initialize-purityD-method: Constructor for S4 class to represent a DI-MS purityD

Description Usage Arguments Value Examples

Description

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

Usage

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## 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

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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)

msPurity documentation built on Nov. 17, 2017, 10 a.m.