data by a column and perform aggregate operation on other columns. grouping.py $out_file1 $input1 $groupcol $ignorecase #for $op in $operations '${op.optype} ${op.opcol} ${op.opround}' #end for Ignore case while grouping? Mean Median Mode Maximum Minimum Sum Count Count Distinct Concatenate Concatenate Distinct Randomly pick NO YES rpy

.. class:: infomark **TIP:** If your data is not TAB delimited, use *Text Manipulation->Convert* ----- **Syntax** This tool allows you to group the input dataset by a particular column and perform aggregate functions like Mean, Median, Mode, Sum, Max, Min, Count, Random draw and Concatenate on other columns. - All invalid, blank and comment lines are skipped when performing the aggregate functions. The number of skipped lines is displayed in the resulting history item. - If multiple modes are present, all are reported. ----- **Example** - For the following input:: chr22 1000 1003 TTT chr22 2000 2003 aaa chr10 2200 2203 TTT chr10 1200 1203 ttt chr22 1600 1603 AAA - **Grouping on column 4** while ignoring case, and performing operation **Count on column 1** will return:: AAA 2 TTT 3 - **Grouping on column 4** while not ignoring case, and performing operation **Count on column 1** will return:: aaa 1 AAA 1 ttt 1 TTT 2