Mercurial > repos > lecorguille > xcms_retcor
annotate xcms.r @ 28:13885e67b123 draft
planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 5f19510181ee5f15e2a2bee139c2cb2e6a5dd78e
author | lecorguille |
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date | Thu, 26 Oct 2017 11:16:24 -0400 |
parents | 30410a052ab3 |
children | c013ed353a2f |
rev | line source |
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1 #!/usr/bin/env Rscript |
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2 # xcms.r version="2.2.0" |
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3 #Authors ABIMS TEAM |
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4 #BPC Addition from Y.guitton |
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5 |
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6 |
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7 # ----- LOG FILE ----- |
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8 log_file=file("log.txt", open = "wt") |
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9 sink(log_file) |
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10 sink(log_file, type = "output") |
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11 |
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12 |
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13 # ----- PACKAGE ----- |
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14 cat("\tPACKAGE INFO\n") |
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15 #pkgs=c("xcms","batch") |
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planemo upload for repository https://github.com/workflow4metabolomics/xcms commit bff1445c9b00ccdbe05ee3dc6ed24221033384b9
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16 pkgs=c("tools","parallel","BiocGenerics", "Biobase", "Rcpp", "mzR", "xcms","snow","batch") |
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17 for(pkg in pkgs) { |
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planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 22c4e92909198328fc7439ff47e4546a273eb907
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18 suppressPackageStartupMessages( stopifnot( library(pkg, quietly=TRUE, logical.return=TRUE, character.only=TRUE))) |
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planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 22c4e92909198328fc7439ff47e4546a273eb907
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19 cat(pkg,"\t",as.character(packageVersion(pkg)),"\n",sep="") |
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20 } |
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21 source_local <- function(fname){ argv <- commandArgs(trailingOnly = FALSE); base_dir <- dirname(substring(argv[grep("--file=", argv)], 8)); source(paste(base_dir, fname, sep="/")) } |
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planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 08e7f269a5c59687a7768be8db5fcb4e4d736093
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22 cat("\n\n"); |
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23 |
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24 |
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25 |
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26 |
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27 |
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28 # ----- ARGUMENTS ----- |
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29 cat("\tARGUMENTS INFO\n") |
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30 listArguments = parseCommandArgs(evaluate=FALSE) #interpretation of arguments given in command line as an R list of objects |
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31 write.table(as.matrix(listArguments), col.names=F, quote=F, sep='\t') |
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32 |
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33 cat("\n\n"); |
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34 |
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35 |
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36 # ----- ARGUMENTS PROCESSING ----- |
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37 cat("\tINFILE PROCESSING INFO\n") |
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38 |
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39 #image is an .RData file necessary to use xset variable given by previous tools |
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40 if (!is.null(listArguments[["image"]])){ |
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planemo upload for repository https://github.com/workflow4metabolomics/xcms commit 22c4e92909198328fc7439ff47e4546a273eb907
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41 load(listArguments[["image"]]); listArguments[["image"]]=NULL |
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42 } |
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43 |
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44 #Import the different functions |
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45 source_local("lib.r") |
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46 |
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47 cat("\n\n") |
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48 |
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49 #Import the different functions |
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50 |
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51 # ----- PROCESSING INFILE ----- |
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52 cat("\tARGUMENTS PROCESSING INFO\n") |
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53 |
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54 # Save arguments to generate a report |
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55 if (!exists("listOFlistArguments")) listOFlistArguments=list() |
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56 listOFlistArguments[[paste(format(Sys.time(), "%y%m%d-%H:%M:%S_"),listArguments[["xfunction"]],sep="")]] = listArguments |
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57 |
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58 |
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59 #saving the commun parameters |
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60 thefunction = listArguments[["xfunction"]]; listArguments[["xfunction"]]=NULL #delete from the list of arguments |
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61 |
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62 xsetRdataOutput = paste(thefunction,"RData",sep=".") |
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63 if (!is.null(listArguments[["xsetRdataOutput"]])){ |
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64 xsetRdataOutput = listArguments[["xsetRdataOutput"]]; listArguments[["xsetRdataOutput"]]=NULL |
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65 } |
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66 |
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67 #saving the specific parameters |
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68 sampleMetadataOutput = "sampleMetadata.tsv" |
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69 if (!is.null(listArguments[["sampleMetadataOutput"]])){ |
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70 sampleMetadataOutput = listArguments[["sampleMetadataOutput"]]; listArguments[["sampleMetadataOutput"]]=NULL |
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71 } |
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72 variableMetadataOutput = "variableMetadata.tsv" |
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73 if (!is.null(listArguments[["variableMetadataOutput"]])){ |
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74 variableMetadataOutput = listArguments[["variableMetadataOutput"]]; listArguments[["variableMetadataOutput"]]=NULL |
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75 } |
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76 dataMatrixOutput = "dataMatrix.tsv" |
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77 if (!is.null(listArguments[["dataMatrixOutput"]])){ |
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78 dataMatrixOutput = listArguments[["dataMatrixOutput"]]; listArguments[["dataMatrixOutput"]]=NULL |
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79 } |
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80 if (!is.null(listArguments[["convertRTMinute"]])){ |
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81 convertRTMinute = listArguments[["convertRTMinute"]]; listArguments[["convertRTMinute"]]=NULL |
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82 } |
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83 if (!is.null(listArguments[["numDigitsMZ"]])){ |
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84 numDigitsMZ = listArguments[["numDigitsMZ"]]; listArguments[["numDigitsMZ"]]=NULL |
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85 } |
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86 if (!is.null(listArguments[["numDigitsRT"]])){ |
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87 numDigitsRT = listArguments[["numDigitsRT"]]; listArguments[["numDigitsRT"]]=NULL |
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88 } |
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89 if (!is.null(listArguments[["intval"]])){ |
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90 intval = listArguments[["intval"]]; listArguments[["intval"]]=NULL |
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91 } |
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92 |
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93 |
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94 if (thefunction %in% c("xcmsSet","retcor","fillPeaks")) { |
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95 if (!exists("singlefile")) singlefile=NULL |
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96 if (!exists("zipfile")) zipfile=NULL |
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97 rawFilePath = getRawfilePathFromArguments(singlefile, zipfile, listArguments) |
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98 zipfile = rawFilePath$zipfile |
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99 singlefile = rawFilePath$singlefile |
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100 listArguments = rawFilePath$listArguments |
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101 directory = retrieveRawfileInTheWorkingDirectory(singlefile, zipfile) |
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102 md5sumList=list("origin"=getMd5sum(directory)) |
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103 } |
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104 |
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105 #addition of the directory to the list of arguments in the first position |
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106 if (thefunction == "xcmsSet") { |
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107 checkXmlStructure(directory) |
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108 checkFilesCompatibilityWithXcms(directory) |
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109 listArguments=append(directory, listArguments) |
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110 } |
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111 |
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112 |
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113 #addition of xset object to the list of arguments in the first position |
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114 if (exists("xset")){ |
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115 listArguments=append(list(xset), listArguments) |
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116 } |
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117 |
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118 cat("\n\n") |
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119 |
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120 |
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121 |
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122 |
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123 # ----- MAIN PROCESSING INFO ----- |
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124 cat("\tMAIN PROCESSING INFO\n") |
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125 |
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126 |
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127 #Verification of a group step before doing the fillpeaks job. |
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128 |
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129 if (thefunction == "fillPeaks") { |
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130 res=try(is.null(groupnames(xset))) |
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131 if (class(res) == "try-error"){ |
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132 error<-geterrmessage() |
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133 write(error, stderr()) |
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134 stop("You must always do a group step after a retcor. Otherwise it won't work for the fillpeaks step") |
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135 } |
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136 |
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137 } |
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138 |
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139 #change the default display settings |
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140 #dev.new(file="Rplots.pdf", width=16, height=12) |
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141 pdf(file="Rplots.pdf", width=16, height=12) |
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142 if (thefunction == "group") { |
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143 par(mfrow=c(2,2)) |
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144 } |
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145 #else if (thefunction == "retcor") { |
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146 #try to change the legend display |
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147 # par(xpd=NA) |
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148 # par(xpd=T, mar=par()$mar+c(0,0,0,4)) |
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149 #} |
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150 |
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151 |
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152 #execution of the function "thefunction" with the parameters given in "listArguments" |
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153 |
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154 cat("\t\tCOMPUTE\n") |
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155 xset = do.call(thefunction, listArguments) |
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156 |
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157 # check if there are no peaks |
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158 if (nrow(peaks(xset)) == 0) { |
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159 stop("No peaks were detected. You should review your settings") |
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160 } |
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161 |
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162 |
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163 cat("\n\n") |
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164 |
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165 dev.off() #dev.new(file="Rplots.pdf", width=16, height=12) |
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166 |
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167 if (thefunction == "xcmsSet") { |
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168 |
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169 #transform the files absolute pathways into relative pathways |
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170 xset@filepaths<-sub(paste(getwd(),"/",sep="") ,"", xset@filepaths) |
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171 if(exists("zipfile") && !is.null(zipfile) && (zipfile!="")) { |
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172 |
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173 #Modify the samples names (erase the path) |
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174 for(i in 1:length(sampnames(xset))){ |
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175 |
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176 sample_name=unlist(strsplit(sampnames(xset)[i], "/")) |
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177 sample_name=sample_name[length(sample_name)] |
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178 sample_name= unlist(strsplit(sample_name,"[.]"))[1] |
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179 sampnames(xset)[i]=sample_name |
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180 |
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181 } |
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182 |
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183 } |
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184 |
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185 } |
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186 |
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187 # -- TIC -- |
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188 if (thefunction == "xcmsSet") { |
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189 cat("\t\tGET TIC GRAPH\n") |
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190 sampleNamesList = getSampleMetadata(xcmsSet=xset, sampleMetadataOutput=sampleMetadataOutput) |
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191 getTICs(xcmsSet=xset, rt="raw") |
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192 getBPCs(xcmsSet=xset, rt="raw") |
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193 } else if (thefunction == "retcor") { |
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194 cat("\t\tGET TIC GRAPH\n") |
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195 getTICs(xcmsSet=xset, rt="corrected") |
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196 getBPCs(xcmsSet=xset, rt="corrected") |
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197 } |
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198 |
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199 if ((thefunction == "group" || thefunction == "fillPeaks") && exists("intval")) { |
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200 getPeaklistW4M(xset,intval,convertRTMinute,numDigitsMZ,numDigitsRT,variableMetadataOutput,dataMatrixOutput) |
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201 } |
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202 |
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203 |
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204 cat("\n\n") |
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205 |
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206 # ----- EXPORT ----- |
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207 |
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208 cat("\tXSET OBJECT INFO\n") |
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209 print(xset) |
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210 #delete the parameters to avoid the passage to the next tool in .RData image |
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211 |
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212 |
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213 #saving R data in .Rdata file to save the variables used in the present tool |
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214 objects2save = c("xset","zipfile","singlefile","listOFlistArguments","md5sumList","sampleNamesList") |
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215 save(list=objects2save[objects2save %in% ls()], file=xsetRdataOutput) |
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216 |
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217 cat("\n\n") |
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218 |
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219 |
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220 cat("\tDONE\n") |