svacor: Surrogate variable analysis(SVA) to correct the unknown batch...

In enviGCMS: GC/LC-MS Data Analysis for Environmental Science

Surrogate variable analysis(SVA) to correct the unknown batch effects

Description

Surrogate variable analysis(SVA) to correct the unknown batch effects

Usage

svacor(xset, lv = NULL, method = "medret", intensity = "into")

Arguments

xset	xcmsset object
lv	group information
method	parameter for groupval function
intensity	parameter for groupval function

Details

this is used for reviesed version of SVA 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, mass, rt, Posterior Probabilities of Surrogate variables and Posterior Probabilities of Mod. If no surrogate variable found, corresponding part would miss.

See Also

svapca, svaplot, svabatch

Examples

## Not run: 
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)

## End(Not run)

enviGCMS documentation built on Feb. 16, 2023, 8:08 p.m.