corrSetQC: Compute QC adjusted matrices
In kroemerlab/GRMeta: Processing MetX data

Description Usage Arguments Details Value Author(s) Examples

Compute QC adjusted matrices

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corrSetQC(obj,what,Samp2Corr=obj$Sid,Var2Corr=obj$Analyte,lQC=obj$Sid[which(obj$Meta$sType=="QC")],
                    nminQC=3,propNNA=0.5,lPcs=1:2,outfile=NULL,doplot=TRUE,Date2use="Date",complete="nothing",ipc=1,imod=4,verbose=FALSE)

`obj`	metaboSet object
`what`	Which matrix to use
`Samp2Corr`	List of Sids to be corrected
`Var2Corr`	List of Analyte used for correction
`lQC`	List of QC Sids
`nminQC`	Number of non-missing QC for each variables. Default: 3
`propNNA`	Proportion of non-missing allowed in the QC samples. Default: 0.5
`lPcs`	Vector of PCs to be investigated. Default: 1:2
`outfile`	Optional PDF file to dum p the plots
`doplot`	Do plots?
`Date2use`	Column name in obj$File to be used in the calculation
`complete`	If any Sid not in Samp2Corr or Analyte in Var2Corr excluded or missing. nothing: former data are used in place of the new data, NA: new data replaced by NA, remove: corresponding rows/columns are excluded
`ipc`	PC used for adjusting
`imod`	Model used for adjusting: 1, linear 2, quadratic 3, order 3 4, spline
`verbose`	Expanded output