doQCRLSC: Using the QC samples to do the quality control-robust spline...

In metaX: An R package for metabolomic data analysis

Description

Using the QC samples to do the quality control-robust spline signal correction.

Usage

doQCRLSC(para, cvFilter = 0.3, impute = TRUE, cpu = 0, ...)

Arguments

para	An object of metaXpara
cvFilter	The threshold of CV filter
impute	A logical indicates whether impute the result
cpu	The number of cpu used for processing
...	Additional parameters

Details

The smoothing parameter is optimised using leave-one-out cross validation to avoid overfitting.

Value

A list object

Author(s)

Bo Wen [e-mail]

See Also

plotQCRLSC

Examples

para <- new("metaXpara")
pfile <- system.file("extdata/MTBLS79.txt",package = "metaX")
sfile <- system.file("extdata/MTBLS79_sampleList.txt",package = "metaX")
rawPeaks(para) <- read.delim(pfile,check.names = FALSE)[1:20,]
sampleListFile(para) <- sfile
para <- reSetPeaksData(para)
para <- missingValueImpute(para)
res <- doQCRLSC(para,cpu=1)

metaX documentation built on Oct. 5, 2016, 4:41 a.m.