
gg_graph <- gg_graph + text_ind.sup
}
else{
gg_graph <- gg_graph +
geom_point(aes(x = df_ind_sup[,2], y = df_ind_sup[,3]), size = ggoptions_default$size/3, color = color.ind.sup)
}
}
else{ if(dim(res.pca$ind.sup$coord)[1] == 1){
if (is.null(select)) selectionS <- 1
if (isTRUE(lab.ind.sup)){
if (habillage[1] == "none") gg_graph <- gg_graph + geom_point(aes(x = res.pca$ind.sup$coord[,axes[1]], y = res.pca$ind.sup$coord[,axes[2]]), size = ggoptions_default$size/3, color = color.ind.sup, shape = 1) + ggrepel::geom_text_repel(aes(x = res.pca$ind.sup$coord[,axes[1]], y = res.pca$ind.sup$coord[,axes[2]], label=ifelse(!is.null(selectionS), rownames(res.pca$ind.sup$coord), "")), color = color.ind.sup, size = ggoptions_default$size, fontface = "italic")
else{ if (habillage[1] == "cos2") gg_graph <- gg_graph + geom_point(aes(x = res.pca$ind.sup$coord[,axes[1]], y = res.pca$ind.sup$coord[,axes[2]], color = res.pca$ind.sup$cos2[,axes[1]] + res.pca$ind.sup$cos2[,axes[2]]), size = ggoptions_default$size/3, shape = 1) + ggrepel::geom_text_repel(aes(x = res.pca$ind.sup$coord[,axes[1]], y = res.pca$ind.sup$coord[,axes[2]], label=ifelse(!is.null(selectionS), rownames(res.pca$ind.sup$coord), ""), color = res.pca$ind.sup$cos2[,axes[1]] + res.pca$ind.sup$cos2[,axes[2]]), size = ggoptions_default$size, fontface = "italic")
else{ if (habillage[1] == "contrib") gg_graph <- gg_graph #+ geom_point(aes(x = res.pca$ind.sup$coord[,axes[1]], y = res.pca$ind.sup$coord[,axes[2]], color = res.pca$ind$contrib[,axes[1]]*res.pca$eig[axes[1],1]+res.pca$ind$contrib[,axes[2]]*res.pca$eig[axes[2],1]), size = ggoptions_default$size/3, shape = 1)
else{gg_graph <- gg_graph + geom_point(aes(x = res.pca$ind.sup$coord[,axes[1]], y = res.pca$ind.sup$coord[,axes[2]], color = (res.pca$call$X)[rownames(res.pca$ind.sup$coord),habillage[1]]), size = ggoptions_default$size/3, shape = 1) + ggrepel::geom_text_repel(aes(x = res.pca$ind.sup$coord[,axes[1]], y = res.pca$ind.sup$coord[,axes[2]], label=ifelse(!is.null(selectionS), rownames(res.pca$ind.sup$coord), ""), color = (res.pca$call$X)[rownames(res.pca$ind.sup$coord),habillage[1]]), size = ggoptions_default$size, fontface = "italic", show.legend = FALSE)
}}}
}
else{
gg_graph <- gg_graph +
geom_point(aes(x = res.pca$ind.sup$coord[,axes[1]], y = res.pca$ind.sup$coord[,axes[2]]), size = ggoptions_default$size/3, color = color.ind.sup)
}
}
}
}
if ((!is.null(res.pca$quali.sup)) && (is.na(test.invisible[3]))){
if (isTRUE(lab.quali)){
if((habillage[1] == "none") || !(habillage[1] %in% liste.quali)){
gg_graph <- gg_graph +
geom_point(aes(x = df_quali.sup[,2], y = df_quali.sup[,3]), size = ggoptions_default$size/2.8, color = col.quali, shape = 0)
if (autoLab) text_quali.sup <- ggrepel::geom_text_repel(aes(x = df_quali.sup[,2], y = df_quali.sup[,3], label=df_quali.sup[,1]), color = col.quali, size = ggoptions_default$size, fontface = "italic")
else{text_quali.sup <- geom_text(aes(x = df_quali.sup[,2], y = df_quali.sup[,3], label=df_quali.sup[,1]), color = col.quali, size = ggoptions_default$size, fontface = "italic",hjust = (-sign(df_quali.sup[,2])+1)/2, vjust = -sign(df_quali.sup[,3])*0.75+0.25)}
gg_graph <- gg_graph + text_quali.sup
} else{
if ((habillage[1] %in% liste.quali) || (colnames(res.pca$call$X))[habillage[1]] %in% liste.quali) {
gg_graph <- gg_graph +
geom_point(aes(x = res.pca$quali.sup$coord[levels(res.pca$call$X[,habillage[1]]),axes[1]], y = res.pca$quali.sup$coord[levels(res.pca$call$X[,habillage[1]]),axes[2]]), size = ggoptions_default$size/2.8, color = palette[1:length(levels(res.pca$call$X[,habillage[1]]))], shape = 0)
if (autoLab) text_quali.sup <- ggrepel::geom_text_repel(aes(x = res.pca$quali.sup$coord[levels(res.pca$call$X[,habillage[1]]),axes[1]], y = res.pca$quali.sup$coord[levels(res.pca$call$X[,habillage[1]]),axes[2]], label=levels(res.pca$call$X[,habillage[1]])), color = palette[1:length(levels(res.pca$call$X[,habillage[1]]))], size = ggoptions_default$size, fontface = "italic")
else{text_quali.sup <- geom_text(aes(x = res.pca$quali.sup$coord[levels(res.pca$call$X[,habillage[1]]),axes[1]], y = res.pca$quali.sup$coord[levels(res.pca$call$X[,habillage[1]]),axes[2]], label=levels(res.pca$call$X[,habillage[1]])), color = palette[1:length(levels(res.pca$call$X[,habillage[1]]))], size = ggoptions_default$size, fontface = "italic",nudge_y=nudge_y,hjust = (-sign(df_quali.sup[levels(res.pca$call$X[,habillage[1]]),2])+1)/2, vjust = -sign(df_quali.sup[levels(res.pca$call$X[,habillage[1]]),3])*0.75+0.25)}
gg_graph <- gg_graph + text_quali.sup
}
if(length(liste.quali) > 1){
gg_graph <- gg_graph +
geom_point(aes(x = res.pca$quali.sup$coord[which(!(rownames(res.pca$quali.sup$coord) %in% levels(res.pca$call$X[,habillage[1]]))),axes[1]], y = res.pca$quali.sup$coord[which(!(rownames(res.pca$quali.sup$coord) %in% levels(res.pca$call$X[,habillage[1]]))),axes[2]]), size = ggoptions_default$size/2.8, color = col.quali, shape = 0)
if (autoLab) text_quali.sup <- ggrepel::geom_text_repel(aes(x = res.pca$quali.sup$coord[which(!(rownames(res.pca$quali.sup$coord) %in% levels(res.pca$call$X[,habillage[1]]))),axes[1]], y = res.pca$quali.sup$coord[which(!(rownames(res.pca$quali.sup$coord) %in% levels(res.pca$call$X[,habillage[1]]))),axes[2]], label = rownames(res.pca$quali.sup$coord)[which(!(rownames(res.pca$quali.sup$coord) %in% levels(res.pca$call$X[,habillage[1]])))]), color = col.quali, size = ggoptions_default$size, fontface = "italic")
else{text_quali.sup <- geom_text(aes(x = res.pca$quali.sup$coord[which(!(rownames(res.pca$quali.sup$coord) %in% levels(res.pca$call$X[,habillage[1]]))),axes[1]], y = res.pca$quali.sup$coord[which(!(rownames(res.pca$quali.sup$coord) %in% levels(res.pca$call$X[,habillage[1]]))),axes[2]], label = rownames(res.pca$quali.sup$coord)[which(!(rownames(res.pca$quali.sup$coord) %in% levels(res.pca$call$X[,habillage[1]])))]), color = col.quali, size = ggoptions_default$size, fontface = "italic",nudge_y=nudge_y,hjust = (-sign(df_quali.sup[which(!(rownames(res.pca$quali.sup$coord) %in% levels(res.pca$call$X[,habillage[1]]))),2])+1)/2, vjust = -sign(df_quali.sup[which(!(rownames(res.pca$quali.sup$coord) %in% levels(res.pca$call$X[,habillage[1]]))),3])*0.75+0.25)}
gg_graph <- gg_graph + text_quali.sup
}
}
} else{
gg_graph <- gg_graph +
geom_point(aes(x = df_quali.sup[,2], y = df_quali.sup[,3]), size = ggoptions_default$size/2.8, color = col.quali, shape = 0)
}
}
}
if (graph.type == "classic"){
if (any(labe!="")){
if (autoLab=="auto") autoLab <- (length(which(labe!=""))<50)
if (autoLab ==TRUE) autoLab(coo[labe!="", 1], y = coo[labe!="", 2], labels = labe[labe!=""], col = coll[labe!=""], font=fonte[labe!=""],shadotext=shadowtext,...)
if (autoLab ==FALSE) text(coo[labe!="", 1], y = coo[labe!="", 2], labels = labe[labe!=""], col = coll[labe!=""], font=fonte[labe!=""],pos=3,...)
}}
if (!is.null(ellipse)) {
nbre.ellipse <- nlevels(coord.ellipse[, 1])
for (e in 1:nbre.ellipse) {
data.elli <- coord.ellipse[ellipse$res[, 1] == levels(coord.ellipse[, 1])[e], -1]
if(graph.type=="classic"){
if ((habillage[1] != "none")&(habillage[1] != "ind")) lines(x=data.elli[, 1], y = data.elli[, 2], col = palette[color.mod[e]],...)
else lines(x=data.elli[, 1], y = data.elli[, 2], col = palette[col.quali],...)}
else{
if(graph.type=="ggplot"){
if (habillage[1] != "none"){
gg_graph <- gg_graph + geom_path(aes_string(x=data.elli[,1],y=data.elli[,2]), color = palette[color.mod[e]])
}
else {
gg_graph <- gg_graph + geom_path(aes_string(x=data.elli[,1],y=data.elli[,2]), color = palette[col.quali])
}
}
}
}
}
# if ((habillage != "none")&(habillage != "ind")) legend("topleft",legend= levels(res.pca$call$X[,habillage]),text.col= color.mod,cex=par("cex")*0.8)
if ((habillage[1] != "none") & (habillage[1] != "ind") & (habillage[1] != "cos2") & (habillage[1] != "contrib") & (graph.type == "classic")) {
L <- list(x="topleft", legend = levels(res.pca$call$X[, habillage[1]]), text.col = color.mod, cex = par("cex") * 0.8)
L <- modifyList(L, legend)
do.call(graphics::legend, L)
}
}
if (choix == "varcor") {
sauv <- res.pca$var$coord
res.pca$var$coord <- res.pca$var$cor
if (!is.null(res.pca$quanti.sup)) res.pca$quanti.sup$coord <- res.pca$quanti.sup$cor
res.pca$call$scale.unit <- TRUE
}
if ((choix == "var")||(choix == "varcor")) {
if (is.null(title)) titre <- "PCA graph of variables"
else titre <- title
selection <- selectionS <- NULL
if (!is.null(select)) {
if (mode(select)=="numeric") selection <- select
else {
if (sum(rownames(res.pca$var$coord)%in%select)+sum(rownames(res.pca$quanti.sup$coord)%in%select)!=0) selection <- which(rownames(res.pca$var$coord)%in%select)
else {
if (grepl("contrib",select[1])) selection <- (rev(order(res.pca$var$contrib[,axes[1]]*res.pca$eig[axes[1],1]+res.pca$var$contrib[,axes[2]]*res.pca$eig[axes[2],1])))[1:min(nrow(res.pca$var$coord),sum(as.integer(unlist(strsplit(select,"contrib"))),na.rm=T))]
if (grepl("coord",select[1])) selection <- (rev(order(apply(res.pca$var$coord[,axes]^2,1,sum))))[1:min(nrow(res.pca$var$coord),sum(as.integer(unlist(strsplit(select,"coord"))),na.rm=T))]
if (grepl("cos2",select[1])) {
if (sum(as.numeric(unlist(strsplit(select,"cos2"))),na.rm=T)>=1) selection <- (rev(order(apply(res.pca$var$cos2[,axes],1,sum))))[1:min(nrow(res.pca$var$coord),sum(as.numeric(unlist(strsplit(select,"cos2"))),na.rm=T))]
else selection <- which(apply(res.pca$var$cos2[,axes],1,sum)>sum(as.numeric(unlist(strsplit(select,"cos2"))),na.rm=T))
}
if (is.integer(select)) selection <- select
}
}
}
if ((!is.null(select))&(!is.null(res.pca$quanti.sup))) {
if (mode(select)=="numeric") selectionS <- select
else {
if (sum(rownames(res.pca$var$coord)%in%select)+sum(rownames(res.pca$quanti.sup$coord)%in%select)!=0) selectionS <- which(rownames(res.pca$quanti.sup$coord)%in%select)
else {
if (grepl("contrib",select[1])) selectionS <- NULL
if (grepl("coord",select[1])) selectionS <- (rev(order(apply(res.pca$quanti.sup$coord[,axes]^2,1,sum))))[1:min(nrow(res.pca$quanti.sup$coord),sum(as.integer(unlist(strsplit(select,"coord"))),na.rm=T))]
if (grepl("cos2",select[1])) {
if (sum(as.numeric(unlist(strsplit(select,"cos2"))),na.rm=T)>=1) selectionS <- (rev(order(apply(res.pca$quanti.sup$cos2[,axes],1,sum))))[1:min(nrow(res.pca$quanti.sup$coord),sum(as.numeric(unlist(strsplit(select,"cos2"))),na.rm=T))]
else selectionS <- which(apply(res.pca$quanti.sup$cos2[,axes],1,sum)>sum(as.numeric(unlist(strsplit(select,"cos2"))),na.rm=T))
}
if (is.integer(select)) selectionS <- select
}
}
}
test.invisible <- vector(length = 2)
if (!is.null(invisible)) {
test.invisible[1] <- match("var", invisible)
test.invisible[2] <- match("quanti.sup", invisible)
}
else test.invisible <- rep(NA, 2)
scale.unit <- res.pca$call$scale.unit
coord.var <- res.pca$var$coord[, axes,drop=FALSE]
if (!is.null(res.pca$quanti.sup)) coord.quanti <- res.pca$quanti.sup$coord[, axes, drop=FALSE]
else coord.quanti <- NULL
if (scale.unit) xlim <- ylim <- c(-1, 1)
else {
xmin <- min(0,coord.var[, 1], coord.quanti[, 1])
xmax <- max(0,coord.var[, 1], coord.quanti[, 1])
ymin <- min(0,coord.var[, 2], coord.quanti[, 2])
ymax <- max(0,coord.var[, 2], coord.quanti[, 2])
xlim <- c(xmin, xmax) * 1.2
ylim <- c(ymin, ymax) * 1.2
}
if ((new.plot)&!nzchar(Sys.getenv("RSTUDIO_USER_IDENTITY"))) dev.new()
if (is.null(palette)) palette(c("black","red","green3","blue","cyan","magenta","darkgray","darkgoldenrod","darkgreen","violet","turquoise","orange","lightpink","lavender","yellow","lightgreen","lightgrey","lightblue","darkkhaki", "darkmagenta","darkolivegreen","lightcyan", "darkorange", "darkorchid","darkred","darksalmon","darkseagreen","darkslateblue","darkslategray","darkslategrey","darkturquoise","darkviolet", "lightgray","lightsalmon","lightyellow", "maroon"))
# cercle variables factor map
if (graph.type == "classic") {
if (scale.unit) {
plot(0, 0, xlab = lab.x, ylab = lab.y, xlim = xlim, ylim = ylim, col = "white", asp=1, main=titre,...)
x.cercle <- seq(-1, 1, by = 0.01)
y.cercle <- sqrt(1 - x.cercle^2)
lines(x.cercle, y = y.cercle,...)
lines(x.cercle, y = -y.cercle,...)
}
else {
plot(0, 0, main = titre, xlab = lab.x, ylab = lab.y, xlim = xlim, ylim = ylim, col = "white", asp=1, ...)
}
abline(v=0,lty=2,...)
abline(h=0,lty=2,...)
}
#
coll <- coo <- labe <- posi <- NULL
if (!is.null(coord.var[ which(apply(res.pca$var$cos2[, axes,drop=FALSE],1,sum, na.rm = TRUE) >= lim.cos2.var),])&is.na(test.invisible[1])&(nrow(coord.var)>0)){
coord.var <- coord.var[ which(apply(res.pca$var$cos2[, axes,drop=FALSE],1,sum, na.rm = TRUE) >= lim.cos2.var),,drop=FALSE]
coo <- coord.var
if (length(col.var)==1) coll <- c(coll,rep(col.var,nrow(coord.var)))
else coll <- col.var
if (!is.null(col.hab)) coll <- col.hab[which(colnames(res.pca$call$X)%in%rownames(res.pca$var$coord))]
if (lab.var){ labe <- c(labe,rownames(coord.var))
} else labe <- c(labe,rep("",nrow(coord.var)))
if (!is.null(selection)){
if (is.numeric(unselect)) coll[!((1:length(coll))%in%selection)] <- rgb(t(col2rgb(coll[!((1:length(coll))%in%selection)])),alpha=255*(1-unselect),maxColorValue=255)
else coll[!((1:length(coll))%in%selection)] <- unselect
labe[!((1:length(coll))%in%selection)] <- ""
}
if(graph.type == "ggplot"){
df_var <- df_quanti.sup <- NULL
df_var <- data.frame(labe,coord.var,coll)
} else {
for (v in 1:nrow(coord.var)) {
arrows(0, 0, coord.var[v, 1], coord.var[v, 2], length = 0.1, angle = 15, code = 2, col = coll[v])
if (lab.var) {
if (abs(coord.var[v,1])>abs(coord.var[v,2])){
if (coord.var[v,1]>=0) posi<-c(posi,4)
else posi<-c(posi,2)
}
else {
if (coord.var[v,2]>=0) posi<-c(posi,3)
else posi<-c(posi,1)
}
}
}
}
}
#
if (!is.null(coord.quanti)){
if (!is.null(coord.quanti[ which(apply(res.pca$quanti.sup$cos2[, axes,drop=FALSE],1,sum, na.rm = TRUE) >= lim.cos2.var),])& is.na(test.invisible[2]) & (nrow(coord.quanti)>0)) {
coord.quanti <- coord.quanti[ which(apply(res.pca$quanti.sup$cos2[, axes,drop=FALSE],1,sum, na.rm = TRUE) >= lim.cos2.var),,drop=FALSE]
coo <- rbind(coo,coord.quanti)
if (length(col.quanti.sup)==1) col.quanti.sup<-rep(col.quanti.sup, nrow(coord.quanti))
if (is.null(col.hab)) coll2 <- col.quanti.sup
else coll2 <- col.hab[which(colnames(res.pca$call$X)%in%colnames(res.pca$call$quanti.sup))]
if (lab.quanti){ labe2 <- rownames(coord.quanti)
} else labe2 <- rep("",nrow(coord.quanti))
if (length(select)==1){
if (grepl("contrib",select)){
if (is.numeric(unselect)) coll2[1:length(coll2)] <- rgb(t(col2rgb(coll2[1:length(coll2)])),alpha=255*(1-unselect),maxColorValue=255)
else coll2[1:length(coll2)] <- unselect
labe2[1:length(coll2)] <- ""
}}
if (!is.null(selectionS)){
if (is.numeric(unselect)) coll2[!((1:length(coll2))%in%selectionS)] <- rgb(t(col2rgb(coll2[!((1:length(coll2))%in%selectionS)])),alpha=255*(1-unselect),maxColorValue=255)
else coll2[!((1:length(coll2))%in%selectionS)] <- unselect
labe2[!((1:length(coll2))%in%selectionS)] <- ""
}
if (graph.type == "ggplot") df_quanti.sup <- data.frame(labe2,coord.quanti,coll2)
#
if (graph.type == "classic"){
for (q in 1:nrow(coord.quanti)) {
arrows(0, 0, coord.quanti[q, 1], coord.quanti[q, 2], length = 0.1, angle = 15, code = 2, lty = 2, col=coll2[q])
#
if (lab.quanti) {
if (abs(coord.quanti[q,1])>abs(coord.quanti[q,2])){
if (coord.quanti[q,1]>=0) posi<-c(posi,4)
else posi<-c(posi,2)
}
else {
if (coord.quanti[q,2]>=0) posi<-c(posi,3)
else posi<-c(posi,1)
}
}
}}
labe <- c(labe,labe2)
coll <- c(coll,coll2)
}
}
if (graph.type == "classic"){
if (any(labe!="")){
if (autoLab=="auto") autoLab <- (length(which(labe!=""))<50)
if (autoLab==FALSE) text(coo[labe!="", 1], y = coo[labe!="", 2], labels = labe[labe!=""], pos = posi[labe!=""], col = coll[labe!=""],...)
if (autoLab==TRUE) autoLab(coo[labe!="", 1], y = coo[labe!="", 2], labels = labe[labe!=""], col = coll[labe!=""], shadotext=shadowtext,...)
}
} else {
if((!is.na(test.invisible[1])) & (habillage[1] != "none") & (is.null(legend["title"][[1]]))){
legend["title"][[1]] <- habillage[1]}
if (autoLab=="auto") autoLab <- (length(which(labe!=""))<50)
if (length(habillage) != 1){
warning("Habillage must be length 1")
habillage <- habillage[1]
}
if (!(habillage[1] %in% c("contrib","cos2","none"))){
warning("Habillage must be in c('contrib','cos2','none')")
habillage <- "none"
}
circle <- annotate("path",
x=0+1*cos(seq(0,2*pi,length.out=100)),
y=0+1*sin(seq(0,2*pi,length.out=100)),
lty = ggoptions_default$circle.lty,
lwd = ggoptions_default$circle.lwd,
color = ggoptions_default$circle.color)
transparency_var <- ifelse(rownames(res.pca$var$coord) %in% labe, 1, 1-unselect)
gg_graph <- ggplot() +
coord_fixed(ratio = 1) +
geom_line(aes(x=x, y=y), data=data.frame(x=-1:1,y=0),lty=ggoptions_default$line.lty, lwd = ggoptions_default$line.lwd, color=ggoptions_default$line.color) +
geom_line(aes(x=x, y=y), data=data.frame(x=0,y=-1:1),lty=ggoptions_default$line.lty, lwd = ggoptions_default$line.lwd, color=ggoptions_default$line.color) +
theme_light()
if (is.na(test.invisible[1])){
if (((habillage[1] != "contrib") & (habillage[1] != "cos2"))) {
gg_graph <- gg_graph +
aes(x=df_var[,2], y=df_var[,3]) +
geom_segment(aes(x=0,y=0,xend=df_var[,2], yend=df_var[,3]),arrow=arrow(length=unit(0.2,"cm")),alpha = transparency_var, lty = ggoptions_default$segment.lty, lwd = ggoptions_default$segment.lwd, color=col.var)
if(autoLab) text <- ggrepel::geom_text_repel(aes(x=df_var[,2], y=df_var[,3],label=df_var[,1]), size = ggoptions_default$size, color = col.var)
else{text <- geom_text(aes(x=df_var[,2], y=df_var[,3],label=df_var[,1]), size = ggoptions_default$size, color = col.var, hjust = (-sign(df_var[,2])+1)/2, vjust = -sign(df_var[,3])*0.75+0.25)}
}
if (habillage[1] == "cos2" || habillage[1] == "contrib"){
if (habillage[1] == "cos2") df_var[,4] <- res.pca$var$cos2[,axes[1]] + res.pca$var$cos2[,axes[2]]
if (habillage[1] == "contrib") df_var[,4] <- (res.pca$var$contrib[,axes[1]]*res.pca$eig[axes[1],1]+res.pca$var$contrib[,axes[2]]*res.pca$eig[axes[2],1])/(res.pca$eig[axes[1],1]+res.pca$eig[axes[2],1])
gg_graph <- gg_graph +
aes(x=df_var[,2], y=df_var[,3],color = df_var[,4]) +
geom_segment(aes(x=0,y=0,xend=df_var[,2], yend=df_var[,3],col = df_var[,4]),arrow=arrow(length=unit(0.2,"cm")), alpha = transparency_var, lty = ggoptions_default$segment.lty, lwd = ggoptions_default$segment.lwd) +
scale_color_gradient(low=ggoptions_default$low.col.quanti, high=ggoptions_default$high.col.quanti)
if (habillage[1] == "cos2") gg_graph <- gg_graph + labs(color = ifelse(legend["title"] %in% legend, legend["title"][[1]], "cos2"))
if (habillage[1] == "contrib") gg_graph <- gg_graph + labs(color = ifelse(legend["title"] %in% legend, legend["title"][[1]], "Ctr"))
if(autoLab) text <- ggrepel::geom_text_repel(aes(x=df_var[,2], y=df_var[,3],label=df_var[,1], color = df_var[,4]), size = ggoptions_default$size)
else{text <- geom_text(aes(x=df_var[,2], y=df_var[,3],label=df_var[,1], color = df_var[,4]), size = ggoptions_default$size, hjust = (-sign(df_var[,2])+1)/2, vjust = -sign(df_var[,3])*0.75+0.25)}
}
}
if (!is.na(test.invisible[1])){
gg_graph <- gg_graph +
labs(color = legend["title"][[1]])
}
if ((!is.null(res.pca$quanti.sup))&(is.na(test.invisible[2]))){
transparency_quanti <- ifelse(rownames(res.pca$quanti.sup$coord) %in% labe, 1, 1-unselect)
if (isTRUE(lab.quanti)){
if(habillage[1] == "contrib") text_quanti.sup <- NULL
if (habillage[1] == "none"){ gg_graph <- gg_graph + geom_segment(aes(x=0,y=0,xend=df_quanti.sup[,2], yend=df_quanti.sup[,3]),arrow=arrow(length=unit(0.2,"cm")),lty = 2, color = col.quanti.sup,alpha = transparency_quanti)
if (autoLab) text_quanti.sup <- ggrepel::geom_text_repel(aes(x = df_quanti.sup[,2], y = df_quanti.sup[,3], label=df_quanti.sup[,1]), color = col.quanti.sup, size = ggoptions_default$size,alpha = transparency_quanti)
else{text_quanti.sup <- geom_text(aes(x = df_quanti.sup[,2], y = df_quanti.sup[,3], label=df_quanti.sup[,1]), color = col.quanti.sup, size = ggoptions_default$size,hjust = (-sign(df_quanti.sup[,2])+1)/2, vjust = -sign(df_quanti.sup[,3])*0.75+0.25,alpha = transparency_quanti)}
}
if (habillage[1] == "cos2"){gg_graph <- gg_graph + geom_segment(aes(x=0,y=0,xend=df_quanti.sup[,2], yend=df_quanti.sup[,3], color = res.pca$quanti.sup$cos2[,axes[1]] + res.pca$quanti.sup$cos2[,axes[2]]),arrow=arrow(length=unit(0.2,"cm")),lty = 2,alpha = transparency_quanti)
if (autoLab) text_quanti.sup <- ggrepel::geom_text_repel(aes(x = df_quanti.sup[,2], y = df_quanti.sup[,3], label=df_quanti.sup[,1], color = res.pca$quanti.sup$cos2[,axes[1]] + res.pca$quanti.sup$cos2[,axes[2]]), size = ggoptions_default$size,alpha = transparency_quanti)
else{text_quanti.sup <- geom_text(aes(x = df_quanti.sup[,2], y = df_quanti.sup[,3], label=df_quanti.sup[,1], color = res.pca$quanti.sup$cos2[,axes[1]] + res.pca$quanti.sup$cos2[,axes[2]]), size = ggoptions_default$size,hjust = (-sign(df_quanti.sup[,2])+1)/2, vjust = -sign(df_quanti.sup[,3])*0.75+0.25,alpha = transparency_quanti)}
}
gg_graph <- gg_graph + text_quanti.sup
} else{
gg_graph <- gg_graph +
geom_segment(aes(x=0,y=0,xend=df_quanti.sup[,2], yend=df_quanti.sup[,3]),arrow=arrow(length=unit(0.2,"cm")),lty = 2, color = col.quanti.sup)
}
}
gg_graph <- gg_graph + theme + circle + labs(title = titre, x = lab.x, y= lab.y)
if (is.na(test.invisible[1]) & (isTRUE(lab.var))) gg_graph <- gg_graph + text
}
}
palette(old.palette)
if(graph.type == "ggplot") return(gg_graph)
}
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plot.PCA <- function (x, axes = c(1, 2), choix = c("ind","var","varcor"),
ellipse = NULL, xlim = NULL, ylim = NULL, habillage = "none",
col.hab = NULL, col.ind = "black", col.ind.sup = "blue",
col.quali = "magenta", col.quanti.sup = "blue",
col.var = "black", label=c("all","none","ind", "ind.sup", "quali", "var", "quanti.sup"),
invisible = c("none","ind", "ind.sup", "quali","var", "quanti.sup"), lim.cos2.var = 0.,
title = NULL, palette=NULL, autoLab=c("auto","yes","no"),new.plot=FALSE,
select=NULL, unselect = 0.7,shadowtext = FALSE, legend = list(bty = "y", x = "topleft"),
graph.type = c("ggplot","classic"), ggoptions = NULL, ...){
res.pca <- x
argument <- list(...)
if (!is.null(argument[["cex"]]) & is.null(ggoptions["size"])) ggoptions["size"] <- 4*argument$cex
ggoptions_default <- list(size = 4, point.shape = 19, line.lty = 2, line.lwd = 0.5, line.color = "black", segment.lty = 1, segment.lwd = 0.5, circle.lty = 1, circle.lwd = 0.5, circle.color = "black", low.col.quanti = "blue", high.col.quanti = "red3")
if (!is.null(ggoptions[1])) ggoptions_default[names(ggoptions)] <- ggoptions[names(ggoptions)]
if (!inherits(res.pca, "PCA")) stop("non convenient data")
if (is.numeric(unselect)) if ((unselect>1)|(unselect<0)) stop("unselect should be betwwen 0 and 1")
autoLab <- match.arg(autoLab,c("auto","yes","no"))
if (autoLab == "yes") autoLab <- TRUE
if (autoLab == "no") autoLab <- FALSE
old.palette <- palette()
if (is.null(palette)) palette <- c("black", "red", "green3", "blue", "magenta", "darkgoldenrod","darkgray", "orange", "cyan", "violet", "lightpink", "lavender", "yellow", "darkgreen","turquoise", "lightgrey", "lightblue", "darkkhaki","darkmagenta","lightgreen", "darkolivegreen", "lightcyan", "darkorange","darkorchid", "darkred", "darksalmon", "darkseagreen","darkslateblue", "darkslategray", "darkslategrey","darkturquoise", "darkviolet", "lightgray", "lightsalmon","lightyellow", "maroon")
palette(palette) # that is necessary
label <- match.arg(label,c("all","none","ind", "ind.sup", "quali", "var", "quanti.sup"),several.ok=TRUE)
invisible <- match.arg(invisible,c("none","ind", "ind.sup", "quali","var", "quanti.sup"),several.ok=TRUE)
if ("none"%in%invisible) invisible <- NULL
choix <- match.arg(choix,c("ind","var","varcor"))
graph.type <- match.arg(graph.type[1],c("ggplot","classic"))
lab.ind <- lab.quali <- lab.var <- lab.quanti <- lab.ind.sup <- FALSE
if (length(label)==1 && label=="all") lab.ind <- lab.quali <- lab.var <- lab.quanti <- lab.ind.sup <-TRUE
if ("ind" %in% label) lab.ind<-TRUE
if ("quali" %in% label) lab.quali<-TRUE
if ("var" %in% label) lab.var<-TRUE
if ("quanti.sup" %in% label) lab.quanti<-TRUE
if ("ind.sup" %in% label) lab.ind.sup<-TRUE
lab.x <- paste("Dim ",axes[1]," (",format(res.pca$eig[axes[1],2],nsmall=2,digits=2),"%)",sep="")
lab.y <- paste("Dim ",axes[2]," (",format(res.pca$eig[axes[2],2],nsmall=2,digits=2),"%)",sep="")
if (graph.type == "ggplot"){
if(!is.null(col.hab)) palette <- col.hab
theme <- theme(
axis.title = element_text(hjust = 1, size = if (is.null(argument[["cex.axis"]])) {10} else {10*argument$cex.axis},face = 2),
plot.title = element_text(hjust = 0.5, size = if (is.null(argument[["cex.main"]])) {11} else {11*argument$cex.main},face = 2),
legend.position = ifelse(legend$x %in% c("bottom","up","right","left"), legend$x, "right"),
legend.box.spacing=unit(0.1, 'cm'),legend.margin=margin()
)
liste.quali <- colnames(res.pca$call$quali.sup$quali.sup)
liste.quanti <- colnames(res.pca$call$X)[which(!(colnames(res.pca$call$X) %in% liste.quali))]
hab_2 <- c(colnames(res.pca$call$X), "contrib", "cos2")
if((habillage != "none") && !(habillage[1] %in% hab_2) && (habillage != "ind")) habillage[1] <- colnames(res.pca$call$X)[as.numeric(habillage[1])]
if(habillage[1] != "none" && length(habillage) == 2){
if(!habillage[2] %in% hab_2) habillage[2] <- colnames(res.pca$call$X)[as.numeric(habillage[2])]
if (length(habillage) > 2) {
warning("Habillage must be either length 1 or 2 : only 2 first arguments will be used")
habillage <- habillage[1:2]
}
if ((length(habillage) == 2) & !("cos2" %in% habillage) & !("contrib" %in% habillage)){
if(!(habillage[2] %in% liste.quali)){
if (!(habillage[1] %in% liste.quali)){
habillage <- habillage[1]
}
else{
habillage <- habillage[2:1]
}
}}
if(length(habillage) == 1 && !(habillage %in% hab_2)) habillage <- as.numeric(habillage)
if((length(habillage) == 2) & (habillage[2] %in% c("contrib","cos2"))) habillage <- habillage[2:1]
if((length(habillage) == 2) & (habillage[1] %in% c("contrib","cos2")) & !(habillage[2] %in% hab_2)) habillage[2] <- colnames(res.pca$call$X)[as.integer(habillage[2])]
if(class(habillage[1]) %in% c("numeric","integer") && class(habillage[2]) %in% c("numeric","integer")) habillage <- c(colnames(res.pca$call$X)[habillage[1]],colnames(res.pca$call$X)[habillage[2]])
if(("cos2" %in% habillage) || ("contrib" %in% habillage)){
if((habillage[2] %in% liste.quanti) || (habillage[1] %in% liste.quanti)) habillage <- habillage[1]
}
if(("cos2" %in% habillage) && ("contrib" %in% habillage)) habillage <- habillage[1]
}
}
if (choix == "ind") {
if (is.null(title)) titre <- "PCA graph of individuals"
else titre <- title
coord.actif <- res.pca$ind$coord[, axes,drop=FALSE]
coord.illu <- coord.quali <- coord.ellipse <- NULL
if (!is.null(res.pca$ind.sup)) coord.illu <- res.pca$ind.sup$coord[, axes,drop=FALSE]
if (!is.null(res.pca$quali.sup)) coord.quali <- res.pca$quali.sup$coord[, axes,drop=FALSE]
if (!is.null(ellipse)) coord.ellipse <- ellipse$res
test.invisible <- vector(length = 2)
if (!is.null(invisible)) {
test.invisible[1] <- match("ind", invisible)
test.invisible[2] <- match("ind.sup", invisible)
test.invisible[3] <- match("quali", invisible)
}
else test.invisible <- rep(NA, 3)
nullxlimylim <- (is.null(xlim) & is.null(ylim))
if (is.null(xlim)) {
xmin <- xmax <- 0
if(is.na(test.invisible[1])) xmin <- min(xmin, coord.actif[,1])
if(is.na(test.invisible[1])) xmax <- max(xmax, coord.actif[,1])
if(!is.null(coord.illu)&is.na(test.invisible[2])) xmin <- min(xmin, coord.illu[, 1])
if(!is.null(coord.illu)&is.na(test.invisible[2])) xmax <- max(xmax, coord.illu[, 1])
if(!is.null(coord.quali)&is.na(test.invisible[3])) xmin <- min(xmin, coord.quali[, 1])
if(!is.null(coord.quali)&is.na(test.invisible[3])) xmax <- max(xmax, coord.quali[, 1])
if(!is.null(coord.ellipse)&is.na(test.invisible[3])) xmin <- min(xmin, coord.ellipse[, 2])
if(!is.null(coord.ellipse)&is.na(test.invisible[3])) xmax <- max(xmax, coord.ellipse[, 2])
# xlim <- c(xmin, xmax) * 1.2
xlim <- c(xmin, xmax)
xlim <- (xlim-mean(xlim))*1.2 + mean(xlim)
}
if (is.null(ylim)) {
ymin <- ymax <- 0
if(is.na(test.invisible[1])) ymin <- min(ymin, coord.actif[,2])
if(is.na(test.invisible[1])) ymax <- max(ymax, coord.actif[,2])
if(!is.null(coord.illu)&is.na(test.invisible[2])) ymin <- min(ymin, coord.illu[, 2])
if(!is.null(coord.illu)&is.na(test.invisible[2])) ymax <- max(ymax, coord.illu[, 2])
if(!is.null(coord.quali)&is.na(test.invisible[3])) ymin <- min(ymin, coord.quali[, 2])
if(!is.null(coord.quali)&is.na(test.invisible[3])) ymax <- max(ymax, coord.quali[, 2])
if(!is.null(coord.ellipse)&is.na(test.invisible[3])) ymin <- min(ymin, coord.ellipse[, 3])
if(!is.null(coord.ellipse)&is.na(test.invisible[3])) ymax <- max(ymax, coord.ellipse[, 3])
ylim <- c(ymin, ymax)
ylim <- (ylim-mean(ylim))*1.2 + mean(ylim)
}
if (nullxlimylim & diff(xlim)/diff(ylim)>3) ylim <- (ylim-mean(ylim))*diff(xlim)/diff(ylim)/3 + mean(ylim)
if (nullxlimylim & diff(xlim)/diff(ylim)<1/2) xlim <- (xlim-mean(xlim))*diff(ylim)/diff(xlim)/2 + mean(xlim)
if(graph.type=="ggplot") nudge_y <- (ylim[2] - ylim[1])*0.03
selection <- NULL
if (!is.null(select)) {
if (mode(select)=="numeric") selection <- select
else {
if (sum(rownames(res.pca$ind$coord)%in%select)+sum(rownames(res.pca$ind.sup$coord)%in%select)!=0) selection <- which(rownames(res.pca$ind$coord)%in%select)
else {
if (grepl("contrib",select[1])) selection <- (rev(order(res.pca$ind$contrib[,axes[1],drop=FALSE]*res.pca$eig[axes[1],1]+res.pca$ind$contrib[,axes[2],drop=FALSE]*res.pca$eig[axes[2],1])))[1:min(nrow(res.pca$ind$coord),sum(as.integer(unlist(strsplit(select,"contrib"))),na.rm=T))]
# if (grepl("contrib",select)) selection <- (rev(order(apply(res.pca$ind$contrib[,axes],1,sum))))[1:min(nrow(res.pca$ind$coord),sum(as.integer(unlist(strsplit(select,"contrib"))),na.rm=T))]
if (grepl("dist",select[1])) selection <- (rev(order(res.pca$ind$dist)))[1:min(nrow(res.pca$ind$coord),sum(as.integer(unlist(strsplit(select,"dist"))),na.rm=T))]
if (grepl("coord",select[1])) selection <- (rev(order(apply(res.pca$ind$coord[,axes]^2,1,sum))))[1:min(nrow(res.pca$ind$coord),sum(as.integer(unlist(strsplit(select,"coord"))),na.rm=T))]
if (grepl("cos2",select[1])) {
if (sum(as.numeric(unlist(strsplit(select,"cos2"))),na.rm=T)>=1) selection <- (rev(order(apply(res.pca$ind$cos2[,axes],1,sum))))[1:min(nrow(res.pca$ind$coord),sum(as.numeric(unlist(strsplit(select,"cos2"))),na.rm=T))]
else selection <- which(apply(res.pca$ind$cos2[,axes],1,sum)>sum(as.numeric(unlist(strsplit(select,"cos2"))),na.rm=T))
}
if (is.integer(select)) selection <- select
}
}
}
selectionS <- NULL
if ((!is.null(select))&(!is.null(res.pca$ind.sup$coord))&is.na(test.invisible[2])) {
if (mode(select)=="numeric") selectionS <- select
else {
if (sum(rownames(res.pca$ind$coord)%in%select)+sum(rownames(res.pca$ind.sup$coord)%in%select)!=0) selectionS <- which(rownames(res.pca$ind.sup$coord)%in%select)
else {
if (grepl("dist",select[1])) selectionS <- (rev(order(res.pca$ind.sup$dist)))[1:min(nrow(res.pca$ind.sup$coord),sum(as.integer(unlist(strsplit(select,"dist"))),na.rm=T))]
if (grepl("coord",select[1])) selectionS <- (rev(order(apply(res.pca$ind.sup$coord[,axes]^2,1,sum))))[1:min(nrow(res.pca$ind.sup$coord),sum(as.integer(unlist(strsplit(select,"coord"))),na.rm=T))]
if (grepl("cos2",select[1])) {
if (sum(as.numeric(unlist(strsplit(select,"cos2"))),na.rm=T)>=1) selectionS <- (rev(order(apply(res.pca$ind.sup$cos2[,axes,drop=FALSE],1,sum))))[1:min(nrow(res.pca$ind.sup$coord),sum(as.numeric(unlist(strsplit(select,"cos2"))),na.rm=T))]
else selectionS <- which(apply(res.pca$ind.sup$cos2[,axes,drop=FALSE],1,sum)>sum(as.numeric(unlist(strsplit(select,"cos2"))),na.rm=T))
}
if (is.integer(select)) selectionS <- select
}
}
}
## PARTIE GRAPHIQUE
if (graph.type =="ggplot") color.ind <- NULL
if ((new.plot)&!nzchar(Sys.getenv("RSTUDIO_USER_IDENTITY"))) dev.new(width=min(14,8*diff(xlim)/diff(ylim)),height=8)
if (is.null(palette)) palette <- (c("black","red","green3","blue","cyan","magenta","darkgray","darkgoldenrod","darkgreen","violet","turquoise","orange","lightpink","lavender","yellow","lightgreen","lightgrey","lightblue","darkkhaki", "darkmagenta","darkolivegreen","lightcyan", "darkorange", "darkorchid","darkred","darksalmon","darkseagreen","darkslateblue","darkslategray","darkslategrey","darkturquoise","darkviolet", "lightgray","lightsalmon","lightyellow", "maroon"))
if (habillage[1] == "none") {
color.ind <- rep(col.ind,nrow(coord.actif))
color.mod <- col.quali
if (!is.null(res.pca$ind.sup)&is.na(test.invisible[2])) color.ind.sup <- rep(col.ind.sup,nrow(res.pca$ind.sup$coord))
}
if (habillage[1] == "ind") {
if (is.null(coord.illu)){
if(length(col.hab) == nrow(coord.actif)) color.ind <- col.hab
else color.ind <- c(1:nrow(coord.actif))
} else{
if (length(col.hab)== nrow(coord.actif)+nrow(coord.illu)){
color.ind <- col.hab[-res.pca$call$ind.sup]
color.ind.sup <- col.hab[res.pca$call$ind.sup]
} else {
color.ind <- c(1:nrow(coord.actif))
color.ind.sup <- c((nrow(coord.actif)+1):(nrow(coord.actif)+nrow(coord.illu)))
}
}
color.mod <- "darkred"
}
liste.quali <- NULL
if ((habillage[1] != "none")&(habillage[1] != "ind")&(habillage[1] != "cos2")&(habillage[1] != "contrib")){
liste.quali <- colnames(res.pca$call$quali.sup$quali.sup)
if(!(class(res.pca$call$X[,habillage[1]])[1] %in% c("numeric","double","integer"))) {
if (is.numeric(habillage)) nom.quali <- colnames(res.pca$call$X)[habillage[1]]
else nom.quali <- habillage[1]
if (!(nom.quali %in% liste.quali)) stop("The variable ", habillage[1], " is not qualitative")
n.mod <- res.pca$call$quali.sup$modalite[liste.quali == nom.quali]
if (length(col.hab) != n.mod) {
color.mod <- c(1:n.mod)
color.ind <- as.numeric(as.factor(res.pca$call$X[, nom.quali]))
color.ind.sup <- color.ind[res.pca$call$ind.sup]
if (!is.null(res.pca$call$ind.sup)) color.ind <- color.ind[-res.pca$call$ind.sup]
}
else {
color.mod <- col.hab
color.ind <- as.factor(res.pca$call$X[, nom.quali])
levels(color.ind) <- col.hab
color.ind.sup <- color.ind[res.pca$call$ind.sup]
if (!is.null(res.pca$call$ind.sup)) color.ind <- color.ind[-res.pca$call$ind.sup]
color.ind <- as.character(color.ind)
}
}
if(class(res.pca$call$X[,habillage[1]])[1] %in% c("numeric","double","integer")){
if (graph.type == "classic") stop("The variable ", habillage[1], "is not qualitative")
liste.quanti <- colnames(res.pca$call$X[which(!(colnames(res.pca$call$X) %in% colnames(res.pca$call$quali.sup$quali.sup)))])
if (is.numeric(habillage[1])) nom.quanti <- colnames(res.pca$call$X)[habillage[1]]
else nom.quanti <- habillage[1]
if (!(nom.quanti %in% liste.quanti)) stop("The variable ", habillage[1], " is not quantitative")
}}
color.sup <- col.ind.sup
if (graph.type == "classic" & ((habillage == "cos2") || (habillage == "contrib"))) stop("The variable is not qualitative")
# graphe individuals factor map
if (graph.type == "classic") {
plot(0, 0, main = titre, xlab = lab.x, ylab = lab.y, xlim = xlim, ylim = ylim, col = "white", asp=1, ...)
abline(v=0,lty=2, ...)
abline(h=0,lty=2, ...)
#
}
coo <- labe <- coll <- ipch <- fonte <- NULL
df_ind2 <- df_ind_sup <- df_quali.sup <- NULL
if (is.na(test.invisible[1])) {
coo <- rbind(coo,coord.actif)
if (lab.ind){ labe <- c(labe,rownames(coord.actif))
} else labe <- c(labe,rep("",nrow(coord.actif)))
coll <- c(coll,color.ind)
ipch <- c(ipch,rep(20,nrow(coord.actif)))
fonte <- c(fonte,rep(1,nrow(coord.actif)))
if (!is.null(selection)){
if (is.numeric(unselect)) coll[!((1:length(coll))%in%selection)] <- rgb(t(col2rgb(coll[!((1:length(coll))%in%selection)])),alpha=255*(1-unselect),maxColorValue=255)
else coll[!((1:length(coll))%in%selection)] <- unselect
labe[!((1:length(coll))%in%selection)] <- ""
}
df_ind2 <- data.frame(labe,coord.actif,ipch,fonte)
}
if(graph.type == "ggplot") coll2 <- NULL
if (!is.null(res.pca$ind.sup) & is.na(test.invisible[2])) {
coo <- rbind(coo,res.pca$ind.sup$coord[,axes])
if (lab.ind.sup){ labe2 <- rownames(res.pca$ind.sup$coord)
} else labe2 <- rep("",nrow(res.pca$ind.sup$coord))
if (length(color.sup)>1) coll2 <- color.sup
else coll2 <- rep(color.sup,nrow(res.pca$ind.sup$coord))
if (!is.null(selectionS)){
if (is.numeric(unselect)) coll2[!((1:length(coll2))%in%selectionS)] <- rgb(t(col2rgb(coll2[!((1:length(coll2))%in%selectionS)])),alpha=255*(1-unselect),maxColorValue=255)
else coll2[!((1:length(coll2))%in%selectionS)] <- unselect
labe2[!((1:length(coll2))%in%selectionS)] <- ""
}
if (length(select)==1){
if (grepl("contrib",select)){
if (is.numeric(unselect)) coll2[1:length(coll2)] <- rgb(t(col2rgb(coll2[1:length(coll2)])),alpha=255*(1-unselect),maxColorValue=255)
else coll2[1:length(coll2)] <- unselect
labe2[1:length(coll2)] <- ""
}}
df_ind_sup <- data.frame(labe2, res.pca$ind.sup$coord[,axes], coll2, rep(1,nrow(res.pca$ind.sup$coord)), rep(3,nrow(res.pca$ind.sup$coord)))
coll <- c(coll,coll2)
labe <- c(labe,labe2)
ipch <- c(ipch,rep(1,nrow(res.pca$ind.sup$coord)))
fonte <- c(fonte,rep(3,nrow(res.pca$ind.sup$coord)))
}
if (!is.null(coord.quali) & is.na(test.invisible[3])) {
modalite <- res.pca$call$quali.sup$modalite
if (graph.type == "ggplot") col.quali <- col.quali
else{col.quali<-rep(col.quali, length(modalite))}
num.li <- 0
coo <- rbind(coo,coord.quali)
ipch <- c(ipch,rep(22,sum(modalite)))
if (lab.quali){ labe2 <- rownames(coord.quali)
} else labe2 <- rep("",sum(modalite))
labe <- c(labe,labe2)
fonte <- c(fonte,rep(3,sum(modalite)))
for (q in 1:length(modalite)) {
if ((habillage[1] != "none")&(habillage[1] != "ind")&(habillage[1] != "cos2")&(habillage[1] != "contrib")) {
if(!(class(res.pca$call$X[,habillage[1]])[1] %in% c("numeric","double","integer"))){
if (q == match(nom.quali, liste.quali)) coll2 <- color.mod
else coll2 <- rep(col.quali[1],modalite[q])
}} else coll2 <- rep(col.quali,modalite[q])
num.li <- num.li + modalite[q]
}
coll <- c(coll,coll2)
df_quali.sup <- data.frame(labe2, coord.quali, rep(22,nrow(coord.quali)), rep(3,nrow(coord.quali)))
}
# graphe individuals factor map, ajout des points
if (graph.type == "classic") {
points(coo[, 1], y = coo[, 2], pch = ipch, col = coll, ...)
}
if (graph.type == "ggplot") {
if (autoLab=="auto") autoLab <- (length(which(labe!=""))<50)
df_ind <- data.frame(labe,coo,ipch,fonte)
gg_graph <- ggplot() +
coord_fixed(ratio = 1) +
xlim(xlim) + ylim(ylim) +
geom_hline(yintercept = 0,lty=ggoptions_default$line.lty, lwd = ggoptions_default$line.lwd, color=ggoptions_default$line.color) +
geom_vline(xintercept = 0,lty=ggoptions_default$line.lty, lwd = ggoptions_default$line.lwd, color=ggoptions_default$line.color) +
theme_light() +
labs(title = titre, x = lab.x, y= lab.y)
if(!is.null(select)) df_ind2[,1] <- ifelse(rownames(df_ind2) %in% rownames(df_ind2)[selection], rownames(df_ind2), "")
transparency_ind <- col2rgb(col.ind,alpha=TRUE)[4]/255
if (!is.null(select)) transparency_ind <- ifelse(rownames(res.pca$ind$coord) %in% rownames(res.pca$ind$coord)[selection], transparency_ind, transparency_ind*(1-unselect))
if((!is.na(test.invisible[1])) & (habillage[1] != "none") & (is.null(legend["title"][[1]]))) legend["title"][[1]] <- habillage[1]
if (is.na(test.invisible[1])){
if (habillage[1] == "none" | habillage[1]=="ind"){
gg_graph <- gg_graph +
geom_point(aes(x=df_ind2[,2], y=df_ind2[,3]), color=color.ind, shape = ggoptions_default$point.shape, size = ggoptions_default$size/3, alpha = transparency_ind)
if(autoLab) text <- ggrepel::geom_text_repel(aes(x=df_ind2[,2], y=df_ind2[,3], label=df_ind2[,1]), size = ggoptions_default$size, color = color.ind)
else{text <- geom_text(aes(x=df_ind2[,2], y=df_ind2[,3], label=df_ind2[,1]), size = ggoptions_default$size, color = color.ind, hjust = (-sign(df_ind2[,2])+1)/2, vjust = -sign(df_ind2[,3])*0.75+0.25)}
}
if (length(habillage) == 1 & (habillage[1] != "none" | habillage[1]!="ind")){
if ((habillage %in% colnames(res.pca$call$X)) & !(habillage %in% liste.quali)){
df_ind2 <- data.frame(df_ind2, (res.pca$call$X)[rownames(df_ind2),habillage])
gg_graph <- gg_graph +
geom_point(aes(x=df_ind2[,2], y=df_ind2[,3], color = df_ind2[,6]), shape = ggoptions_default$point.shape, size = ggoptions_default$size/3, alpha = transparency_ind) +
scale_color_gradient(low=ggoptions_default$low.col.quanti, high=ggoptions_default$high.col.quanti) +
labs(color = ifelse(legend["title"] %in% legend, legend["title"][[1]], habillage))
if(autoLab) text <- ggrepel::geom_text_repel(aes(x=df_ind2[,2], y=df_ind2[,3], label=df_ind2[,1], color = df_ind2[,6]), size = ggoptions_default$size, show.legend = FALSE)
else{text <- geom_text(aes(x=df_ind2[,2], y=df_ind2[,3], label=df_ind2[,1], color = df_ind2[,6]), size = ggoptions_default$size, show.legend = FALSE, hjust = (-sign(df_ind2[,2])+1)/2, vjust = -sign(df_ind2[,3])*0.75+0.25)}
}
if (habillage %in% liste.quali){
df_ind2 <- data.frame(df_ind2, (res.pca$call$X)[rownames(df_ind2),habillage])
gg_graph <- gg_graph +
geom_point(aes(x=df_ind2[,2], y=df_ind2[,3], color = (res.pca$call$X)[rownames(df_ind2),habillage]), shape = ggoptions_default$point.shape, size = ggoptions_default$size/3, alpha = transparency_ind) +
scale_color_manual(values = palette[1:length(levels((res.pca$call$X)[,habillage]))]) +
labs(color = ifelse(legend["title"] %in% legend, legend["title"][[1]], habillage))
if (autoLab) text <- ggrepel::geom_text_repel(aes(x=df_ind2[,2], y=df_ind2[,3], label=df_ind2[,1], color = (res.pca$call$X)[rownames(res.pca$ind$coord),habillage[1]]), size = ggoptions_default$size, show.legend = FALSE)
else{text <- geom_text(aes(x=df_ind2[,2], y=df_ind2[,3], label=df_ind2[,1], color = (res.pca$call$X)[rownames(res.pca$ind$coord),habillage[1]]), size = ggoptions_default$size, show.legend = FALSE, hjust = (-sign(df_ind2[,2])+1)/2, vjust = -sign(df_ind2[,3])*0.75+0.25)}
}
if (habillage == "cos2"){
gg_graph <- gg_graph +
geom_point(aes(x=df_ind2[,2], y=df_ind2[,3], color = res.pca$ind$cos2[,axes[1]] + res.pca$ind$cos2[,axes[2]]), shape = ggoptions_default$point.shape, size = ggoptions_default$size/3, alpha = transparency_ind) +
scale_color_gradient(low=ggoptions_default$low.col.quanti, high=ggoptions_default$high.col.quanti) +
labs(color = ifelse(legend["title"] %in% legend, legend["title"][[1]], "cos2"))
if (autoLab) text <- ggrepel::geom_text_repel(aes(x=df_ind2[,2], y=df_ind2[,3], label=df_ind2[,1], color = res.pca$ind$cos2[,axes[1]] + res.pca$ind$cos2[,axes[2]]), size = ggoptions_default$size)
else{text <- geom_text(aes(x=df_ind2[,2], y=df_ind2[,3], label=df_ind2[,1], color = res.pca$ind$cos2[,axes[1]] + res.pca$ind$cos2[,axes[2]]), size = ggoptions_default$size, hjust = (-sign(df_ind2[,2])+1)/2, vjust = -sign(df_ind2[,3])*0.75+0.25)}
}
if (habillage == "contrib"){
gg_graph <- gg_graph +
geom_point(aes(x=df_ind2[,2], y=df_ind2[,3], color = (res.pca$ind$contrib[,axes[1]]*res.pca$eig[axes[1],1]+res.pca$ind$contrib[,axes[2]]*res.pca$eig[axes[2],1])/(res.pca$eig[axes[1],1]+res.pca$eig[axes[2],1])), shape = ggoptions_default$point.shape, size = ggoptions_default$size/3, alpha = transparency_ind) +
scale_color_gradient(low=ggoptions_default$low.col.quanti, high=ggoptions_default$high.col.quanti) +
labs(color = ifelse(legend["title"] %in% legend, legend["title"][[1]], "Ctr"))
if (autoLab) text <- ggrepel::geom_text_repel(aes(x=df_ind2[,2], y=df_ind2[,3], label=df_ind2[,1], color = (res.pca$ind$contrib[,axes[1]]*res.pca$eig[axes[1],1]+res.pca$ind$contrib[,axes[2]]*res.pca$eig[axes[2],1])/(res.pca$eig[axes[1],1]+res.pca$eig[axes[2],1])), size = ggoptions_default$size)
else{text <- geom_text(aes(x=df_ind2[,2], y=df_ind2[,3], label=df_ind2[,1], color = (res.pca$ind$contrib[,axes[1]]*res.pca$eig[axes[1],1]+res.pca$ind$contrib[,axes[2]]*res.pca$eig[axes[2],1])/(res.pca$eig[axes[1],1]+res.pca$eig[axes[2],1])), size = ggoptions_default$size, hjust = (-sign(df_ind2[,2])+1)/2, vjust = -sign(df_ind2[,3])*0.75+0.25)
}
}}
if(length(habillage) == 2 & habillage[1] != "none"){
if (!(habillage[1] %in% liste.quali)){
gg_graph <- gg_graph +
geom_point(aes(x=df_ind2[,2], y=df_ind2[,3], shape = res.pca$call$X[rownames(res.pca$ind$coord),habillage[2]], color = (res.pca$call$X)[rownames(res.pca$ind$coord),habillage[1]]), size = ggoptions_default$size/3, alpha = transparency_ind) +
scale_color_gradient(low=ggoptions_default$low.col.quanti, high=ggoptions_default$high.col.quanti) +
labs(color = habillage[1], shape = habillage[2])
if (autoLab) text <- ggrepel::geom_text_repel(aes(x=df_ind2[,2], y=df_ind2[,3], label=df_ind2[,1], color = (res.pca$call$X)[rownames(res.pca$ind$coord),habillage[1]]), size = ggoptions_default$size, show.legend = FALSE)
else{text <- geom_text(aes(x=df_ind2[,2], y=df_ind2[,3], label=df_ind2[,1], color = (res.pca$call$X)[rownames(res.pca$ind$coord),habillage[1]]), size = ggoptions_default$size, show.legend = FALSE, hjust = (-sign(df_ind2[,2])+1)/2, vjust = -sign(df_ind2[,3])*0.75+0.25)}
}
if (habillage[1] %in% liste.quali){
gg_graph <- gg_graph +
geom_point(aes(x=df_ind2[,2], y=df_ind2[,3], shape = res.pca$call$X[rownames(res.pca$ind$coord),habillage[2]], color = (res.pca$call$X)[rownames(res.pca$ind$coord),habillage[1]]), size = ggoptions_default$size/3, alpha = transparency_ind) +
scale_color_manual(values = palette[1:length(levels((res.pca$call$X)[,habillage[1]]))]) +
labs(color = habillage[1], shape = habillage[2])
if(autoLab) text <- ggrepel::geom_text_repel(aes(x=df_ind2[,2], y=df_ind2[,3], label=df_ind2[,1], color = (res.pca$call$X)[rownames(res.pca$ind$coord),habillage[1]]), size = ggoptions_default$size, show.legend = FALSE)
else{text <- geom_text(aes(x=df_ind2[,2], y=df_ind2[,3], label=df_ind2[,1], color = (res.pca$call$X)[rownames(res.pca$ind$coord),habillage[1]]), size = ggoptions_default$size, show.legend = FALSE, hjust = (-sign(df_ind2[,2])+1)/2, vjust = -sign(df_ind2[,3])*0.75+0.25)}
}
if (habillage[1] == "cos2"){
gg_graph <- gg_graph +
geom_point(aes(x=df_ind2[,2], y=df_ind2[,3], color = res.pca$ind$cos2[,axes[1]] + res.pca$ind$cos2[,axes[2]], shape = res.pca$call$X[rownames(res.pca$ind$coord),habillage[2]]), size = ggoptions_default$size/3, alpha = transparency_ind) +
scale_color_gradient(low=ggoptions_default$low.col.quanti, high=ggoptions_default$high.col.quanti) +
labs(color = habillage[1], shape = habillage[2])
if (autoLab) text <- ggrepel::geom_text_repel(aes(x=df_ind2[,2], y=df_ind2[,3], label=df_ind2[,1], color = res.pca$ind$cos2[,axes[1]] + res.pca$ind$cos2[,axes[2]]), size = ggoptions_default$size)
else{text <- geom_text(aes(x=df_ind2[,2], y=df_ind2[,3], label=df_ind2[,1], color = res.pca$ind$cos2[,axes[1]] + res.pca$ind$cos2[,axes[2]]), size = ggoptions_default$size, hjust = (-sign(df_ind2[,2])+1)/2, vjust = -sign(df_ind2[,3])*0.75+0.25)}
}
if (habillage[1] == "contrib"){
gg_graph <- gg_graph +
geom_point(aes(x=df_ind2[,2], y=df_ind2[,3], color = (res.pca$ind$contrib[,axes[1]]*res.pca$eig[axes[1],1]+res.pca$ind$contrib[,axes[2]]*res.pca$eig[axes[2],1])/(res.pca$eig[axes[1],1]+res.pca$eig[axes[2],1]), shape = res.pca$call$X[rownames(res.pca$ind$coord),habillage[2]]), size = ggoptions_default$size/3, alpha = transparency_ind) +
scale_color_gradient(low=ggoptions_default$low.col.quanti, high=ggoptions_default$high.col.quanti) +
labs(color = habillage[1], shape = habillage[2])
if (autoLab) text <- ggrepel::geom_text_repel(aes(x=df_ind2[,2], y=df_ind2[,3], label=df_ind2[,1], color = (res.pca$ind$contrib[,axes[1]]*res.pca$eig[axes[1],1]+res.pca$ind$contrib[,axes[2]]*res.pca$eig[axes[2],1])/(res.pca$eig[axes[1],1]+res.pca$eig[axes[2],1])), size = ggoptions_default$size)
else{text <- geom_text(aes(x=df_ind2[,2], y=df_ind2[,3], label=df_ind2[,1], color = (res.pca$ind$contrib[,axes[1]]*res.pca$eig[axes[1],1]+res.pca$ind$contrib[,axes[2]]*res.pca$eig[axes[2],1])/(res.pca$eig[axes[1],1]+res.pca$eig[axes[2],1])), size = ggoptions_default$size, hjust = (-sign(df_ind2[,2])+1)/2, vjust = -sign(df_ind2[,3])*0.75+0.25)
}
}
}
}
if (!is.na(test.invisible[1])){
gg_graph <- gg_graph +
labs(color = ifelse(legend["title"] %in% legend, legend["title"][[1]], habillage[1]))
}
gg_graph <- gg_graph + theme
if (is.na(test.invisible[1]) & isTRUE(lab.ind)) gg_graph <- gg_graph + text
if ((!is.null(res.pca$ind.sup)) && (is.na(test.invisible[2]))){
if(!is.null(select)) df_ind_sup[,1] <- ifelse(rownames(df_ind_sup) %in% rownames(df_ind_sup)[selectionS], rownames(df_ind_sup), "")
if(nrow(res.pca$ind.sup$coord) > 1){
if (isTRUE(lab.ind.sup)){
if (habillage[1] == "none"){ gg_graph <- gg_graph + geom_point(aes(x = df_ind_sup[,2], y = df_ind_sup[,3]), size = ggoptions_default$size/3, color = color.ind.sup, shape = 1)
if (autoLab) text_ind.sup <- ggrepel::geom_text_repel(aes(x = df_ind_sup[,2], y = df_ind_sup[,3], label=df_ind_sup[,1]), color = color.ind.sup, size = ggoptions_default$size, fontface = "italic")
else{text_ind.sup <- geom_text(aes(x = df_ind_sup[,2], y = df_ind_sup[,3], label=df_ind_sup[,1]), color = color.ind.sup, size = ggoptions_default$size, fontface = "italic",hjust = (-sign(df_ind_sup[,2])+1)/2, vjust = -sign(df_ind_sup[,3])*0.75+0.25)}
}
else{ if (habillage[1] == "cos2"){ gg_graph <- gg_graph + geom_point(aes(x = df_ind_sup[,2], y = df_ind_sup[,3], color = res.pca$ind.sup$cos2[,axes[1]] + res.pca$ind.sup$cos2[,axes[2]]), size = ggoptions_default$size/3, shape = 1)
if (autoLab) text_ind.sup <- ggrepel::geom_text_repel(aes(x = df_ind_sup[,2], y = df_ind_sup[,3], label=df_ind_sup[,1], color = res.pca$ind.sup$cos2[,axes[1]] + res.pca$ind.sup$cos2[,axes[2]]), size = ggoptions_default$size, fontface = "italic")
else{text_ind.sup <- geom_text(aes(x = df_ind_sup[,2], y = df_ind_sup[,3], label=df_ind_sup[,1], color = res.pca$ind.sup$cos2[,axes[1]] + res.pca$ind.sup$cos2[,axes[2]]), size = ggoptions_default$size, fontface = "italic", hjust = (-sign(df_ind_sup[,2])+1)/2, vjust = -sign(df_ind_sup[,3])*0.75+0.25)}
}
else{ if (habillage[1] == "contrib") text_ind.sup <- NULL #+ geom_point(aes(x = res.pca$ind.sup$coord[,axes[1]], y = res.pca$ind.sup$coord[,axes[2]], color = res.pca$ind$contrib[,axes[1]]*res.pca$eig[axes[1],1]+res.pca$ind$contrib[,axes[2]]*res.pca$eig[axes[2],1]), size = ggoptions_default$size/3, shape = 1)
else{gg_graph <- gg_graph + geom_point(aes(x = df_ind_sup[,2], y = df_ind_sup[,3], color = (res.pca$call$X)[rownames(res.pca$ind.sup$coord),habillage[1]]), size = ggoptions_default$size/3, shape = 1)
if (autoLab) text_ind.sup <- ggrepel::geom_text_repel(aes(x = df_ind_sup[,2], y = df_ind_sup[,3], label=df_ind_sup[,1], color = (res.pca$call$X)[rownames(res.pca$ind.sup$coord),habillage[1]]), size = ggoptions_default$size, fontface = "italic", show.legend = FALSE)
else{text_ind.sup <- geom_text(aes(x = df_ind_sup[,2], y = df_ind_sup[,3], label=df_ind_sup[,1], color = (res.pca$call$X)[rownames(res.pca$ind.sup$coord),habillage[1]]), size = ggoptions_default$size, fontface = "italic", show.legend = FALSE, hjust = (-sign(df_ind_sup[,2])+1)/2, vjust = -sign(df_ind_sup[,3])*0.75+0.25)
}}}}
gg_graph <- gg_graph + text_ind.sup
}
else{
gg_graph <- gg_graph +
geom_point(aes(x = df_ind_sup[,2], y = df_ind_sup[,3]), size = ggoptions_default$size/3, color = color.ind.sup)
}
}
else{ if(dim(res.pca$ind.sup$coord)[1] == 1){
if (is.null(select)) selectionS <- 1
if (isTRUE(lab.ind.sup)){
if (habillage[1] == "none") gg_graph <- gg_graph + geom_point(aes(x = res.pca$ind.sup$coord[,axes[1]], y = res.pca$ind.sup$coord[,axes[2]]), size = ggoptions_default$size/3, color = color.ind.sup, shape = 1) + ggrepel::geom_text_repel(aes(x = res.pca$ind.sup$coord[,axes[1]], y = res.pca$ind.sup$coord[,axes[2]], label=ifelse(!is.null(selectionS), rownames(res.pca$ind.sup$coord), "")), color = color.ind.sup, size = ggoptions_default$size, fontface = "italic")
else{ if (habillage[1] == "cos2") gg_graph <- gg_graph + geom_point(aes(x = res.pca$ind.sup$coord[,axes[1]], y = res.pca$ind.sup$coord[,axes[2]], color = res.pca$ind.sup$cos2[,axes[1]] + res.pca$ind.sup$cos2[,axes[2]]), size = ggoptions_default$size/3, shape = 1) + ggrepel::geom_text_repel(aes(x = res.pca$ind.sup$coord[,axes[1]], y = res.pca$ind.sup$coord[,axes[2]], label=ifelse(!is.null(selectionS), rownames(res.pca$ind.sup$coord), ""), color = res.pca$ind.sup$cos2[,axes[1]] + res.pca$ind.sup$cos2[,axes[2]]), size = ggoptions_default$size, fontface = "italic")
else{ if (habillage[1] == "contrib") gg_graph <- gg_graph #+ geom_point(aes(x = res.pca$ind.sup$coord[,axes[1]], y = res.pca$ind.sup$coord[,axes[2]], color = res.pca$ind$contrib[,axes[1]]*res.pca$eig[axes[1],1]+res.pca$ind$contrib[,axes[2]]*res.pca$eig[axes[2],1]), size = ggoptions_default$size/3, shape = 1)
else{gg_graph <- gg_graph + geom_point(aes(x = res.pca$ind.sup$coord[,axes[1]], y = res.pca$ind.sup$coord[,axes[2]], color = (res.pca$call$X)[rownames(res.pca$ind.sup$coord),habillage[1]]), size = ggoptions_default$size/3, shape = 1) + ggrepel::geom_text_repel(aes(x = res.pca$ind.sup$coord[,axes[1]], y = res.pca$ind.sup$coord[,axes[2]], label=ifelse(!is.null(selectionS), rownames(res.pca$ind.sup$coord), ""), color = (res.pca$call$X)[rownames(res.pca$ind.sup$coord),habillage[1]]), size = ggoptions_default$size, fontface = "italic", show.legend = FALSE)
}}}
}
else{
gg_graph <- gg_graph +
geom_point(aes(x = res.pca$ind.sup$coord[,axes[1]], y = res.pca$ind.sup$coord[,axes[2]]), size = ggoptions_default$size/3, color = color.ind.sup)
}
}
}
}
if ((!is.null(res.pca$quali.sup)) && (is.na(test.invisible[3]))){
if (isTRUE(lab.quali)){
if((habillage[1] == "none") || !(habillage[1] %in% liste.quali)){
gg_graph <- gg_graph +
geom_point(aes(x = df_quali.sup[,2], y = df_quali.sup[,3]), size = ggoptions_default$size/2.8, color = col.quali, shape = 0)
if (autoLab) text_quali.sup <- ggrepel::geom_text_repel(aes(x = df_quali.sup[,2], y = df_quali.sup[,3], label=df_quali.sup[,1]), color = col.quali, size = ggoptions_default$size, fontface = "italic")
else{text_quali.sup <- geom_text(aes(x = df_quali.sup[,2], y = df_quali.sup[,3], label=df_quali.sup[,1]), color = col.quali, size = ggoptions_default$size, fontface = "italic",hjust = (-sign(df_quali.sup[,2])+1)/2, vjust = -sign(df_quali.sup[,3])*0.75+0.25)}
gg_graph <- gg_graph + text_quali.sup
} else{
if ((habillage[1] %in% liste.quali) || (colnames(res.pca$call$X))[habillage[1]] %in% liste.quali) {
gg_graph <- gg_graph +
geom_point(aes(x = res.pca$quali.sup$coord[levels(res.pca$call$X[,habillage[1]]),axes[1]], y = res.pca$quali.sup$coord[levels(res.pca$call$X[,habillage[1]]),axes[2]]), size = ggoptions_default$size/2.8, color = palette[1:length(levels(res.pca$call$X[,habillage[1]]))], shape = 0)
if (autoLab) text_quali.sup <- ggrepel::geom_text_repel(aes(x = res.pca$quali.sup$coord[levels(res.pca$call$X[,habillage[1]]),axes[1]], y = res.pca$quali.sup$coord[levels(res.pca$call$X[,habillage[1]]),axes[2]], label=levels(res.pca$call$X[,habillage[1]])), color = palette[1:length(levels(res.pca$call$X[,habillage[1]]))], size = ggoptions_default$size, fontface = "italic")
else{text_quali.sup <- geom_text(aes(x = res.pca$quali.sup$coord[levels(res.pca$call$X[,habillage[1]]),axes[1]], y = res.pca$quali.sup$coord[levels(res.pca$call$X[,habillage[1]]),axes[2]], label=levels(res.pca$call$X[,habillage[1]])), color = palette[1:length(levels(res.pca$call$X[,habillage[1]]))], size = ggoptions_default$size, fontface = "italic",nudge_y=nudge_y,hjust = (-sign(df_quali.sup[levels(res.pca$call$X[,habillage[1]]),2])+1)/2, vjust = -sign(df_quali.sup[levels(res.pca$call$X[,habillage[1]]),3])*0.75+0.25)}
gg_graph <- gg_graph + text_quali.sup
}
if(length(liste.quali) > 1){
gg_graph <- gg_graph +
geom_point(aes(x = res.pca$quali.sup$coord[which(!(rownames(res.pca$quali.sup$coord) %in% levels(res.pca$call$X[,habillage[1]]))),axes[1]], y = res.pca$quali.sup$coord[which(!(rownames(res.pca$quali.sup$coord) %in% levels(res.pca$call$X[,habillage[1]]))),axes[2]]), size = ggoptions_default$size/2.8, color = col.quali, shape = 0)
if (autoLab) text_quali.sup <- ggrepel::geom_text_repel(aes(x = res.pca$quali.sup$coord[which(!(rownames(res.pca$quali.sup$coord) %in% levels(res.pca$call$X[,habillage[1]]))),axes[1]], y = res.pca$quali.sup$coord[which(!(rownames(res.pca$quali.sup$coord) %in% levels(res.pca$call$X[,habillage[1]]))),axes[2]], label = rownames(res.pca$quali.sup$coord)[which(!(rownames(res.pca$quali.sup$coord) %in% levels(res.pca$call$X[,habillage[1]])))]), color = col.quali, size = ggoptions_default$size, fontface = "italic")
else{text_quali.sup <- geom_text(aes(x = res.pca$quali.sup$coord[which(!(rownames(res.pca$quali.sup$coord) %in% levels(res.pca$call$X[,habillage[1]]))),axes[1]], y = res.pca$quali.sup$coord[which(!(rownames(res.pca$quali.sup$coord) %in% levels(res.pca$call$X[,habillage[1]]))),axes[2]], label = rownames(res.pca$quali.sup$coord)[which(!(rownames(res.pca$quali.sup$coord) %in% levels(res.pca$call$X[,habillage[1]])))]), color = col.quali, size = ggoptions_default$size, fontface = "italic",nudge_y=nudge_y,hjust = (-sign(df_quali.sup[which(!(rownames(res.pca$quali.sup$coord) %in% levels(res.pca$call$X[,habillage[1]]))),2])+1)/2, vjust = -sign(df_quali.sup[which(!(rownames(res.pca$quali.sup$coord) %in% levels(res.pca$call$X[,habillage[1]]))),3])*0.75+0.25)}
gg_graph <- gg_graph + text_quali.sup
}
}
} else{
gg_graph <- gg_graph +
geom_point(aes(x = df_quali.sup[,2], y = df_quali.sup[,3]), size = ggoptions_default$size/2.8, color = col.quali, shape = 0)
}
}
}
if (graph.type == "classic"){
if (any(labe!="")){
if (autoLab=="auto") autoLab <- (length(which(labe!=""))<50)
if (autoLab ==TRUE) autoLab(coo[labe!="", 1], y = coo[labe!="", 2], labels = labe[labe!=""], col = coll[labe!=""], font=fonte[labe!=""],shadotext=shadowtext,...)
if (autoLab ==FALSE) text(coo[labe!="", 1], y = coo[labe!="", 2], labels = labe[labe!=""], col = coll[labe!=""], font=fonte[labe!=""],pos=3,...)
}}
if (!is.null(ellipse)) {
nbre.ellipse <- nlevels(coord.ellipse[, 1])
for (e in 1:nbre.ellipse) {
data.elli <- coord.ellipse[ellipse$res[, 1] == levels(coord.ellipse[, 1])[e], -1]
if(graph.type=="classic"){
if ((habillage[1] != "none")&(habillage[1] != "ind")) lines(x=data.elli[, 1], y = data.elli[, 2], col = palette[color.mod[e]],...)
else lines(x=data.elli[, 1], y = data.elli[, 2], col = palette[col.quali],...)}
else{
if(graph.type=="ggplot"){
if (habillage[1] != "none"){
gg_graph <- gg_graph + geom_path(aes_string(x=data.elli[,1],y=data.elli[,2]), color = palette[color.mod[e]])
}
else {
gg_graph <- gg_graph + geom_path(aes_string(x=data.elli[,1],y=data.elli[,2]), color = palette[col.quali])
}
}
}
}
}
# if ((habillage != "none")&(habillage != "ind")) legend("topleft",legend= levels(res.pca$call$X[,habillage]),text.col= color.mod,cex=par("cex")*0.8)
if ((habillage[1] != "none") & (habillage[1] != "ind") & (habillage[1] != "cos2") & (habillage[1] != "contrib") & (graph.type == "classic")) {
L <- list(x="topleft", legend = levels(res.pca$call$X[, habillage[1]]), text.col = color.mod, cex = par("cex") * 0.8)
L <- modifyList(L, legend)
do.call(graphics::legend, L)
}
}
if (choix == "varcor") {
sauv <- res.pca$var$coord
res.pca$var$coord <- res.pca$var$cor
if (!is.null(res.pca$quanti.sup)) res.pca$quanti.sup$coord <- res.pca$quanti.sup$cor
res.pca$call$scale.unit <- TRUE
}
if ((choix == "var")||(choix == "varcor")) {
if (is.null(title)) titre <- "PCA graph of variables"
else titre <- title
selection <- selectionS <- NULL
if (!is.null(select)) {
if (mode(select)=="numeric") selection <- select
else {
if (sum(rownames(res.pca$var$coord)%in%select)+sum(rownames(res.pca$quanti.sup$coord)%in%select)!=0) selection <- which(rownames(res.pca$var$coord)%in%select)
else {
if (grepl("contrib",select[1])) selection <- (rev(order(res.pca$var$contrib[,axes[1]]*res.pca$eig[axes[1],1]+res.pca$var$contrib[,axes[2]]*res.pca$eig[axes[2],1])))[1:min(nrow(res.pca$var$coord),sum(as.integer(unlist(strsplit(select,"contrib"))),na.rm=T))]
if (grepl("coord",select[1])) selection <- (rev(order(apply(res.pca$var$coord[,axes]^2,1,sum))))[1:min(nrow(res.pca$var$coord),sum(as.integer(unlist(strsplit(select,"coord"))),na.rm=T))]
if (grepl("cos2",select[1])) {
if (sum(as.numeric(unlist(strsplit(select,"cos2"))),na.rm=T)>=1) selection <- (rev(order(apply(res.pca$var$cos2[,axes],1,sum))))[1:min(nrow(res.pca$var$coord),sum(as.numeric(unlist(strsplit(select,"cos2"))),na.rm=T))]
else selection <- which(apply(res.pca$var$cos2[,axes],1,sum)>sum(as.numeric(unlist(strsplit(select,"cos2"))),na.rm=T))
}
if (is.integer(select)) selection <- select
}
}
}
if ((!is.null(select))&(!is.null(res.pca$quanti.sup))) {
if (mode(select)=="numeric") selectionS <- select
else {
if (sum(rownames(res.pca$var$coord)%in%select)+sum(rownames(res.pca$quanti.sup$coord)%in%select)!=0) selectionS <- which(rownames(res.pca$quanti.sup$coord)%in%select)
else {
if (grepl("contrib",select[1])) selectionS <- NULL
if (grepl("coord",select[1])) selectionS <- (rev(order(apply(res.pca$quanti.sup$coord[,axes]^2,1,sum))))[1:min(nrow(res.pca$quanti.sup$coord),sum(as.integer(unlist(strsplit(select,"coord"))),na.rm=T))]
if (grepl("cos2",select[1])) {
if (sum(as.numeric(unlist(strsplit(select,"cos2"))),na.rm=T)>=1) selectionS <- (rev(order(apply(res.pca$quanti.sup$cos2[,axes],1,sum))))[1:min(nrow(res.pca$quanti.sup$coord),sum(as.numeric(unlist(strsplit(select,"cos2"))),na.rm=T))]
else selectionS <- which(apply(res.pca$quanti.sup$cos2[,axes],1,sum)>sum(as.numeric(unlist(strsplit(select,"cos2"))),na.rm=T))
}
if (is.integer(select)) selectionS <- select
}
}
}
test.invisible <- vector(length = 2)
if (!is.null(invisible)) {
test.invisible[1] <- match("var", invisible)
test.invisible[2] <- match("quanti.sup", invisible)
}
else test.invisible <- rep(NA, 2)
scale.unit <- res.pca$call$scale.unit
coord.var <- res.pca$var$coord[, axes,drop=FALSE]
if (!is.null(res.pca$quanti.sup)) coord.quanti <- res.pca$quanti.sup$coord[, axes, drop=FALSE]
else coord.quanti <- NULL
if (scale.unit) xlim <- ylim <- c(-1, 1)
else {
xmin <- min(0,coord.var[, 1], coord.quanti[, 1])
xmax <- max(0,coord.var[, 1], coord.quanti[, 1])
ymin <- min(0,coord.var[, 2], coord.quanti[, 2])
ymax <- max(0,coord.var[, 2], coord.quanti[, 2])
xlim <- c(xmin, xmax) * 1.2
ylim <- c(ymin, ymax) * 1.2
}
if ((new.plot)&!nzchar(Sys.getenv("RSTUDIO_USER_IDENTITY"))) dev.new()
if (is.null(palette)) palette(c("black","red","green3","blue","cyan","magenta","darkgray","darkgoldenrod","darkgreen","violet","turquoise","orange","lightpink","lavender","yellow","lightgreen","lightgrey","lightblue","darkkhaki", "darkmagenta","darkolivegreen","lightcyan", "darkorange", "darkorchid","darkred","darksalmon","darkseagreen","darkslateblue","darkslategray","darkslategrey","darkturquoise","darkviolet", "lightgray","lightsalmon","lightyellow", "maroon"))
# cercle variables factor map
if (graph.type == "classic") {
if (scale.unit) {
plot(0, 0, xlab = lab.x, ylab = lab.y, xlim = xlim, ylim = ylim, col = "white", asp=1, main=titre,...)
x.cercle <- seq(-1, 1, by = 0.01)
y.cercle <- sqrt(1 - x.cercle^2)
lines(x.cercle, y = y.cercle,...)
lines(x.cercle, y = -y.cercle,...)
}
else {
plot(0, 0, main = titre, xlab = lab.x, ylab = lab.y, xlim = xlim, ylim = ylim, col = "white", asp=1, ...)
}
abline(v=0,lty=2,...)
abline(h=0,lty=2,...)
}
#
coll <- coo <- labe <- posi <- NULL
if (!is.null(coord.var[ which(apply(res.pca$var$cos2[, axes,drop=FALSE],1,sum, na.rm = TRUE) >= lim.cos2.var),])&is.na(test.invisible[1])&(nrow(coord.var)>0)){
coord.var <- coord.var[ which(apply(res.pca$var$cos2[, axes,drop=FALSE],1,sum, na.rm = TRUE) >= lim.cos2.var),,drop=FALSE]
coo <- coord.var
if (length(col.var)==1) coll <- c(coll,rep(col.var,nrow(coord.var)))
else coll <- col.var
if (!is.null(col.hab)) coll <- col.hab[which(colnames(res.pca$call$X)%in%rownames(res.pca$var$coord))]
if (lab.var){ labe <- c(labe,rownames(coord.var))
} else labe <- c(labe,rep("",nrow(coord.var)))
if (!is.null(selection)){
if (is.numeric(unselect)) coll[!((1:length(coll))%in%selection)] <- rgb(t(col2rgb(coll[!((1:length(coll))%in%selection)])),alpha=255*(1-unselect),maxColorValue=255)
else coll[!((1:length(coll))%in%selection)] <- unselect
labe[!((1:length(coll))%in%selection)] <- ""
}
if(graph.type == "ggplot"){
df_var <- df_quanti.sup <- NULL
df_var <- data.frame(labe,coord.var,coll)
} else {
for (v in 1:nrow(coord.var)) {
arrows(0, 0, coord.var[v, 1], coord.var[v, 2], length = 0.1, angle = 15, code = 2, col = coll[v])
if (lab.var) {
if (abs(coord.var[v,1])>abs(coord.var[v,2])){
if (coord.var[v,1]>=0) posi<-c(posi,4)
else posi<-c(posi,2)
}
else {
if (coord.var[v,2]>=0) posi<-c(posi,3)
else posi<-c(posi,1)
}
}
}
}
}
#
if (!is.null(coord.quanti)){
if (!is.null(coord.quanti[ which(apply(res.pca$quanti.sup$cos2[, axes,drop=FALSE],1,sum, na.rm = TRUE) >= lim.cos2.var),])& is.na(test.invisible[2]) & (nrow(coord.quanti)>0)) {
coord.quanti <- coord.quanti[ which(apply(res.pca$quanti.sup$cos2[, axes,drop=FALSE],1,sum, na.rm = TRUE) >= lim.cos2.var),,drop=FALSE]
coo <- rbind(coo,coord.quanti)
if (length(col.quanti.sup)==1) col.quanti.sup<-rep(col.quanti.sup, nrow(coord.quanti))
if (is.null(col.hab)) coll2 <- col.quanti.sup
else coll2 <- col.hab[which(colnames(res.pca$call$X)%in%colnames(res.pca$call$quanti.sup))]
if (lab.quanti){ labe2 <- rownames(coord.quanti)
} else labe2 <- rep("",nrow(coord.quanti))
if (length(select)==1){
if (grepl("contrib",select)){
if (is.numeric(unselect)) coll2[1:length(coll2)] <- rgb(t(col2rgb(coll2[1:length(coll2)])),alpha=255*(1-unselect),maxColorValue=255)
else coll2[1:length(coll2)] <- unselect
labe2[1:length(coll2)] <- ""
}}
if (!is.null(selectionS)){
if (is.numeric(unselect)) coll2[!((1:length(coll2))%in%selectionS)] <- rgb(t(col2rgb(coll2[!((1:length(coll2))%in%selectionS)])),alpha=255*(1-unselect),maxColorValue=255)
else coll2[!((1:length(coll2))%in%selectionS)] <- unselect
labe2[!((1:length(coll2))%in%selectionS)] <- ""
}
if (graph.type == "ggplot") df_quanti.sup <- data.frame(labe2,coord.quanti,coll2)
#
if (graph.type == "classic"){
for (q in 1:nrow(coord.quanti)) {
arrows(0, 0, coord.quanti[q, 1], coord.quanti[q, 2], length = 0.1, angle = 15, code = 2, lty = 2, col=coll2[q])
#
if (lab.quanti) {
if (abs(coord.quanti[q,1])>abs(coord.quanti[q,2])){
if (coord.quanti[q,1]>=0) posi<-c(posi,4)
else posi<-c(posi,2)
}
else {
if (coord.quanti[q,2]>=0) posi<-c(posi,3)
else posi<-c(posi,1)
}
}
}}
labe <- c(labe,labe2)
coll <- c(coll,coll2)
}
}
if (graph.type == "classic"){
if (any(labe!="")){
if (autoLab=="auto") autoLab <- (length(which(labe!=""))<50)
if (autoLab==FALSE) text(coo[labe!="", 1], y = coo[labe!="", 2], labels = labe[labe!=""], pos = posi[labe!=""], col = coll[labe!=""],...)
if (autoLab==TRUE) autoLab(coo[labe!="", 1], y = coo[labe!="", 2], labels = labe[labe!=""], col = coll[labe!=""], shadotext=shadowtext,...)
}
} else {
if((!is.na(test.invisible[1])) & (habillage[1] != "none") & (is.null(legend["title"][[1]]))){
legend["title"][[1]] <- habillage[1]}
if (autoLab=="auto") autoLab <- (length(which(labe!=""))<50)
if (length(habillage) != 1){
warning("Habillage must be length 1")
habillage <- habillage[1]
}
if (!(habillage[1] %in% c("contrib","cos2","none"))){
warning("Habillage must be in c('contrib','cos2','none')")
habillage <- "none"
}
circle <- annotate("path",
x=0+1*cos(seq(0,2*pi,length.out=100)),
y=0+1*sin(seq(0,2*pi,length.out=100)),
lty = ggoptions_default$circle.lty,
lwd = ggoptions_default$circle.lwd,
color = ggoptions_default$circle.color)
transparency_var <- ifelse(rownames(res.pca$var$coord) %in% labe, 1, 1-unselect)
gg_graph <- ggplot() +
coord_fixed(ratio = 1) +
geom_line(aes(x=x, y=y), data=data.frame(x=-1:1,y=0),lty=ggoptions_default$line.lty, lwd = ggoptions_default$line.lwd, color=ggoptions_default$line.color) +
geom_line(aes(x=x, y=y), data=data.frame(x=0,y=-1:1),lty=ggoptions_default$line.lty, lwd = ggoptions_default$line.lwd, color=ggoptions_default$line.color) +
theme_light()
if (is.na(test.invisible[1])){
if (((habillage[1] != "contrib") & (habillage[1] != "cos2"))) {
gg_graph <- gg_graph +
aes(x=df_var[,2], y=df_var[,3]) +
geom_segment(aes(x=0,y=0,xend=df_var[,2], yend=df_var[,3]),arrow=arrow(length=unit(0.2,"cm")),alpha = transparency_var, lty = ggoptions_default$segment.lty, lwd = ggoptions_default$segment.lwd, color=col.var)
if(autoLab) text <- ggrepel::geom_text_repel(aes(x=df_var[,2], y=df_var[,3],label=df_var[,1]), size = ggoptions_default$size, color = col.var)
else{text <- geom_text(aes(x=df_var[,2], y=df_var[,3],label=df_var[,1]), size = ggoptions_default$size, color = col.var, hjust = (-sign(df_var[,2])+1)/2, vjust = -sign(df_var[,3])*0.75+0.25)}
}
if (habillage[1] == "cos2" || habillage[1] == "contrib"){
if (habillage[1] == "cos2") df_var[,4] <- res.pca$var$cos2[,axes[1]] + res.pca$var$cos2[,axes[2]]
if (habillage[1] == "contrib") df_var[,4] <- (res.pca$var$contrib[,axes[1]]*res.pca$eig[axes[1],1]+res.pca$var$contrib[,axes[2]]*res.pca$eig[axes[2],1])/(res.pca$eig[axes[1],1]+res.pca$eig[axes[2],1])
gg_graph <- gg_graph +
aes(x=df_var[,2], y=df_var[,3],color = df_var[,4]) +
geom_segment(aes(x=0,y=0,xend=df_var[,2], yend=df_var[,3],col = df_var[,4]),arrow=arrow(length=unit(0.2,"cm")), alpha = transparency_var, lty = ggoptions_default$segment.lty, lwd = ggoptions_default$segment.lwd) +
scale_color_gradient(low=ggoptions_default$low.col.quanti, high=ggoptions_default$high.col.quanti)
if (habillage[1] == "cos2") gg_graph <- gg_graph + labs(color = ifelse(legend["title"] %in% legend, legend["title"][[1]], "cos2"))
if (habillage[1] == "contrib") gg_graph <- gg_graph + labs(color = ifelse(legend["title"] %in% legend, legend["title"][[1]], "Ctr"))
if(autoLab) text <- ggrepel::geom_text_repel(aes(x=df_var[,2], y=df_var[,3],label=df_var[,1], color = df_var[,4]), size = ggoptions_default$size)
else{text <- geom_text(aes(x=df_var[,2], y=df_var[,3],label=df_var[,1], color = df_var[,4]), size = ggoptions_default$size, hjust = (-sign(df_var[,2])+1)/2, vjust = -sign(df_var[,3])*0.75+0.25)}
}
}
if (!is.na(test.invisible[1])){
gg_graph <- gg_graph +
labs(color = legend["title"][[1]])
}
if ((!is.null(res.pca$quanti.sup))&(is.na(test.invisible[2]))){
transparency_quanti <- ifelse(rownames(res.pca$quanti.sup$coord) %in% labe, 1, 1-unselect)
if (isTRUE(lab.quanti)){
if(habillage[1] == "contrib") text_quanti.sup <- NULL
if (habillage[1] == "none"){ gg_graph <- gg_graph + geom_segment(aes(x=0,y=0,xend=df_quanti.sup[,2], yend=df_quanti.sup[,3]),arrow=arrow(length=unit(0.2,"cm")),lty = 2, color = col.quanti.sup,alpha = transparency_quanti)
if (autoLab) text_quanti.sup <- ggrepel::geom_text_repel(aes(x = df_quanti.sup[,2], y = df_quanti.sup[,3], label=df_quanti.sup[,1]), color = col.quanti.sup, size = ggoptions_default$size,alpha = transparency_quanti)
else{text_quanti.sup <- geom_text(aes(x = df_quanti.sup[,2], y = df_quanti.sup[,3], label=df_quanti.sup[,1]), color = col.quanti.sup, size = ggoptions_default$size,hjust = (-sign(df_quanti.sup[,2])+1)/2, vjust = -sign(df_quanti.sup[,3])*0.75+0.25,alpha = transparency_quanti)}
}
if (habillage[1] == "cos2"){gg_graph <- gg_graph + geom_segment(aes(x=0,y=0,xend=df_quanti.sup[,2], yend=df_quanti.sup[,3], color = res.pca$quanti.sup$cos2[,axes[1]] + res.pca$quanti.sup$cos2[,axes[2]]),arrow=arrow(length=unit(0.2,"cm")),lty = 2,alpha = transparency_quanti)
if (autoLab) text_quanti.sup <- ggrepel::geom_text_repel(aes(x = df_quanti.sup[,2], y = df_quanti.sup[,3], label=df_quanti.sup[,1], color = res.pca$quanti.sup$cos2[,axes[1]] + res.pca$quanti.sup$cos2[,axes[2]]), size = ggoptions_default$size,alpha = transparency_quanti)
else{text_quanti.sup <- geom_text(aes(x = df_quanti.sup[,2], y = df_quanti.sup[,3], label=df_quanti.sup[,1], color = res.pca$quanti.sup$cos2[,axes[1]] + res.pca$quanti.sup$cos2[,axes[2]]), size = ggoptions_default$size,hjust = (-sign(df_quanti.sup[,2])+1)/2, vjust = -sign(df_quanti.sup[,3])*0.75+0.25,alpha = transparency_quanti)}
}
gg_graph <- gg_graph + text_quanti.sup
} else{
gg_graph <- gg_graph +
geom_segment(aes(x=0,y=0,xend=df_quanti.sup[,2], yend=df_quanti.sup[,3]),arrow=arrow(length=unit(0.2,"cm")),lty = 2, color = col.quanti.sup)
}
}
gg_graph <- gg_graph + theme + circle + labs(title = titre, x = lab.x, y= lab.y)
if (is.na(test.invisible[1]) & (isTRUE(lab.var))) gg_graph <- gg_graph + text
}
}
palette(old.palette)
if(graph.type == "ggplot") return(gg_graph)
}
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