annotate abims_anova.xml @ 8:a2b19a78306a draft default tip

planemo upload for repository https://github.com/workflow4metabolomics/anova commit 493595bdd63ff88e7b93f22d8a092a70d4f39a05
author lecorguille
date Mon, 05 Mar 2018 09:24:51 -0500
parents 8190dfb5a351
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1 <tool id="abims_anova" name="Anova" version="1.2.1">
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3 <description>N-way anova. With ou Without interactions</description>
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5 <requirements>
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6 <requirement type="package" version="1.1_4">r-batch</requirement>
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7 <requirement type="package" version="1.2">r-venn</requirement>
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8 </requirements>
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10 <stdio>
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11 <exit_code range="1:" level="fatal" />
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12 </stdio>
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14 <command>
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15 Rscript $__tool_directory__/abims_anova.r file '$input' sampleinfo '$sampleinfo' varinfo '$varinfo' mode '$mode'
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16 condition "c('$condition_1'
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17 #for $i, $s in enumerate( $conditions )
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18 ,'${s.condition}'
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19 #end for
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20 )"
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21 interaction $interaction
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22 method $method
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23 threshold $threshold
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24 selection_method $selection_method
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25 sep '$sep'
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26 dec '$dec'
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27 outputdatapvalue '$varMetaPValue'
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28 outputdatasignif '$dataSignif'
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29 </command>
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31 <inputs>
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32 <param name="input" type="data" label="Data Matrix file" format="tabular,csv" help="Matrix of numeric data with headers." />
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33 <param name="sampleinfo" type="data" label="Sample Metadata file" format="tabular" help="Tabular file with the data metadata : one sample per line and at least two columns : ids and one condition" />
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34 <param name="varinfo" type="data" label="Variable Metadata file" format="tabular" help="Tabular file with information about your tested variables. Only used to aggregate generated information." />
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36 <param name="mode" type="select" help="Perform the anova tests on column/row; for W4M 3-tables format, use 'row'." format="text" optional="true">
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37 <label>Mode</label>
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38 <option value="row" selected="True">row</option>
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39 <option value="column">column</option>
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40 </param>
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41
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42 <param name="condition_1" type="text" label="Condition" value="" help="The column name of the condition. ex: hour or treatment" optional="false" />
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43 <repeat name="conditions" title="Conditions for N-ways anova">
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44 <param name="condition" type="text" label="Condition" value="" help="The column name of the condition. ex: hour or treatment" />
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45 </repeat>
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47 <param name="interaction" type="boolean" label="Enable interaction response p-values" truevalue="T" falsevalue="F" help="Used if more than 1 conditon. The anova will produse p-value according to the interaction between your condition (ex: condition1:conditions2, condition1:conditions3, condition2:conditions3 and condition1:condition2:conditions3)" />
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48
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49 <param name="method" type="select" help="Method used to apply a correction on the pvalue because of the number of test" >
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50 <label>PValue adjusted method</label>
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51 <option value="BH">BH</option>
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52 <option value="holm">holm</option>
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53 <option value="bonferroni">bonferroni</option>
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54 <option value="hochberg">hochberg</option>
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55 <option value="hommel">hommel</option>
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56 <option value="BY">BY</option>
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57 <option value="fdr">fdr</option>
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58 <option value="none" selected="True">none</option>
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59 </param>
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60
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61 <param name="threshold" type="float" label="Threshold" value="0.01" help="max adjusted p.value accepted" />
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63 <param name="selection_method" type="select" help="Intersection: all condition p-value must be under the threshold. Union: at least condition p-value must be under the threshold. ">
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64 <label>Selection method</label>
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65 <option value="intersection" selected="true">intersection / strong</option>
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66 <option value="union">union / weak</option>
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67 </param>
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69 <param name="sep" type="select" format="text">
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70 <label>Separator of columns</label>
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71 <option value="tabulation">tabulation</option>
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72 <option value="semicolon">;</option>
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73 <option value="comma">,</option>
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74 </param>
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75
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76 <param name="dec" type="text" label="Decimal separator" value="." help="" />
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78 </inputs>
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80 <outputs>
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81 <data name="varMetaPValue" format_source="varinfo" label="${varinfo.name}_anova_pvalue.${varinfo.ext}"/>
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82 <data name="dataSignif" format="pdf" label="${input.name}_anova_signif"/>
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83 </outputs>
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84
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85 <tests>
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86 <test>
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87 <param name="input" value="dataMatrix.tsv"/>
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88 <param name="sampleinfo" value="sampleMetadata.tsv"/>
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89 <param name="varinfo" value="variableMetadata.tsv"/>
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90 <param name="mode" value="row"/>
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91 <param name="condition_1" value="age"/>
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92 <param name="conditions_0|condition" value="gender"/>
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93 <param name="interaction" value="F"/>
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94 <param name="method" value="BH"/>
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95 <param name="threshold" value="0.05"/>
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96 <param name="selection_method" value="union"/>
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97 <param name="sep" value="tabulation"/>
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98 <param name="dev" value="."/>
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99 <output name="varMetaPValue" file="variableMetadata.tsv_anova_pvalue.tabular" />
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100 <output name="dataSignif" file="dataMatrix.tsv_anova_signif.pdf" compare="sim_size" delta="600" />
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101 </test>
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102 </tests>
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103
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104 <help>
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105
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106 .. class:: infomark
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107
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108 **Authors** Gildas Le Corguille ABiMS - UPMC/CNRS - Station Biologique de Roscoff - gildas.lecorguille|at|sb-roscoff.fr
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109 Melanie Petera - PFEM ; INRA ; MetaboHUB
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110
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111 ---------------------------------------------------
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112
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113 =====
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114 Anova
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115 =====
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116
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117 -----------
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118 Description
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119 -----------
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120
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121 Analysis of variance (ANOVA) is used to analyze the differences between group means and their associated procedures,
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122 in which the observed variance in a particular variable is partitioned into components attributable to different sources of variation.
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123
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124 **Note about sum of squares (SS) calculation of N-way ANOVA in this module.**
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125 This module use R function *manova()* (and thus R function *aov()*) to establish N-way ANOVA.
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126 Therefore calculated sum of squares are sequential ones (sometimes called "Type I SS").
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127 If your design is unbalanced, this may not correspond to the type of hypothesis being of interest.
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128 Note that you can obtain adjusted sums of squares ("Type II SS") by running several times this module with different orders in factors.
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129
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131 -----------
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132 Input files
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133 -----------
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134
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135 +----------------------------+------------+
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136 | Parameter : num + label | Format |
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137 +============================+============+
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138 | 1 : Data Matrix file | Tabular |
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139 +----------------------------+------------+
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140 | 2 : Sample Metadata file | Tabular |
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141 +----------------------------+------------+
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142 | 3 : Variable Metadata file | Tabular |
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143 +----------------------------+------------+
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145
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146 ------------
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147 Output files
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148 ------------
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149
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151
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152 ***.anova_pvalue.tabular**
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153
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154 | Your variable metadata file completed with columns of p-values, result of selection method and means of subgroups.
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155
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156 ***.anova_signif.pdf**
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157
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158 | A pdf file containing a Venn diagram and boxplots of significant variables.
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159
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160
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161 ------
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162
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163 .. class:: infomark
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164
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165 The outputs ***.anova_filtered.tabular** is a tabular file. You can continue your analysis using it in the following tools:
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166
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167 | Generic_filter
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168 | Hierarchical Clustering
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172 ---------------------------------------------------
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176 </help>
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178 <citations>
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179 <citation type="bibtex">@ARTICLE{fisher,
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180 author = {Ronald A. Fisher},
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181 title = {The Correlation between Relatives on the Supposition of Mendelian Inheritance},
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182 journal = {Philosophical Transactions of the Royal Society of Edinburgh},
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183 year = {1918},
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184 volume = {52},
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185 pages = {399-433}
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186 }</citation>
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187 </citations>
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188
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189 </tool>