Names Default To Here( 1 );
dt = Open( "$SAMPLE_DATA/Big Class.jmp" );
obj = Bivariate( Y( :Weight ), X( :Height ) )<<GROUP by=""></GROUP>
tried lis below , it won't work.
val_predict_ls=obj<Re: How to save predicted values into matrix or list without saving into existing data tableThanks.
My attempt was trying get the a few key summary values like mean, sigma etc from a group of predicted values based on a large data base.
Looks like, need to go your way by saving into data table, then deleted them.Re: How to save predicted values into matrix or list without saving into existing data table
I am not sure how to create the matrix without creating the column in the data table, but here is a method that functionally will do what you want
Names Default To Here( 1 );
dt = Open( "$SAMPLE_DATA/Big Class.jmp" );
// Get the groupings for the sex column
Summarize( dt, bysex = by( :sex ) );
obj = Bivariate( Y( :Weight ), X( :Height ) ) << Group by( :sex );
obj << Fit spline( 0.1, Standardized, {Save Predicteds} );
// Create the matricies for the groups and delete the
// columns from the data table
For( i = N Items( bysex ), i >= 1, i--,
Eval(
Parse(
bysex[i] ||
"_Predicted_Matrix = column(dt,N Col(dt))<<GET values=""></GET>
