#' \dontrun{
## successful: TRUE
library(mixOmics.data)
# 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$treatment[, 4])))
# example with MultiAssayExperiment class
# --------------------------------
ipca.res <- ipca(liver.toxicity.mae, assay='gene', ncomp = 3, mode="deflation")
ipca.res
plotIndiv(ipca.res, cex = 1,
col = as.numeric(as.factor(liver.toxicity$treatment[, 4])),style="3d")
# variables representation with cutoff
plotVar(ipca.res, cex = 1, cutoff = 0.5)
## 3d
plotVar(ipca.res, rad.in = 0.5, cex = 0.5,style="3d", cutoff = 0.8)
#' }
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