#' \dontrun{
## successful: FALSE
library(mixOmics.data)
# implement IPCA on a microarray dataset
sipca.res <- sipca(liver.toxicity$gene, ncomp = 3, mode="deflation", keepX=c(50,50,50))
sipca.res
# samples representation
plotIndiv(sipca.res, ind.names = liver.toxicity$treatment[, 4],
group = as.numeric(as.factor(liver.toxicity$treatment[, 4])))
plotIndiv(sipca.res, cex = 1,
col = as.numeric(as.factor(liver.toxicity$treatment[, 4])),style="3d")
# variables representation
plotVar(sipca.res, cex = 2.5)
plotVar(sipca.res, rad.in = 0.5, cex = 1,style="3d", cutoff = 0.75)
#' }
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