enviGCMS (version 0.7.1)

svapca: Principal component analysis(PCA) for SVA corrected data and raw data

Description

Principal component analysis(PCA) for SVA corrected data and raw data

Usage

svapca(list, center = TRUE, scale = TRUE, lv = NULL)

Value

plot

Arguments

list

results from svacor function

center

parameters for PCA

scale

parameters for scale

lv

group information

See Also

svacor, svaplot, svabatch

Examples

if (FALSE) {
library(faahKO)
cdfpath <- system.file("cdf", package = "faahKO")
cdffiles <- list.files(cdfpath, recursive = TRUE, full.names = TRUE)
xset <- xcmsSet(cdffiles)
xset <- group(xset)
xset2 <- retcor(xset, family = "symmetric", plottype = "mdevden")
xset2 <- group(xset2, bw = 10)
xset3 <- fillPeaks(xset2)
df <- svacor(xset3)
svapca(df)
}