Mercurial > repos > eschen42 > w4mclassfilter
annotate w4mclassfilter_wrapper.R @ 7:582a8a42a93b draft
planemo upload for repository https://github.com/HegemanLab/w4mclassfilter_galaxy_wrapper/tree/master commit b8d012c6d259a0ce736e2cff501990b35dabd704
author | eschen42 |
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date | Mon, 29 Jan 2018 21:20:07 -0500 |
parents | 38ccf6722d54 |
children | d5cf23369d12 |
rev | line source |
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1 #!/usr/bin/env Rscript |
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2 |
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3 library(batch) ## parseCommandArgs |
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4 |
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5 ######## |
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6 # MAIN # |
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7 ######## |
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8 |
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9 argVc <- unlist(parseCommandArgs(evaluate=FALSE)) |
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10 |
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11 ##------------------------------ |
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12 ## Initializing |
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13 ##------------------------------ |
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14 |
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15 ## options |
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16 ##-------- |
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17 |
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18 strAsFacL <- options()$stringsAsFactors |
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19 options(stringsAsFactors = FALSE) |
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20 |
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21 ## libraries |
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22 ##---------- |
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23 |
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24 suppressMessages(library(w4mclassfilter)) |
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25 |
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26 if(packageVersion("w4mclassfilter") < "0.98.0") |
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27 stop("Please use 'w4mclassfilter' versions of 0.98.0 and above") |
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28 |
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29 ## constants |
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30 ##---------- |
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31 |
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32 modNamC <- "w4mclassfilter" ## module name |
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33 |
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34 topEnvC <- environment() |
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35 flgC <- "\n" |
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36 |
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37 ## functions |
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38 ##---------- |
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39 |
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40 flgF <- function(tesC, |
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41 envC = topEnvC, |
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42 txtC = NA) { ## management of warning and error messages |
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43 |
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44 tesL <- eval(parse(text = tesC), envir = envC) |
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45 |
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46 if(!tesL) { |
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47 |
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48 #sink(NULL) |
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49 stpTxtC <- ifelse(is.na(txtC), |
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50 paste0(tesC, " is FALSE"), |
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51 txtC) |
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52 |
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53 stop(stpTxtC, |
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54 call. = FALSE) |
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55 |
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56 } |
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57 |
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58 } ## flgF |
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59 |
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60 |
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61 ## log file |
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62 ##--------- |
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63 |
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64 my_print <- function(x, ...) { cat(c(x, ...))} |
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65 |
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66 my_print("\nStart of the '", modNamC, "' Galaxy module call: ", |
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67 format(Sys.time(), "%a %d %b %Y %X"), "\n", sep="") |
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68 |
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69 ## arguments |
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70 ##---------- |
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71 |
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72 # files |
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73 |
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74 dataMatrix_in <- as.character(argVc["dataMatrix_in"]) |
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75 dataMatrix_out <- as.character(argVc["dataMatrix_out"]) |
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76 |
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77 sampleMetadata_in <- as.character(argVc["sampleMetadata_in"]) |
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78 sampleMetadata_out <- as.character(argVc["sampleMetadata_out"]) |
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79 |
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80 variableMetadata_in <- as.character(argVc["variableMetadata_in"]) |
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81 variableMetadata_out <- as.character(argVc["variableMetadata_out"]) |
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82 |
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83 # other parameters |
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84 |
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85 wildcards <- as.logical(argVc["wildcards"]) |
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86 sampleclassNames <- as.character(argVc["sampleclassNames"]) |
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87 sampleclassNames <- strsplit(x = sampleclassNames, split = ",", fixed = TRUE)[[1]] |
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88 if (wildcards) { |
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89 sampleclassNames <- gsub("[.]", "[.]", sampleclassNames) |
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90 sampleclassNames <- utils::glob2rx(sampleclassNames, trim.tail = FALSE) |
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91 } |
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92 inclusive <- as.logical(argVc["inclusive"]) |
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93 classnameColumn <- as.character(argVc["classnameColumn"]) |
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94 samplenameColumn <- as.character(argVc["samplenameColumn"]) |
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95 |
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96 variable_range_filter <- as.character(argVc["variable_range_filter"]) |
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97 variable_range_filter <- strsplit(x = variable_range_filter, split = ",", fixed = TRUE)[[1]] |
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98 |
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99 ##------------------------------ |
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100 ## Computation |
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101 ##------------------------------ |
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102 |
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103 result <- w4m_filter_by_sample_class( |
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104 dataMatrix_in = dataMatrix_in |
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105 , sampleMetadata_in = sampleMetadata_in |
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106 , variableMetadata_in = variableMetadata_in |
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107 , dataMatrix_out = dataMatrix_out |
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108 , sampleMetadata_out = sampleMetadata_out |
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109 , variableMetadata_out = variableMetadata_out |
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110 , classes = sampleclassNames |
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111 , include = inclusive |
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112 , class_column = classnameColumn |
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113 , samplename_column = samplenameColumn |
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114 , variable_range_filter = variable_range_filter |
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115 , failure_action = my_print |
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116 ) |
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117 |
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118 my_print("\nResult of '", modNamC, "' Galaxy module call to 'w4mclassfilter::w4m_filter_by_sample_class' R function: ", |
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119 as.character(result), "\n", sep = "") |
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120 |
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121 ##-------- |
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122 ## Closing |
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123 ##-------- |
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124 |
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125 my_print("\nEnd of '", modNamC, "' Galaxy module call: ", |
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126 as.character(Sys.time()), "\n", sep = "") |
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127 |
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128 #sink() |
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129 |
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130 if (!file.exists(dataMatrix_out)) { |
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131 print(sprintf("ERROR %s::w4m_filter_by_sample_class - file '%s' was not created", modNamC, dataMatrix_out)) |
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132 }# else { print(sprintf("INFO %s::w4m_filter_by_sample_class - file '%s' was exists", modNamC, dataMatrix_out)) } |
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133 |
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134 if (!file.exists(variableMetadata_out)) { |
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135 print(sprintf("ERROR %s::w4m_filter_by_sample_class - file '%s' was not created", modNamC, variableMetadata_out)) |
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136 } # else { print(sprintf("INFO %s::w4m_filter_by_sample_class - file '%s' was exists", modNamC, variableMetadata_out)) } |
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137 |
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138 if (!file.exists(sampleMetadata_out)) { |
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139 print(sprintf("ERROR %s::w4m_filter_by_sample_class - file '%s' was not created", modNamC, sampleMetadata_out)) |
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140 } # else { print(sprintf("INFO %s::w4m_filter_by_sample_class - file '%s' was exists", modNamC, sampleMetadata_out)) } |
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141 |
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142 if( !result ) { |
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143 stop(sprintf("ERROR %s::w4m_filter_by_sample_class - method failed", modNamC)) |
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144 } |
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145 |
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146 rm(list = ls()) |