Mercurial > repos > bgruening > upload_testing
view scatterplot.xml @ 93:7ae2e4b1ff1f draft
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author | bernhardlutz |
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date | Sun, 26 Jan 2014 08:35:17 -0500 |
parents | b061185bcb83 |
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<tool id="scatterplot_rpy" name="Scatterplot" version="1.1.0"> <description>of two numeric columns</description> <expand macro="requirements" /> <macros> <import>statistic_tools_macros.xml</import> </macros> <command interpreter="python">scatterplot.py $input $out_file1 $col1 $col2 "$title" "$xlab" "$ylab"</command> <inputs> <param name="input" type="data" format="tabular" label="Dataset" help="Dataset missing? See TIP below"/> <param name="col1" type="data_column" data_ref="input" numerical="True" label="Numerical column for x axis" /> <param name="col2" type="data_column" data_ref="input" numerical="True" label="Numerical column for y axis" /> <param name="title" size="30" type="text" value="Scatterplot" label="Plot title"/> <param name="xlab" size="30" type="text" value="V1" label="Label for x axis"/> <param name="ylab" size="30" type="text" value="V2" label="Label for y axis"/> </inputs> <outputs> <data format="pdf" name="out_file1" /> </outputs> <tests> <test> <param name="input" value="scatterplot_in1.tabular" ftype="tabular"/> <param name="col1" value="2"/> <param name="col2" value="3"/> <param name="title" value="Scatterplot"/> <param name="xlab" value="V1"/> <param name="ylab" value="V2"/> <output name="out_file1" file="scatterplot_out1.pdf" /> </test> </tests> <help> .. class:: infomark **TIP:** If your data is not TAB delimited, use *Text Manipulation->Convert* ----- **Syntax** This tool creates a simple scatter plot between two variables containing numeric values of a selected dataset. - All invalid, blank and comment lines in the dataset are skipped. The number of skipped lines is displayed in the resulting history item. - **Plot title** The scatterplot title - **Label for x axis** and **Label for y axis** The labels for x and y axis of the scatterplot. ----- **Example** - Input file:: 1 68 4.1 2 71 4.6 3 62 3.8 4 75 4.4 5 58 3.2 6 60 3.1 7 67 3.8 8 68 4.1 9 71 4.3 10 69 3.7 - Create a simple scatterplot between the variables in column 2 and column 3 of the above dataset. .. image:: $PATH_TO_IMAGES/images/scatterplot.png </help> </tool>