Mercurial > repos > lecorguille > ipo
view ipo4retgroup.r @ 1:ae8de756dfcf draft
"planemo upload for repository https://github.com/rietho/IPO commit 5083f3b5800bdd8515519f2f6398046b41e1df97"
author | workflow4metabolomics |
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date | Mon, 16 Dec 2019 05:26:42 -0500 |
parents | ac5f2936575b |
children | 8e5f667359cb |
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#!/usr/bin/env Rscript #Authors Gildas Le Corguille and Yann Guitton # ----- 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("IPO","batch") 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") samplebyclass = 2 if (!is.null(args$samplebyclass)){ samplebyclass = args$samplebyclass; args$samplebyclass=NULL } cat("\n\n") # ----- INFILE PROCESSING ----- cat("\tINFILE PROCESSING INFO\n") options(bitmapType='cairo') #image is an .RData file necessary to use xset variable given by previous tools load(args$image); args$image=NULL # Because so far CAMERA isn't compatible with the new XCMSnExp object if (exists("xdata")){ xset <- getxcmsSetObject(xdata) } if (!exists("xset")) stop("\n\nERROR: The RData doesn't contain any object called 'xdata' which is provided by the tool: MSnbase readMSData") # Handle infiles if (!exists("singlefile")) singlefile <- NULL rawFilePath <- getRawfilePathFromArguments(singlefile, NULL, args) singlefile <- rawFilePath$singlefile print(singlefile) directory <- retrieveRawfileInTheWorkingDirectory(singlefile, NULL) cat("\n\n") # ----- MAIN PROCESSING INFO ----- cat("\tMAIN PROCESSING INFO\n") ipo4retgroup(xset, directory, "IPO_parameters4xcmsSet.tsv", args, samplebyclass) cat("\n\n") cat("\tDONE\n")