xRegress | R Documentation |
xRegress
is supposed to regress data according to principle
components (PCs).
xRegress(data, center = TRUE, scale = TRUE, which.PCs = NULL)
data |
a data matrix/frame with, for exampe, genes in rows and samples in columns |
center |
logical to indicate whether the input data columns should be shifted to be zero centered when calculating PCs |
scale |
logical to indicate whether the input data columns should have unit variance when calculating PCs |
which.PCs |
a vector specifying which PCs are used for being regressed out. If NULL (by default), no gression is done |
a list with three componets:
regressed
: the regressed data with the same dimension as
the input data
PCs
: a data matrix of PCs X samples
Ss
: a vector storing the square roots of the eigenvalues
none
xRegress
## Not run: # Load the library library(XGR) ## End(Not run) ## Not run: data(Fang) ls_res <- xRegress(Fang, which.PCs=1) gp <- xHeatmap(ls_res$PCs) gp ## End(Not run)