comparison ttest_perm.xml @ 2:caba07f41453 draft default tip

"planemo upload for repository https://github.com/secimTools/SECIMTools/tree/main/galaxy commit 498abad641099412df56f04ff6e144e4193bbc34-dirty"

1:2e7d47c0b027

--group $group
--reps $reps
--summaries $summaries
--flags $flags
--volcano $volcano
    </command>
    <inputs>
        <param name="input" type="data" format="tabular" label="Wide Dataset" help="Input dataset in wide format and tab separated. If file is not tab separated see TIP below."/>
        <param name="design" type="data" format="tabular" label="Design File" help="Design file tab separated. Note you need a 'sampleID' column. If not tab separated see TIP below."/>
        <param name="uniqueID" type="text" size="30" value="" label="Unique Feature ID"  help="Name of the column in your Wide Dataset that has unique Feature IDs."/>
        <param name="group" type="text" size="30"             label="Group/Treatment"    help="Name of the column in your Design File that contains group classifications."/>
        <param name="reps"  type="text" size="30"    value="" label ="Iteration Number." help="Enter the number of iterations you want to carry out."/>
    </inputs>
    <outputs>
        <data format="tabular" name="summaries" label="${tool.name} on ${on_string}: Summaries that include p-values and mean differences."/>
        <data format="tabular" name="flags" label="${tool.name} on ${on_string}: Flags that include 0.01,  0.05 and  0.10 significance levels for the differences. "/>

2:caba07f41453

--group $group
--reps $reps
--summaries $summaries
--flags $flags
--volcano $volcano
        ]]></command>
    <inputs>
        <param name="input" type="data" format="tabular" label="Wide Dataset" help="Input your tab-separated wide format dataset. If file is not tab separated see TIP below."/>
        <param name="design" type="data" format="tabular" label="Design File" help="Input your design file (tab-separated). Note you need a 'sampleID' column. If not tab separated see TIP below."/>
        <param name="uniqueID" type="text" size="30" value="" label="Unique Feature ID"  help="Name of the column in your wide dataset that has unique identifiers."/>
        <param name="group" type="text" size="30"             label="Group/Treatment"    help="Name of the column in your design file that contains group classifications."/>
        <param name="reps"  type="text" size="30"    value="" label ="Iteration Number." help="Enter the number of iterations you want to carry out."/>
    </inputs>
    <outputs>
        <data format="tabular" name="summaries" label="${tool.name} on ${on_string}: Summaries that include p-values and mean differences."/>
        <data format="tabular" name="flags" label="${tool.name} on ${on_string}: Flags that include 0.01,  0.05 and  0.10 significance levels for the differences. "/>