Mercurial > repos > ppericard > viscorvar
view mixomics_plotvar.xml @ 2:c8533e9298e5 draft
"planemo upload for repository https://gitlab.com/bilille/galaxy-viscorvar commit 8cb5630238352459037b3647eebfabb5554566f6-dirty"
author | ppericard |
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date | Fri, 23 Oct 2020 10:15:56 +0000 |
parents | e93350dc99f1 |
children | d4e9f7546dfa |
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<tool id="mixomics_plotvar" name="mixOmics plotVar" version="@TOOL_VERSION@+galaxy1" profile="16.04" workflow_compatible="true"> <description>provides variables representation for (regularized) CCA, (sparse) PLS regression, PCA and (sparse) Regularized generalised CCA</description> <macros> <import>macros.xml</import> <import>macros_mixomics.xml</import> </macros> <expand macro="requirements"/> <expand macro="stdio"/> <command detect_errors="aggressive"><![CDATA[ @COMMAND_RSCRIPT@/mixomics_plotvar.R --input_rdata $input_rdata $adv.legend --cutoff $adv.cutoff --output_pdf $output_pdf @COMMAND_LOG_EXIT@ ]]></command> <inputs> <param name="input_rdata" type="data" format="rdata" label="Input RData file from (sparse)(I)PCA, (regularized)CCA, (sparse)PLS(DA) or (sparse)(R)GCCA(DA)" help="This is the RData output file from the block.splsda function." /> <section name="adv" title="Advanced Options" expanded="false"> <param name="legend" type="boolean" checked="true" truevalue="--legend" falsevalue="" label="Plot legend" /> <param name="cutoff" type="float" value="0" min="0" max="1" label="Cut-off" help="Only selected variables whose correlation with the first or second axis is greater than Cut-off in absolute value will be plotted." /> </section> </inputs> <outputs> <data name="output_pdf" format="pdf" label="plotVar.pdf" /> </outputs> <tests> <test> <param name="input_rdata" value="out_rdata.rdata" /> <output name="output_pdf" value="out_plotVar.pdf" /> </test> </tests> <help><![CDATA[ @HELP_AUTHORS@ ================ mixOmics plotVar ================ ----------- Description ----------- The plotVar function is part of the mixOmics package for exploration and integration of Omics datasets. Provides variables representation for (regularized) CCA, (sparse) PLS regression, PCA and (sparse) Regularized generalised CCA. ----------------- Workflow position ----------------- **Upstream tools** ======================= =================================== ======== Name Output file Format ======================= =================================== ======== mixOmics.block.splsda mixomics_blocksplsda_output.RData rdata ======================= =================================== ======== --------------------------------------------------- ----------- Input files ----------- +-------------------------------+------------+ | Parameter : num + label | Format | +===============================+============+ | 1 : Rdata block.splsda output | Rdata | +-------------------------------+------------+ ---------- Parameters ---------- Advanced options: ================= Plot legend Cut-off @HELP_MANUAL@ ------------ Output files ------------ plotVar.pdf A pdf file with scatter plots for variables ]]></help> <expand macro="citations" /> </tool>