pcacor: Use Principal component analysis(PCA) to correct the unknown...

In yufree/xsetplus: process and annotate data with xcms in a simple way

Description

Use Principal component analysis(PCA) to correct the unknown batch effects

Usage

pcacor(data, lv)

Arguments

data	data as mzrt profile
lv	factor vector for the group infomation

Details

Use Principal component analysis(PCA) to correct the unknown batch effects

Value

list object with various components such raw data, corrected data, signal part, random errors part, batch part, p-values, q-values.

See Also

isvacor,svacor, limmafit,famtcor

Examples

## Not run: 
library(faahKO)
cdfpath <- system.file('cdf', package = 'faahKO')
cdffiles <- list.files(cdfpath, recursive = TRUE, full.names = TRUE)
list <- getmr(cdfpath, pmethod = ' ')
li <- pcacor(list$data,list$group$class)

## End(Not run)

yufree/xsetplus documentation built on Nov. 11, 2019, 4:22 p.m.