Create a Table of Summary Statistics

The Summary command creates a new table of summary statistics according to the grouping columns that you specify. Do not confuse Summary with Summarize, which collects summary statistics for a data table and stores them in global variables. See Store Summary Statistics in Global Variables for details.

summDt = dt << Summary(

	Group( groupingColumns ),

	Subgroup( subGroupColumn ),

	Statistic( columns ),// where statistic is Mean, Min, Max, Std Dev, and so on.

	Output Table Name( newName ) );

The following example creates a new table with columns for the mean of height and weight by age, and the maximum height and minimum weight by age:

dt = Open( "$SAMPLE_DATA/Big Class.jmp" );

summDt = dt << Summary(

	Group( :age ),

	Mean( :height, :weight ), Max( :height ), Min( :weight ),

	Output Table Name( "Height-Weight Chart" ) );

Tip: Output Table Name can take a quoted string or a variable that is a string.

By default, a summary table is linked to the original data table. If you want to produce a summary that is not linked to the original data table, add this option to your Summary message:

summDt = dt << Summary( Group( :age ), Mean( :height ),

	Link to Original Data Table( 0 )

);

You can choose to add marginal statistics for grouping variables to the output columns of your data table. JMP also adds a row to the end of the data table that summarizes each level of the first grouping variable. To add marginal statistics, add this option to your Summary message:

summDt = dt << Summary( Group( :age ), Mean( :height ),

	Include marginal statistics

);

You can specify the format of the statistics column name using statistics column name format(). The column name can be in one of these formats:

•

•

•

•

For example, add an option like this to your Summary message:

summDt = dt << Summary( Group( :age ), Mean( :height ),

	statistics column name format("stat of column")

);