data(liver.toxicity)
# implement IPCA on a microarray dataset
ipca.res <- ipca(liver.toxicity$gene, ncomp = 3, mode="deflation")
ipca.res
# samples representation
plotIndiv(
ipca.res,
ind.names = as.character(liver.toxicity$treatment[, 4]),
group = as.numeric(as.factor(liver.toxicity$treatment[, 4]))
)
\dontrun{
plotIndiv(ipca.res,
cex = 0.01,
col = as.numeric(as.factor(liver.toxicity$treatment[, 4])),
style = "3d")
}
# variables representation
plotVar(ipca.res, cex = 0.5)
\dontrun{
plotVar(ipca.res, rad.in = 0.5, cex = 0.5, style="3d")
}
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