initialize,purityD-method {msPurity} | R Documentation

## Constructor for S4 class to represent a DI-MS purityD

### Description

The class used to predict purity from an DI-MS dataset.

### Usage

    ## S4 method for signature 'purityD'
    initialize(.Object, fileList, cores = 1, mzML = TRUE, mzRback = "pwiz")

### Arguments

`.Object` | object; purityD object
`fileList` | data.frame; created using GetFiles, data.frame with filepaths and sample class information
`cores` | numeric; Number of cores used to perform Hierarchical clustering WARNING: memory intensive, default 1
`mzML` | boolean; TRUE if mzML to be used FALSE if .csv file to be used
`mzRback` | character; backend to use for mzR parsing

### Value

purityD object

### Examples

    datapth <- system.file("extdata", "dims", "mzML", package="msPurityData")
    inDF <- Getfiles(datapth, pattern=".mzML", check = FALSE, cStrt = FALSE)
    ppDIMS <- purityD(fileList=inDF, cores=1, mzML=TRUE)

[Package msPurity version 1.18.0 Index]