plotPCcorrs {pcaExplorer} | R Documentation |
Plots the significance of the (cor)relation of each covariate vs a principal component
plotPCcorrs(pccorrs, pc = 1, logp = TRUE)
pccorrs |
A |
pc |
An integer number, corresponding to the principal component of interest |
logp |
Logical, defaults to |
A base plot object
library(DESeq2) dds <- makeExampleDESeqDataSet_multifac(betaSD_condition = 3,betaSD_tissue = 1) rlt <- rlogTransformation(dds) pcaobj <- prcomp(t(assay(rlt))) res <- correlatePCs(pcaobj,colData(dds)) plotPCcorrs(res)