diff mixomics_plotvar.xml @ 4:b0ab97ffc2a1 draft

planemo upload for repository https://github.com/bilille/galaxy-mixomics-blocksplsda commit 0bf5c0745f406f2eca9c708a062c975b1f7ea386
author ppericard
date Mon, 09 Mar 2020 11:53:32 -0400
parents 655d1fbcd3e6
children
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--- a/mixomics_plotvar.xml	Fri Oct 25 07:10:59 2019 -0400
+++ b/mixomics_plotvar.xml	Mon Mar 09 11:53:32 2020 -0400
@@ -1,12 +1,12 @@
-<tool id="mixomics_plotvar" name="mixOmics plotVar" version="0.2.0" profile="16.04" workflow_compatible="true">
+<tool id="mixomics_plotvar" name="mixOmics plotVar" version="0.3.0" profile="16.04" workflow_compatible="true">
 
     <description>provides variables representation for (regularized) CCA, (sparse) PLS regression, PCA and (sparse) Regularized generalised CCA</description>
-    
+
     <requirements>
         <requirement type="package" version="6.8">bioconductor-mixomics</requirement>
         <requirement type="package" version="2.0">r-argparse</requirement>
     </requirements>
-    
+
     <stdio>
         <!-- <exit_code range="1:" level="fatal" /> -->
     </stdio>
@@ -23,10 +23,15 @@
     </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)"/>
+        <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" />
+            <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>