view row_means.xml @ 0:33493e25c51c draft default tip

Row means initial upload

<tool id='row_means' name='Row Means' version="0.1">
    <description>Calculates the mean of a row of numbers for an entire table</description>
    <version_command><![CDATA[
        python '${__tool_directory__}/means_by_row.py --version'
    ]]></version_command>
    <command detect_errors="exit_code"><![CDATA[
        python '${__tool_directory__}/means_by_row.py'
            --infile '$input_table'
            --outfile '$outfile'
            --skip $skip_rows
        ]]>
    </command>
    <inputs>
        <param format="tabular" name="input_table" type="data" label="Input Table" help="Input tab delimited numeric table for which row means will be calculated"/>
        <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." />
	</inputs>
	<outputs>
        <data format="tabular" name="outfile"/>
    </outputs>
    <tests>
        <test>
            <param name='input_table' value='input.txt' />
            <output name='outfile' file='output.txt' />
        </test>
        <test>
            <param name='input_table' value='input.txt' />
            <param name='skip_rows' value="3" />
            <output name='outfile' file='skip_out.txt' />
        </test>
    </tests>
    <help><![CDATA[
This tool outputs a list with the mean values of the rows of a numeric input table.

It takes a tabular input of numeric data and can skip header rows if required.

Non-numeric data or blanks are skipped and not included in mean calculations.
    ]]>
    </help>
    <citations>
        <citation type="bibtex">
@UNPUBLISHED{Gladman2018,
    author = {Simon Gladman and Mike Thang},
    title = {Row Mean: Calculates the mean of a row of numbers for an entire table},
    year = {2018},
    url = {https://github.com/gvlproject/galaxy-tools},
}
        </citation>
    </citations>
</tool>