# HG changeset patch
# User Assaf Gordon <agordon@wi.mit.edu>
# Date 1416709077 18000
# Node ID 687db8c37dcff9cc1cb90c4d191369aed960e2c6
# Parent  ee35019e3cbae00d08bd145c5eaf87e6fbdd3279
remove leftover datamash.xml from merge

diff -r ee35019e3cba -r 687db8c37dcf datamash.xml
--- a/datamash.xml	Sat Nov 22 21:13:52 2014 -0500
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,172 +0,0 @@
-<tool id="Datamash" name="Datamash" version="1.0.5">
-  <description>(operations on tabular data)</description>
-
-  <requirements>
-    <requirement type="package" version="1.0.5">datamash</requirement>
-  </requirements>
-
-  <command>
-    datamash
-      $header_in
-      $header_out
-      $need_sort
-      $print_full_line
-      $ignore_case
-      #if str($grouping)>0
-      --group '$grouping'
-      #end if
-      #for $oper in $operations
-        ${oper.op_name}
-        ${oper.op_column}
-      #end for
-      &lt; $in_file &gt; $out_file
-  </command>
-  <inputs>
-    <param format="tabular" name="in_file" type="data" label="Select Input Data" help=""/>
-
-    <param name="grouping" label="Group by fields" type="text" help="Example: 1,4 - To group by the first and fourth fields. Leave empty to perform operation on entire file as one group."/>
-
-    <param name="header_in" type="boolean" truevalue="--header-in" falsevalue=""
-	label="Input file has a header line" help="Mark this if the input file's first line is a header line" />
-
-    <param name="header_out" type="boolean" truevalue="--header-out" falsevalue=""
-	label="Print header line" help="Mark this if you want the first line to show the field names" />
-
-    <param name="need_sort" type="boolean" truevalue="--sort" falsevalue=""
-	label="Sort input" help="Mark if the input file is not sorted. If the input file is already sorted, unmark this option to reduce computing time." />
-
-    <param name="print_full_line" type="boolean" truevalue="--full" falsevalue=""
-	label="Print all fields from input file" help="If set, all input fields will be printed. If unset, only fields used for grouping will be printed." />
-
-    <param name="ignore_case" type="boolean" truevalue="--ignore-case" falsevalue=""
-	label="Ignore case when grouping" help="If set, upper/lowercase differences will be ignored when grouping fields." />
-
-    <repeat name="operations" title="Operation to perform on each group">
-      <param name="op_name" type="select" label="Type">
-        <option value="count">count</option>
-        <option value="sum">sum</option>
-        <option value="min">minimum</option>
-        <option value="max">maximum</option>
-        <option value="absmin">Absolute minimum</option>
-        <option value="absmax">Absolute maximum</option>
-        <option value="mean">Mean</option>
-        <option value="pstdev">Population Standard deviantion</option>
-        <option value="sstdev">Sample Standard deviantion</option>
-        <option value="median">Median</option>
-        <option value="q1">1st quartile</option>
-        <option value="q3">3rd quartile</option>
-        <option value="iqr">Inter-quartile range</option>
-        <option value="mad">Median Absolute Deviation</option>
-        <option value="pvar">Variance (population)</option>
-        <option value="svar">Variance (sample)</option>
-        <option value="sskew">Skewness (sample)</option>
-        <option value="pskew">Skewness (population)</option>
-        <option value="skurt">Kurtosis (sample)</option>
-        <option value="pkurt">Kurtosis (population)</option>
-        <option value="jarque">Jarque-Bera Normality test</option>
-        <option value="dpo">DAgostino-Pearson Omnibus Normality Test</option>
-        <option value="mode">Mode</option>
-        <option value="antimode">Anti-Mode</option>
-        <option value="unique">Combine all unique values</option>
-        <option value="collapse">Combine all values</option>
-        <option value="countunique">Count Unique values</option>
-      </param>
-      <param name="op_column" label="On column" type="data_column" data_ref="in_file" />
-    </repeat>
-  </inputs>
-
-  <outputs>
-    <data format="tabular" name="out_file" />
-  </outputs>
-
-  <tests>
-      <test>
-          <param name="in_file" value="group_compute_input.txt" />
-          <param name="grouping" value="2" />
-          <param name="header_in" value="true" />
-          <param name="header_out" value="true" />
-          <param name="need_sort"  value="true" />
-          <param name="print_full_line"  value="false" />
-          <param name="op_column" value="3" />
-          <param name="op_name" value="sum" />
-          <param name="ignore_case"  value="false" />
-          <output name="out_file" file="group_compute_output.txt" />
-      </test>
-  </tests>
-<help>
-
-.. class:: infomark
-
-**TIP:** Input data must be TAB delimited. If the desired dataset does not appear in the input list, use *Text Manipulation-&gt;Convert* to convert it to **Tabular** type.
-
------
-
-**Syntax**
-
-This tools performs common operations (such as summing, counting, mean, standard-deviation) on input file, based on tabular data. The tool can also optionaly group the input based on a given field.
-
------
-
-**Example 1**
-
-- Find the average score in statistics course of college students, grouped by their college major. The input file has three fields (Name,Major,Score) and a header line::
-
-    Name        Major            Score
-    Bryan       Arts             68
-    Isaiah      Arts             80
-    Gabriel     Health-Medicine  100
-    Tysza       Business         92
-    Zackery     Engineering      54
-    ...
-    ...
-
-- Grouping the input by the second column (*Major*), and performing operations **mean** and **sample standard deviation** on the third column (*Score*), gives::
-
-    GroupBy(Major)     mean(Score)   sstdev(Score)
-    Arts               68.9474       10.4215
-    Business           87.3636       5.18214
-    Engineering        66.5385       19.8814
-    Health-Medicine    90.6154       9.22441
-    Life-Sciences      55.3333       20.606
-    Social-Sciences    60.2667       17.2273
-
-This sample file is available at http://www.gnu.org/software/datamash .
-
-**Example 2**
-
-- Using the UCSC RefSeq Human Gene Track, available at: http://hgdownload.soe.ucsc.edu/goldenPath/hg38/database/refGene.txt.gz
-
-- List the number and identifiers of isoforms per gene. The gene identifier is in column 13, the isoform/transcript identifier is in column 2. Grouping by column 13 and performing **count** and **Combine all values** on column 2, gives::
-
-    GroupBy(field-13)     count(field-2)     collapse(field-2)
-    A1BG                  1                  NM_130786
-    A1BG-AS1              1                  NR_015380
-    A1CF                  6                  NM_001198818,NM_001198819,NM_001198820,NM_014576,NM_138932,NM_138933
-    A2M                   1                  NM_000014
-    A2M-AS1               1                  NR_026971
-    A2ML1                 2                  NM_001282424,NM_144670
-    ...
-
-- Count how many transcripts are listed for each chromosome and strand. Chromosome is on column 3, Strand is in column 4. Transcript identifiers are in column 2. Grouping by columns **3,4** and performing operation **count** on column 2, gives::
-
-    GroupBy(field-3)     GroupBy(field-4)     count(field-2)
-    chr1                 +                    2456
-    chr1                 -                    2431
-    chr2                 +                    1599
-    chr2                 -                    1419
-    chr3                 +                    1287
-    chr3                 -                    1249
-    ...
-
------
-
-**GNU Datamash** is a Free and Open Source Software, see more details on the Datamash_ Website.
-
-**GNU Datamash** is also available as a command-line program, see http://www.gnu.org/software/datamash/download/ .
-
-For more details about supported statistical operations, see Datamash_ website.
-
-.. _Datamash: http://www.gnu.org/software/datamash/
-
-</help>
-</tool>