view PCA_plot.xml @ 9:2e8c9032e8d8 draft

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<tool id="PCA_plot" name="PCA_plot">
  <description>Plottool for Principal Component </description>
  <command interpreter="Rscript">PCA_plot.R $input "$title" "$x_label" "$y_label" $x_column $y_column $names $output</command>
  <inputs>
    <param name="input" type="data" format="csv" label="PCA coordinates" />
    <param name = "title" size = "30" type = "text" value = "" label = "Main Title"/>
    <param name = "x_label" size = "30" type = "text" value = "" label = "x axis label"/>
    <param name = "y_label" size = "30" type = "text" value = "" label = "y axis label"/>
    <param name = "x_column" size = "2" type = "integer" value = "1" label = "pca x axis"/>
    <param name = "y_column" size = "2" type = "integer" value = "2" label = "pca y axis"/>
    <param name = "names" type = "data" format = "csv" label = "data names"/>
  </inputs>
  <outputs>
    <data format="png" name="output" />
  </outputs>

  
  <help>
**Function**

Plottool for plotting of Principal Components

**Input file**

Principal Components coordinates (csv format)

sample names (csv format)

**Tip**

Use **PCA** to generate Principal Components

Use the sample names of **DtaConverter** or create your own 'sample name file' in .csv format
  </help>

</tool>