svacor: Use Surrogate Variable Analysis(SVA) to correct the unknown...
In yufree/xsetplus: process and annotate data with xcms in a simple way

Description Usage Arguments Details Value See Also Examples

Use Surrogate Variable Analysis(SVA) to correct the unknown batch effects

1	svacor(data, lv)

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

Use Surrogate Variable Analysis(SVA) to correct the unknown batch effects

list object with raw data, corrected data, signal part, batch part, random errors part, p-values, q-values. If no surrogate variables were found, corresponding part would miss.

isvacor, pcacor,limmafit,famtcor

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

## End(Not run)