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# msPurity R package for processing MS/MS data - Copyright (C)
#
# This file is part of msPurity.
#
# msPurity is a free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# msPurity is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with msPurity. If not, see <https://www.gnu.org/licenses/>.
#' @title Using purityD object, save peaks as text files
#'
#' @description
#' Uses a purityD object with references to multiple MS files.
#' Predicts the purity of the processed sample files
#'
#' @aliases writeOut
#'
#' @param Object object; purityD object
#' @param outDir character; Directory to save text files
#' @param original boolean; If the original (unprocessed) files are to be saved to text files
#' @return purityD object
#' @export
setMethod(f="writeOut", signature="purityD",
definition= function(Object, outDir, original) {
dir.create(outDir)
# write out processed spectra
for (i in 1:length(Object@avPeaks$processed)){
# get file info
fileinfo <- Object@fileList[i,]
name <- as.character(fileinfo$name)
# Filename
fn1 <- 'processed.csv'
fn2 <- 'original.csv'
nopeaks <- 'nopeaks.txt'
fname1 <- file.path(outDir, paste(name, fn1, sep="_"))
Object@outFiles[i] <- fname1
if(nrow(Object@avPeaks$processed[[i]])==0){
fnopeak <- file.path(outDir, paste(name, sep="_NO_PEAKS.csv"))
write("No peaks after processing, possibly the parameters are to harsh for RSD or min scan",fnopeak)
}else{
write.csv(Object@avPeaks$processed[[i]], fname1, row.names = FALSE)
}
if(original){
fname2 <- file.path(outDir, paste(name, fn2, sep="_"))
write.csv(Object@avPeaks$orig[[i]], fname2, row.names = FALSE)
}
}
# write out meta information
return(Object)
})
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