Columns Manager > Make Into Data Table Script

[#1]

I tried manually clicking the Columns Manager and the Make into Data Table option, and the script was saved like this. When I duplicated and ran the script, the attached error was encountered. How can I generate a data table from the Columns Manager using a JSL script?

Names Default To Here( 1 );
Assign( rpt );
Wait( 0 );
rpt["Columns Manager", Table Box( 1 )] << Make Into Data Table;
rpt << Close Window;

[#2 · Accepted solution]

Here is the script that I produced that creates a data table from Columns Manager

Names Default To Here( 1 );
dt=current data table();
main menu("columns manager");
rpt = window(dt << get name || " - Columns Manager");
Wait( 0 );
rpt["Columns Manager", Table Box( 1 )] << Make Combined Data Table;
rpt << Close Window;

[#3]

Thank you very much! That worked.

[#4]

Columns manager seems to return a bit weird reference, and you have to do some extra to get the data table out (@jules not sure if this is fixed in JMP19). Here is one more option

Names Default To Here(1);
dt = Open("$SAMPLE_DATA/Big Class.jmp");
cm = dt << Columns Manager(
	Hide Hidden Columns(0),
	Hide Excluded Columns(0),
	Include Extended Statistics(1),
	Force calculations for all numeric columns(1),
	Force calculations for all categorical columns(1)
);
wait(0);
(cm << top parent)[TableBox(1)] << Make into Data Table();

I'm not sure if wait(0) will be always enough for columns manager as I think it can dynamically calculate the statistics. And if you have column groups, you will have to expand those first

Names Default To Here(1);
dt = Open("$SAMPLE_DATA/Probe.jmp");
dt << Expand All Column Groups;
cm = dt << Columns Manager(
	Hide Hidden Columns(0),
	Hide Excluded Columns(0),
	Include Extended Statistics(1),
	Force calculations for all numeric columns(1),
	Force calculations for all categorical columns(1)
);
wait(0);
(cm << top parent)[TableBox(1)] << Make into Data Table();

Have you tried if the Data Dictionary would be enough for your use case?

[#5]

Thank you! This worked also.