comparison xcms_fillpeaks.r @ 47:1241183c8ae0 draft default tip

planemo upload for repository https://github.com/workflow4metabolomics/tools-metabolomics/ commit 95721ced8347c09e79340e6d67ecb41c5cc64163

46:871ffc15a6da

# ----- 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")
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 = FALSE, quote = FALSE, sep = "\t")

cat("\n\n")

# ----- PROCESSING INFILE -----
cat("\tARGUMENTS PROCESSING INFO\n")

#saving the specific parameters
method <- "FillChromPeaks"

if (!is.null(args$convertRTMinute)) convertRTMinute <- args$convertRTMinute
if (!is.null(args$numDigitsMZ)) numDigitsMZ <- args$numDigitsMZ
if (!is.null(args$numDigitsRT)) numDigitsRT <- args$numDigitsRT

# ----- ARGUMENTS PROCESSING -----
cat("\tINFILE PROCESSING INFO\n")

#image is an .RData file necessary to use xset variable given by previous tools
load(args$image)
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.*")

#Verification of a group step before doing the fillpeaks job.
if (!hasFeatures(xdata)) stop("You must always do a group step after a retcor. Otherwise it won't work for the fillpeaks step")

# Handle infiles
if (!exists("singlefile")) singlefile <- NULL
if (!exists("zipfile")) zipfile <- NULL

xdata <- updateObject(xdata)
register(SerialParam())
xdata <- fillChromPeaks(xdata, param = fillChromPeaksParam)

if (exists("intval")) {
  getPeaklistW4M(xdata, intval, convertRTMinute, numDigitsMZ, numDigitsRT, naTOzero, "variableMetadata.tsv", "dataMatrix.tsv")
}

cat("\n\n")

# ----- EXPORT -----

# Get the legacy xcmsSet object
xset <- getxcmsSetObject(xdata)
print(xset)
cat("\n\n")

#saving R data in .Rdata file to save the variables used in the present tool
objects2save <- c("xdata", "zipfile", "singlefile", "md5sumList", "sampleNamesList") #, "chromTIC", "chromBPI", "chromTIC_adjusted", "chromBPI_adjusted")
save(list = objects2save[objects2save %in% ls()], file = "fillpeaks.RData")

cat("\n\n")

47:1241183c8ae0

# ----- 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")
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 = FALSE, quote = FALSE, sep = "\t")

cat("\n\n")

# ----- PROCESSING INFILE -----
cat("\tARGUMENTS PROCESSING INFO\n")

# saving the specific parameters
method <- "FillChromPeaks"

if (!is.null(args$convertRTMinute)) convertRTMinute <- args$convertRTMinute
if (!is.null(args$numDigitsMZ)) numDigitsMZ <- args$numDigitsMZ
if (!is.null(args$numDigitsRT)) numDigitsRT <- args$numDigitsRT

# ----- ARGUMENTS PROCESSING -----
cat("\tINFILE PROCESSING INFO\n")

# image is an .RData file necessary to use xset variable given by previous tools
load(args$image)
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.*")

# Verification of a group step before doing the fillpeaks job.
if (!hasFeatures(xdata)) stop("You must always do a group step after a retcor. Otherwise it won't work for the fillpeaks step")

# Handle infiles
if (!exists("singlefile")) singlefile <- NULL
if (!exists("zipfile")) zipfile <- NULL

xdata <- updateObject(xdata)
register(SerialParam())
xdata <- fillChromPeaks(xdata, param = fillChromPeaksParam)

if (exists("intval")) {
    getPeaklistW4M(xdata, intval, convertRTMinute, numDigitsMZ, numDigitsRT, naTOzero, "variableMetadata.tsv", "dataMatrix.tsv")
}

cat("\n\n")

# ----- EXPORT -----

# Get the legacy xcmsSet object
xset <- getxcmsSetObject(xdata)
print(xset)
cat("\n\n")

# saving R data in .Rdata file to save the variables used in the present tool
objects2save <- c("xdata", "zipfile", "singlefile", "md5sumList", "sampleNamesList") # , "chromTIC", "chromBPI", "chromTIC_adjusted", "chromBPI_adjusted")
save(list = objects2save[objects2save %in% ls()], file = "fillpeaks.RData")

cat("\n\n")