Question on JSL script for Distribution Output converted to a table

Question

JMP gives one the option of converting the output from a distribution run into a table under the options after running an analysis (graphical only and under the log file no script is shown).  In order to save the process it would be nice to know a coding option in jsl script instead of graphically choosing the export option for future replication.  Are there any suggestions?  When looking through the jsl syntax pdf book included with JMP 8.0 I was unable to find any specific information.

Thank-you.

ccp · Answer

Thank you for posting this. I was able to use this to save the equation for a log fit on an x-y plot. Here's the syntax i used:

dr = Bivariate(

Y( :rate ),

X( :step),

By( :test),

Fit Special( yTran( "Log" ), {Line Color( {213, 72, 87} )} )

) << report;

tempdt = dr[1]["Parameter Estimates"][1] << make combined data table ;

I am sure I will find other applications for this too.

ccp

gh · Answer

the last line of the script didn't show up right in the message - it was:
dt2 = dr[1]["Confidence Intervals"][1] << make combined data table;

gh · Answer

Hi 
Maybe I'm misunderstandign your question, but I often use the options 'make into data table' and 'make combined data table' which saves analysis output into a data table for further analyses. This can be very handy - similar to using ODS in SAS. THe following gives an example of how to do that:
dt = open ("C:\Program Files\SAS\JMP\8\Support Files English\Sample Data\Mushroom.jmp");

dr = Distribution(Nominal Distribution( Column( :Edibility ), Confidence Interval( 0.95 ) ),	By( :cap shape, :cap surface )) << report;

dt2 = dr[1]["Confidence Intervals"][1] << make combined data table;

Cheers
Gunter

Message was edited by: GH

THe script didn't showe up right:
dt = Open( "C:\Program Files\SAS\JMP\8\Support Files English\Sample Data\Mushroom.jmp" );
dr = Distribution( Nominal Distribution( Column( :Edibility ), Confidence Interval( 0.95 ) ), By( :cap shape, :cap surface ) ) << report;
dt2 = dr[1]["Confidence Intervals"][1] << make combined data table;

Message was edited by: GH