imputeMat {ptairMS} | R Documentation

## Impute missing values on an matrix set from an ptrSet

### Description

Imputing missing values by returning back to the raw data and fitting the peak shape function on the noise / residuals

### Usage

    imputeMat(X, ptrSet, quantiUnit)

### Arguments

`X` | the peak table matrix with missing values
`ptrSet` | processed by detectPeak function
`quantiUnit` | the unit of the quantities in the matrix `X` (ppb, cps or ncps)

### Value

the same matrix as in input, with missing values imputing

### Examples

    library(ptairData)
    dirRaw <- system.file("extdata/exhaledAir", package = "ptairData")
    exhaledPtrset <- createPtrSet(dir=dirRaw,
    setName="exhaledPtrset", mzCalibRef = c(21.022, 60.0525),
    fracMaxTIC = 0.7, saveDir = NULL )
    exhaledPtrset<-detectPeak(exhaledPtrset,mz=c(21,52))
    eSet <- alignSamples(exhaledPtrset,pValGreaterThres=0.05,fracGroup=0)
    X <-Biobase::exprs(eSet)
    X <- imputeMat(X,exhaledPtrset,quantiUnit='ppb')
    plotFeatures(exhaledPtrset,mz = 52.047,typePlot = "ggplot",colorBy = "subfolder")

[Package ptairMS version 1.0.1 Index]