initialize,purityD-method | R Documentation |
The class used to predict purity from an DI-MS dataset.
## S4 method for signature 'purityD'
initialize(.Object, fileList, cores = 1, mzML = TRUE, mzRback = "pwiz")
.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 |
purityD object
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)
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