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1 <tool id="scatterplot_rpy" name="Scatterplot" version="1.1.0">
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2 <description>of two numeric columns</description>
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3 <expand macro="requirements" />
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4 <macros>
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5 <import>statistic_tools_macros.xml</import>
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6 </macros>
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7 <command interpreter="python">scatterplot.py $input $out_file1 $col1 $col2 "$title" "$xlab" "$ylab"</command>
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8 <inputs>
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9 <param name="input" type="data" format="tabular" label="Dataset" help="Dataset missing? See TIP below"/>
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10 <param name="col1" type="data_column" data_ref="input" numerical="True" label="Numerical column for x axis" />
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11 <param name="col2" type="data_column" data_ref="input" numerical="True" label="Numerical column for y axis" />
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12 <param name="title" size="30" type="text" value="Scatterplot" label="Plot title"/>
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13 <param name="xlab" size="30" type="text" value="V1" label="Label for x axis"/>
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14 <param name="ylab" size="30" type="text" value="V2" label="Label for y axis"/>
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15 </inputs>
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16 <outputs>
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17 <data format="pdf" name="out_file1" />
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18 </outputs>
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19
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20 <tests>
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21 <test>
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22 <param name="input" value="scatterplot_in1.tabular" ftype="tabular"/>
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23 <param name="col1" value="2"/>
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24 <param name="col2" value="3"/>
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25 <param name="title" value="Scatterplot"/>
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26 <param name="xlab" value="V1"/>
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27 <param name="ylab" value="V2"/>
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28 <output name="out_file1" file="scatterplot_out1.pdf" />
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29 </test>
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30 </tests>
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31 <help>
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32
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33 .. class:: infomark
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34
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35 **TIP:** If your data is not TAB delimited, use *Text Manipulation->Convert*
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36
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37 -----
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38
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39 **Syntax**
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40
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41 This tool creates a simple scatter plot between two variables containing numeric values of a selected dataset.
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42
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43 - All invalid, blank and comment lines in the dataset are skipped. The number of skipped lines is displayed in the resulting history item.
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44
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45 - **Plot title** The scatterplot title
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46 - **Label for x axis** and **Label for y axis** The labels for x and y axis of the scatterplot.
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47
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48 -----
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49
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50 **Example**
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51
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52 - Input file::
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53
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54 1 68 4.1
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55 2 71 4.6
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56 3 62 3.8
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57 4 75 4.4
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58 5 58 3.2
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59 6 60 3.1
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60 7 67 3.8
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61 8 68 4.1
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62 9 71 4.3
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63 10 69 3.7
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64
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65 - Create a simple scatterplot between the variables in column 2 and column 3 of the above dataset.
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66
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67 .. image:: $PATH_TO_IMAGES/images/scatterplot.png
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68
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69 </help>
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70 </tool>
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