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1 <tool id="mixmodel4repeated_measures" name="mixmodel" version="3.1.0" profile="19.01">
2 <description>ANOVA for repeated measures statistics</description>
3
4 <requirements>
5 <requirement type="package" version="1.1_27">r-lme4</requirement>
6 <requirement type="package" version="3.1_3">r-lmertest</requirement>
7 <requirement type="package" version="3.2_0">r-ggplot2</requirement>
8 <requirement type="package" version="2.3">r-gridExtra</requirement>
9 <requirement type="package" version="2.40.0">bioconductor-multtest</requirement>
10 </requirements>
11
12 <command detect_errors="exit_code"><![CDATA[
13 Rscript '$__tool_directory__/mixmodel_wrapper.R'
14
15 dataMatrix_in '$dataMatrix_in'
16 sampleMetadata_in '$sampleMetadata_in'
17 variableMetadata_in '$variableMetadata_in'
18
19 fixfact '$fixfact'
20 time '$time'
21 subject '$subject'
22 adjC '$adjC'
23 trf '$trf'
24 thrN '$thrN'
25 diaR '$diaR'
26 dff '$dff'
27 rounding '${roundchoice.rounding}'
28 #if $roundchoice.rounding == 'yes' :
29 decplaces '${roundchoice.decplaces}'
30 #end if
31
32 variableMetadata_out '$variableMetadata_out'
33 out_graph_pdf '$out_graph_pdf'
34 out_estim_pdf '$out_estim_pdf'
35 information '$information'
36
37 ]]></command>
38
39 <inputs>
40 <param name="dataMatrix_in" label="Data matrix file" type="data" format="tabular" help="variable x sample, decimal: '.', missing: NA, mode: numerical, sep: tabular" />
41 <param name="sampleMetadata_in" label="Sample metadata file" type="data" format="tabular" help="sample x metadata, decimal: '.', missing: NA, mode: character and numerical, sep: tabular" />
42 <param name="variableMetadata_in" label="Variable metadata file" type="data" format="tabular" help="variable x metadata, decimal: '.', missing: NA, mode: character and numerical, sep: tabular" />
43 <param name="fixfact" label="Fixed Factor of interest" type="text" help="Name of sample metadata column corresponding to the fixed factor (use none if only time factor"/>
44 <param name="time" label="Repeated factor (time)" type="text" help="Name of the column of the sample metadata table corresponding to the repeated factor"/>
45 <param name="subject" label="Subject factor" type="text" help="Name of the column of the sample metadata table corresponding to the subject factor"/>
46 <param name="dff" label="Degrees of freedom method for the F-tests" type="select" help="">
47 <option value="Satt">Satterthwaite</option>
48 <option value="KenR">Kenward-Roger</option>
49 </param>
50 <param name="adjC" label="Method for multiple testing correction" type="select" help="">
51 <option value="fdr">fdr</option>
52 <option value="BH">BH</option>
53 <option value="bonferroni">bonferroni</option>
54 <option value="BY">BY</option>
55 <option value="hochberg">hochberg</option>
56 <option value="holm">holm</option>
57 <option value="hommel">hommel</option>
58 <option value="none">none</option>
59 </param>
60 <param name="trf" label="Log transform of raw data" type="select" help="Transformation of raw data">
61 <option value="none">none</option>
62 <option value="log10">log10</option>
63 <option value="log2">log2</option>
64 </param>
65 <param name="thrN" type="float" value="0.05" label="(Corrected) p-value significance threshold" help="Must be between 0 and 1"/>
66 <param name="diaR" label="Perform diagnostic of the residuals" type="select" help=" Used to assess the quality of models considering distribution of residuals ">
67 <option value="yes">yes</option>
68 <option value="no">no</option>
69 </param>
70 <conditional name="roundchoice">
71 <param name="rounding" type="select" label="Rounding the result's numerical columns" help="Should the numerical values generated by this tool be rounded to a chosen number of decimal places?">
72 <option value="no">No</option>
73 <option value="yes">Yes</option>
74 </param>
75 <when value="yes">
76 <param argument="decplaces" type="integer" value="6" label="Number of decimal places for rounding" help="Positive interger" />
77 </when>
78 <when value="no">
79 </when>
80 </conditional>
81 </inputs>
82
83 <outputs>
84 <data name="variableMetadata_out" label="${tool.name}_${variableMetadata_in.name}" format="tabular"/>
85 <data name="information" label="${tool.name}_information.txt" format="txt"/>
86 <data name="out_estim_pdf" label="${tool.name}_Estimates" format="pdf"/>
87 <data name="out_graph_pdf" label="${tool.name}_diagResiduals" format="pdf">
88 <filter>diaR == 'yes'</filter>
89 </data>
90 </outputs>
91
92 <tests>
93 <test expect_num_outputs="4">
94 <param name="dataMatrix_in" value="TwoFactor_dataMatrix.txt" />
95 <param name="sampleMetadata_in" value="TwoFactor_sampleMetadata.txt" />
96 <param name="variableMetadata_in" value="TwoFactor_variableMetadata.txt" />
97 <param name="fixfact" value="phenotype" />
98 <param name="time" value="time" />
99 <param name="subject" value="sujet" />
100 <param name="adjC" value = "none"/>
101 <param name="trf" value = "log10"/>
102 <param name="thrN" value = "0.01"/>
103 <param name="dff" value = "Satt"/>
104 <param name="rounding" value = "yes"/>
105 <param name="decplaces" value = "6"/>
106 <output name="variableMetadata_out" value="mixmodel_TwoFactor_variableMetadata.txt" />
107 </test>
108 </tests>
109
110 <help><![CDATA[
111 .. class:: infomark
112
113 **Tool update: See the 'NEWS' section at the bottom of the page**
114
115 .. class:: infomark
116
117 **Authors** Natacha Lenuzza and Jean-Francois Martin wrote this wrapper of R repeated measure anova statistical tests.
118 **Maintainers** Melanie Petera and Marie Tremblay-Franco (INRAE-MetaboHUB)
119
120 MetaboHUB: The French National Infrastructure for Metabolomics and Fluxomics (https://www.metabohub.fr/home.html)
121
122 .. class:: infomark
123
124 **Please cite**
125
126 R Core Team (2013). R: A language and Environment for Statistical Computing. http://www.r-project.org
127
128 .. class:: infomark
129
130 **References**
131 Kuznetsova A. Brockhoff PB. and Christensen RHB (2017). lmerTest Package: Tests in Linear Mixed Effects Models. Journal of Statistical Software, 82(13), pp. 1–26. doi: 10.18637/jss.v082.i13.
132 Benjamini Y. and Hochberg Y. (1995). Controlling the false discovery rate: a practical and powerful approach for multiple testing. Journal of the Royal Statistical Society. Series B (Methodological), 57:289-300.
133
134
135 =============
136 Mixed models
137 =============
138
139 -----------
140 Description
141 -----------
142
143 The module performs analysis of variance for repeated measures using mixed model
144
145
146 -----------
147 Input files
148 -----------
149
150 +---------------------------+------------+
151 | File | Format |
152 +===========================+============+
153 | 1 : Data matrix | tabular |
154 +---------------------------+------------+
155 | 2 : Sample metadatx | tabular |
156 +---------------------------+------------+
157 | 3 : Variable metadata | tabular |
158 +---------------------------+------------+
159
160
161 ----------
162 Parameters
163 ----------
164
165 Data matrix file
166 | variable x sample **dataMatrix** tabular separated file of the numeric data matrix, with . as decimal, and NA for missing values; the table must not contain metadata apart from row and column names; the row and column names must be identical to the rownames of the sample and variable metadata, respectively (see below)
167 |
168
169 Sample metadata file
170 | sample x metadata **sampleMetadata** tabular separated file of the numeric and/or character sample metadata, with . as decimal and NA for missing values
171 |
172
173 Variable metadata file
174 | variable x metadata **variableMetadata** tabular separated file of the numeric and/or character variable metadata, with . as decimal and NA for missing values
175 |
176
177
178 Treatment
179 | Name of the fixed factor in the sample metadata file. Use "none" if you have only a time factor
180 |
181
182 Time
183 | Name of the repeated (time) factor in the sample metadata file
184 |
185
186 Subject
187 | Name of the subject (on which the repeated measurement id done) in the sample metadata file
188 |
189
190 Degrees of freedom
191 | Method to use for degrees of freedom computation
192 |
193
194 Method for multiple testing correction
195 | The 7 methods implemented in the 'p.adjust' R function are available and documented as follows:
196 | "The adjustment methods include the Bonferroni correction ("bonferroni") in which the p-values are multiplied by the number of comparisons. Less conservative corrections are also included by Holm (1979) ("holm"), Hochberg (1988) ("hochberg"), Hommel (1988) ("hommel"), Benjamini and Hochberg (1995) ("BH" or its alias "fdr"), and Benjamini and Yekutieli (2001) ("BY"), respectively. A pass-through option ("none") is also included. The set of methods are contained in the p.adjust.methods vector for the benefit of methods that need to have the method as an option and pass it on to p.adjust. The first four methods are designed to give strong control of the family-wise error rate. There seems no reason to use the unmodified Bonferroni correction because it is dominated by Holm's method, which is also valid under arbitrary assumptions. Hochberg's and Hommel's methods are valid when the hypothesis tests are independent or when they are non-negatively associated (Sarkar, 1998; Sarkar and Chang, 1997). Hommel's method is more powerful than Hochberg's, but the difference is usually small and the Hochberg p-values are faster to compute. The "BH" (aka "fdr") and "BY" method of Benjamini, Hochberg, and Yekutieli control the false discovery rate, the expected proportion of false discoveries amongst the rejected hypotheses. The false discovery rate is a less stringent condition than the family-wise error rate, so these methods are more powerful than the others."
197
198
199 (Corrected) p-value significance threshold
200 |
201 |
202
203 Rounding the result's numerical columns
204 | This parameter enables the choice of a given number of decimal places to be used to display results' values in the output columns of the variableMetadata that are generated by the tool.
205 | If set to "Yes", you can indicate the number of decimal places wanted, and all the results' values will be rounded according to this number.
206 |
207
208 ------------
209 Output files
210 ------------
211
212 variableMetadata_out.tabular
213 | **variableMetadata** file identical to the file given as argument plus
214 | pvalue of Shapiro normality test of the residuals
215 | pvalues of the main effects and interaction
216 | PostHoc test with difference between levels and pvalues of these difference
217 |
218
219 mixedmodel_Estimates
220 | A pdf file is created with a graphical representation of differences among levels of factors with a color code for significance and an error bar.
221 | Plots are only provided for features with at least one significant factor.
222
223
224 mixedmodel_diagResiduals
225 | if Perform diagnostic of the residuals" is set to yes(default) a pdf file is created with a a serie of
226 | graphics outputed in order to assess the distribution of residuals to check the adjustment.
227 | Plots are only provided for features with at least one factor being significant based on the non-corrected p-values.
228
229 information.txt
230 | File with all messages and warnings generated during the computation
231 | The list of variables with name and a tag if it is significant for at least fixed or repeated factor.
232
233
234
235 ---------------------------------------------------
236
237 Changelog/News
238 --------------
239
240 **Version 3.1.0 - April 2022**
241
242 - NEW FEATURE: the tool now can be used without fixed factor by specify "none" in the concerned parameter field.
243
244 - NEW FEATURE: addition of the possibility to choose the degrees of freedom computation method (previously using only the Satterthwaite method).
245
246 - NEW FEATURE: addition of the possibility to choose the number of decimal places in the variable-metadata numerical columns' output.
247
248
249 ]]></help>
250
251 <citations>
252 <citation type="doi">10.18637/jss.v082.i13.</citation>
253 <citation type="bibtex">@ARTICLE{fisher,
254 author = {Benjamini Y. and Hochberg Y.,
255 title = {Controlling the false discovery rate: a practical and powerful approach for multiple testing. Journal of the Royal Statistical Society},
256 journal = {Series B (Methodological)},
257 year = {1995},
258 volume = {57},
259 pages = {289-300}
260 }</citation>
261 <citation type="doi">10.1093/bioinformatics/btu813</citation>
262 </citations>
263
264 </tool>