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72 lines
2.4 KiB
XML
72 lines
2.4 KiB
XML
<tool id="scatterplot_rpy" name="Scatterplot">
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<description>of two numeric columns</description>
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<command interpreter="python">scatterplot.py $input $out_file1 $col1 $col2 "$title" "$xlab" "$ylab"</command>
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<inputs>
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<param name="input" type="data" format="tabular" label="Dataset" help="Query missing? See TIP below"/>
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<param name="col1" type="data_column" data_ref="input" numerical="True" label="Numerical column for x axis" />
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<param name="col2" type="data_column" data_ref="input" numerical="True" label="Numerical column for y axis" />
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<param name="title" size="30" type="text" value="Scatterplot" label="Plot title"/>
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<param name="xlab" size="30" type="text" value="V1" label="Label for x axis"/>
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<param name="ylab" size="30" type="text" value="V2" label="Label for y axis"/>
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</inputs>
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<outputs>
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<data format="pdf" name="out_file1" />
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</outputs>
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<requirements>
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<requirement type="python-module">rpy</requirement>
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</requirements>
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<!-- TODO: uncomment the following test when we have tools.update_state() working for
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multiple dependents with the same dependency.
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<tests>
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<test>
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<param name="input" value="scatterplot_in1.tabular" ftype="tabular"/>
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<param name="col1" value="2"/>
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<param name="col2" value="3"/>
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<param name="title" value="Scatterplot"/>
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<param name="xlab" value="V1"/>
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<param name="ylab" value="V2"/>
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<output name="out_file1" file="scatterplot_out1.pdf" />
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</test>
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</tests>
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-->
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<help>
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.. class:: infomark
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**TIP:** If your data is not TAB delimited, use *Text Manipulation->Convert*
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-----
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**Syntax**
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This tool creates a simple scatter plot between two variables containing numeric values of a selected query.
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- All invalid, blank and comment lines in the query are skipped. The number of skipped lines is displayed in the resulting history item.
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- **Plot title** The scatterplot title
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- **Label for x axis** and **Label for y axis** The labels for x and y axis of the scatterplot.
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-----
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**Example**
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- Input file::
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1 68 4.1
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2 71 4.6
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3 62 3.8
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4 75 4.4
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5 58 3.2
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6 60 3.1
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7 67 3.8
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8 68 4.1
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9 71 4.3
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10 69 3.7
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- Create a simple scatterplot between the variables in column 2 and column 3 of the above dataset.
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.. image:: ../static/images/scatterplot.png
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</help>
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</tool>
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