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1 <tool id='row_means' name='Row Means' version="0.1">
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2 <description>Calculates the mean of a row of numbers for an entire table</description>
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3 <version_command><![CDATA[
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4 python '${__tool_directory__}/means_by_row.py --version'
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5 ]]></version_command>
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6 <command detect_errors="exit_code"><![CDATA[
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7 python '${__tool_directory__}/means_by_row.py'
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8 --infile '$input_table'
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9 --outfile '$outfile'
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10 --skip $skip_rows
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11 ]]>
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12 </command>
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13 <inputs>
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14 <param format="tabular" name="input_table" type="data" label="Input Table" help="Input tab delimited numeric table for which row means will be calculated"/>
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15 <param type="integer" name="skip_rows" value="0" label="Number of header rows to skip" help="Skip this number of header rows in case they are header labels etc." />
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16 </inputs>
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17 <outputs>
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18 <data format="tabular" name="outfile"/>
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19 </outputs>
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20 <tests>
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21 <test>
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22 <param name='input_table' value='input.txt' />
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23 <output name='outfile' file='output.txt' />
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24 </test>
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25 <test>
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26 <param name='input_table' value='input.txt' />
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27 <param name='skip_rows' value="3" />
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28 <output name='outfile' file='skip_out.txt' />
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29 </test>
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30 </tests>
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31 <help><![CDATA[
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32 This tool outputs a list with the mean values of the rows of a numeric input table.
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33
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34 It takes a tabular input of numeric data and can skip header rows if required.
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35
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36 Non-numeric data or blanks are skipped and not included in mean calculations.
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37 ]]>
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38 </help>
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39 <citations>
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40 <citation type="bibtex">
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41 @UNPUBLISHED{Gladman2018,
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42 author = {Simon Gladman and Mike Thang},
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43 title = {Row Mean: Calculates the mean of a row of numbers for an entire table},
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44 year = {2018},
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45 url = {https://github.com/gvlproject/galaxy-tools},
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46 }
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47 </citation>
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48 </citations>
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49 </tool>
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