plotConvexHullPCA: Plot convex hull when performing PCA
In malouche/plotConvexHullPCA: Plot Indiviual and Biplot Maps from PCA

Description Usage Arguments Value Author(s) Examples

This function produces the plot of the individual factorial map and the biplot from a PCA object obtained after perfoming a Principal Components Analysis with FactoMineR package

1 2	plotConvexHullPCA(pc, axes, zfactor, convex = T, varnames, indnames, biplot = T, varlab, indlab, alpha = 0.4)

`pc`	A FactomineR object obtained after using PCA function
`axes`	It's a vector of length 2 containing the rank of the components that we want to plot
`zfactor`	It's a vector from the original data, it' the sumplementary factor variable used in the PCA
`convex`	It's a boolean function indicates where or not we plot the Hull Convex
`varnames`	It's a vector containing the names of the active variables
`indnames`	It's a vector containing the names of the individuals, i.e; the rownames
`biplot`	It's a boolean vector indicates whether or not we make a biplot or a simple individual plot
`varlab`	It's vector with values c("text","point","arrow")
`indlab`	It's vector with values c("text","point"
`alpha`	A numeric parameter with values from 0 to 1 and it gives the transparency of the plot

Individual factorial map and Biplot from a PCA

Dhafer Malouche

data(decathlon)
require(FactoMineR)
pc<-PCA(decathlon,scale.unit = T,quanti.sup = 11:12,quali.sup = 13,graph = F)
plotConvexHullPCA(pc = pc,axes = c(1,2),zfactor = decathlon$Competition,convex = T,varnames = colnames(decathlon)[1:10],indnames = rownames(decathlon),varlab = c("text","arrow"),indlab = c("text"))