Mercurial > repos > lecorguille > xcms_plot_chromatogram
view xcms_plot_chromatogram.r @ 0:fe1f0f16d9e6 draft
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit cfb08142b6bfb78002b4e0d7775adb1a58e66c33-dirty
author | lecorguille |
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date | Thu, 08 Mar 2018 02:48:44 -0500 |
parents | |
children | e6fdadaf039e |
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#!/usr/bin/env Rscript # ----- LOG FILE ----- log_file=file("log.txt", open = "wt") sink(log_file) sink(log_file, type = "output") # ----- PACKAGE ----- cat("\tSESSION INFO\n") #Import the different functions source_local <- function(fname){ argv <- commandArgs(trailingOnly=FALSE); base_dir <- dirname(substring(argv[grep("--file=", argv)], 8)); source(paste(base_dir, fname, sep="/")) } source_local("lib.r") pkgs <- c("xcms","batch","RColorBrewer") loadAndDisplayPackages(pkgs) cat("\n\n"); # ----- ARGUMENTS ----- cat("\tARGUMENTS INFO\n") args = parseCommandArgs(evaluate=FALSE) #interpretation of arguments given in command line as an R list of objects write.table(as.matrix(args), col.names=F, quote=F, sep='\t') cat("\n\n") # ----- PROCESSING INFILE ----- cat("\tARGUMENTS PROCESSING INFO\n") #saving the specific parameters method <- args$method; args$method <- NULL cat("\n\n") # ----- ARGUMENTS PROCESSING ----- cat("\tINFILE PROCESSING INFO\n") #image is an .RData file necessary to use xset variable given by previous tools load(args$image); args$image=NULL if (!exists("xdata")) stop("\n\nERROR: The RData doesn't contain any object called 'xdata'. This RData should have been created by an old version of XMCS 2.*") # Handle infiles if (!exists("singlefile")) singlefile <- NULL if (!exists("zipfile")) zipfile <- NULL rawFilePath <- getRawfilePathFromArguments(singlefile, zipfile, args) zipfile <- rawFilePath$zipfile singlefile <- rawFilePath$singlefile args <- rawFilePath$args directory <- retrieveRawfileInTheWorkingDirectory(singlefile, zipfile) cat("\n\n") # ----- MAIN PROCESSING INFO ----- cat("\tMAIN PROCESSING INFO\n") cat("\t\tDRAW GRAPHICS\n") #@TODO: one day, use xdata instead of xset to draw the TICs and BPC or a complete other method getPlotTICs(xdata, pdfname="TICs.pdf") getPlotBPIs(xdata, pdfname="BPIs.pdf") cat("\n\n") # ----- EXPORT ----- cat("\tXCMSnExp OBJECT INFO\n") print(xdata) cat("\n\n") cat("\txcmsSet OBJECT INFO\n") # Get the legacy xcmsSet object xset <- getxcmsSetObject(xdata) print(xset) cat("\n\n") cat("\tDONE\n")