data(STATegRa_S3)
B1 <- createOmicsExpressionSet(Data=Block1.PCA, pData=ed.PCA, pDataDescr=c("classname"))
B2 <- createOmicsExpressionSet(Data=Block2.PCA, pData=ed.PCA, pDataDescr=c("classname"))
test_modelSelection_single <- function() {
res <- modelSelection(Input=list(B1, B2), Rmax=4, fac.sel="single%", varthreshold=0.03, center=TRUE, scale=FALSE, weight=TRUE, plot_common=FALSE, plot_dist=FALSE)
checkEquals(res$common$commonComps, 2)
checkEquals(res$dist[[1]]$numComps, 2)
checkEquals(res$dist[[2]]$numComps, 2)
}
test_modelSelection_accum <- function() {
res <- modelSelection(Input=list(B1, B2), Rmax=4, fac.sel="%accum", varthreshold=0.9, center=TRUE, scale=FALSE, weight=TRUE, plot_common=FALSE, plot_dist=FALSE)
checkEquals(res$common$commonComps, 2)
checkEquals(res$dist[[1]]$numComps, 0)
checkEquals(res$dist[[2]]$numComps, 0)
}
#test_modelSelection_relabs <- function() {
# doesn't work
#res <- modelSelection(Input=list(B1, B2), Rmax=4, fac.sel="rel.abs", nvar=0.5)
#}
test_modelSelection_fixednum <- function() {
res <- modelSelection(Input=list(B1, B2), Rmax=4, fac.sel="fixed.num", PCnum=3, center=TRUE, scale=FALSE, weight=TRUE, plot_common=FALSE, plot_dist=FALSE)
checkEquals(res$common$commonComps, 2)
checkEquals(res$dist[[1]]$numComps, 1)
checkEquals(res$dist[[2]]$numComps, 1)
}
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