<tool id="plotwithscale" name="IWTomics Plot with Threshold" version="@VERSION@.0">
  <description>on Test Scale</description>
  <macros>
    <import>macros.xml</import>
  </macros>
  <expand macro="requirements" />
  <stdio>
    <exit_code range="-1" source="both" level="fatal" description="Missing IWTomics package. Please be sure to have it installed before using this tool." />
    <exit_code range="10" source="both" level="fatal" description="Wrong test ids." />
    <exit_code range="20" source="both" level="fatal" description="Wrong feature ids." />
    <exit_code range="30" source="both" level="fatal" description="Two scale thresholds selected for the same test and feature." />
    <exit_code range="40" source="both" level="fatal" description="Scale threshold too high." />
    <exit_code range="50" source="both" level="fatal" description="Group by 'test' but selected features with different resolution." />
    <exit_code range="60" source="both" level="fatal" description="Summary plot error. Please try again." />
    <regex match="Error" source="both" level="fatal" description="An error has occurred. Please try again." />
  </stdio>

  <command>
<![CDATA[
    Rscript $__tool_directory__/plotwithscale.R adjustedpvalue="${adjustedpvalue}" iwtomicsrespdf="${iwtomicsrespdf}" iwtomicssumpdf="${iwtomicssumpdf}"
      iwtomicsrdata="${rdata}"
      iwtomicstests="${testids}"
      iwtomicsselectedfeatures="${featureids}"

      #set test_subset = '"\\|"'.join( [ str( $e.test ) for $e in $scalesection.thresholdontestscale ] )
      test_subset="${test_subset}"
      #set feature_subset = '"\\|"'.join( [ str( $e.feature ) for $e in $scalesection.thresholdontestscale ] )
      feature_subset="${feature_subset}"
      #set scale_subset = '","'.join( [ str( $e.scale ) for $e in $scalesection.thresholdontestscale ] )
      scale_subset="c(${scale_subset})"

      testalpha="${plotres.alpha}"
      average="${plotres.average}"
      size="${plotres.size}"
      plottype="'${plotres.conditionalplottype.plottype}'"
      #if $plotres.conditionalplottype.plottype == 'boxplot':
        #set probs = '","'.join( [ str( $p.prob ) for $p in $plotres.conditionalplottype.probabilitiessection.probabilities ] )
        #if $probs != "":
          probs="c(${plotres.conditionalplottype.probabilitiessection.prob0},${plotres.conditionalplottype.probabilitiessection.prob1},${plotres.conditionalplottype.probabilitiessection.prob2},${probs})"
        #else:
          probs="c(${plotres.conditionalplottype.probabilitiessection.prob0},${plotres.conditionalplottype.probabilitiessection.prob1},${plotres.conditionalplottype.probabilitiessection.prob2})"
        #end if
      #end if

      groupby="'${plotsum.conditionalgroupby.groupby}'"
      #if $plotsum.conditionalgroupby.groupby == "test":
        summaryalpha="${plotsum.conditionalgroupby.testalphaplot}"
        only_significant="${plotsum.conditionalgroupby.testonlysig}"
      #elif $plotsum.conditionalgroupby.groupby == "feature":
        summaryalpha="${plotsum.conditionalgroupby.featurealphaplot}"
        only_significant="${plotsum.conditionalgroupby.featureonlysig}"
      #end if

      >& /dev/null
]]>
    <!--
    to print the stack add the following line at the end of the command and enable the corresponding entry in output
    2> "${stackerr}"
    -->
  </command>

  <inputs>
    <help>
    ...
    </help>

    <!-- RData -->
    <param format="rdata" name="rdata" type="data" label="Select IWTomicsData object with test results" help="File created by 'IWTomics Test and Plot'." />
    <!-- test IDs -->
    <param format="tabular" name="testids" type="data" label="Select test IDs" help="File created by 'IWTomics Test and Plot'." />
    <!-- feature IDs -->
    <param format="tabular" name="featureids" type="data" label="Select feature IDs" help="File created by 'IWTomics Test and Plot'." />

    <!-- repeat threshold on test scale -->
    <section name="scalesection" title="Select scale for Interval-Wise Testing and plot" expanded="True" help="Maximum interval length for the p-value adjustment. If 0 the maximum possible scale is used.">
      <repeat name="thresholdontestscale" title="Threshold on test scale" min="1">
        <param name="test" type="data_column" data_ref="testids" numerical="False" label="Test ID" multiple="True" use_header_names="True" />
        <param name="feature" type="data_column" data_ref="featureids" numerical="False" label="Feature ID" multiple="True" use_header_names="True" />
        <param name="scale" type="integer" value="0" min="0" label="Scale" />
      </repeat>
    </section>

    <!-- plot IWTomics results -->
    <section name="plotres" title="Plot IWTomics test results" expanded="True">
      <!-- alpha -->
      <param name="alpha" size="3" type="float" value="0.05" min="0.0" max="1.0" label="Level of the test (alpha)" />
      <!-- average -->
      <param name="average" type="boolean" truevalue="TRUE" falsevalue="FALSE" checked="True" label="Plot the mean curves" />
      <!-- average -->
      <param name="size" type="boolean" truevalue="TRUE" falsevalue="FALSE" checked="True" label="Plot sample size in each position" />
      <!-- conditional plot type -->
      <conditional name="conditionalplottype">
        <!-- plot type -->
        <param name="plottype" type="select" label="Plot type">
          <option value="boxplot">Pointwise quantile curves (boxplot)</option>
          <option value="curves">Curves (aligned)</option>
        </param>
        <!-- conditional choice: plottype=boxplot -->
        <when value="boxplot">
          <section name="probabilitiessection" title="Probabilities" expanded="True" help="Probabilities corresponding to the quantile curves to be drawn.">
            <param name="prob0" size="3" type="float" value="0.25" min="0.0" max="1.0" label="Probability" />
            <param name="prob1" size="3" type="float" value="0.5" min="0.0" max="1.0" label="Probability" />
            <param name="prob2" size="3" type="float" value="0.75" min="0.0" max="1.0" label="Probability" />
            <repeat name="probabilities" title="Probabilities">
              <param name="prob" size="3" type="float" value="0.5" min="0.0" max="1.0" label="Probability" />
            </repeat>
          </section>
        </when>
      </conditional>
    </section>

    <!-- summary plot -->
    <section name="plotsum" title="Summary plot" expanded="True">
      <!-- conditional group by -->
      <conditional name="conditionalgroupby">
        <!-- group by -->
        <param name="groupby" type="select" label="Group by" help="How tests should be grouped.">
          <option value="none">No plot</option>
          <option value="test">Group by test</option>
          <option value="feature">Group by feature</option>
        </param>
        <when value="test">
          <param name="testalphaplot" size="3" type="float" value="0.05" min="0.0" max="1.0" label="Level of the test (alpha)" />
          <param name="testonlysig" type="boolean" truevalue="TRUE" falsevalue="FALSE" label="Plot only significant tests" />
        </when>
        <when value="feature">
          <param name="featurealphaplot" size="3" type="float" value="0.05" min="0.0" max="1.0" label="Level of the test (alpha)" />
          <param name="featureonlysig" type="boolean" truevalue="TRUE" falsevalue="FALSE" label="Plot only significant tests" />
        </when>
      </conditional>
    </section>
  </inputs>

  <outputs>
    <!--<data format="txt" name="stackerr" label="iwtomics.testandplot.stackerr.txt" from_work_dir="iwtomics.testandplot.stackerr.txt" />-->
    <data format="txt" name="adjustedpvalue" label="${tool.name} on ${on_string}: Adjusted p-value" from_work_dir="iwtomics.testandplot.adjustedpvalue.txt" />
    <data format="pdf" name="iwtomicsrespdf" label="${tool.name} on ${on_string}: Plotted Test Results" from_work_dir="iwtomics.testandplot.iwtomicstestresults.pdf" />
    <data format="pdf" name="iwtomicssumpdf" label="${tool.name} on ${on_string}: Summary Plot" from_work_dir="iwtomics.testandplot.summaryplot.pdf" />
  </outputs>

  <help>
This tool allows to select the scale for the Interval-Wise Testing results. In particular, it returns the p-value curves
for the different tests performed at the selected scale, and it creates a graphical representation of the
Interval-Wise Testing results and a summary plot (optional) at the selected scale.

-----

**Input files**

RData file with the IWTomicsData object with test results, tabular files with test IDs and feature IDs.
These files are created by the tool *IWTomics Test and Plot*.

-----

**Output**

The tool returns:

1. TXT file with an adjusted p-value curve for every test performed at the selected scale;
2. PDF file with the plotted test results;
3. PDF file with the summary plot.

-----

.. class:: infomark

**Notes**

This Galaxy tool has been developed by Fabio Cumbo (Third University of Rome, Italy) and Marzia A. Cremona (The Pennsylvania State University, USA).

It implements a simplified version of the function *IWTomicsTest*, *plotTest* and *plotSummary* for *IWTomicsData* objects.
The complete version can be found in the *R/Bioconductor* package *IWTomics* (see vignette_).

.. _vignette: https://bioconductor.org/packages/release/bioc/vignettes/IWTomics/inst/doc/IWTomics.pdf
  </help>

  <citations>
    <citation type="bibtex">
      @ARTICLE{
               iwt-functional-data,
               author = {A Pini and S. Vantini},
               title = {Interval-Wise Testing for functional data},
               journal = {Journal of Nonparametric Statistics},
               year = {2017},
               volume = {29},
               number = {2},
               pages = {407-424}
      }
    </citation>
    <citation type="bibtex">
      @MANUAL{
               iwtomics,
               author = {Cremona, Marzia A and Pini, Alessia and Chiaromonte, Francesca and Vantini, Simone},
               title = {IWTomics: Interval-Wise Testing for Omics Data},
               note = {R package version 0.99.12},
               year = {2017}
      }
    </citation>
  </citations>

</tool>