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JMP crashing when trying to do Continuous Fit All for 1,152 distributions
I have 288 bins with 4 distributions each (1,152 total) and I'm trying to find the best continuous fit for each distribution. I've tried to press Continuous Fit > Fit All while holding down the Command button (I'm on Mac) so it runs it for all distributions, but this always crashes JMP because that's a ton of calculations. When JMP freezes, I've even let my computer sit for several hours for these calculations to run in the background but no luck.
I know that my distributions will likely mostly be Normal, Normal 2 Mixture, Normal 3 Mixture, and SHASH. I've tried to do one type of fit at a time for all my distributions, but it crashes when I do SHASH. Can anyone help me with a way to do this? Maybe write me some JSL code please? Also, bonus points if anyone can help me export the distribution parameters for all of the best fits into a table.
Note: I'm using JMP Pro 16.
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Re: JMP crashing when trying to do Continuous Fit All for 1,152 distributions
I do not understand the context of your data when you say, "288 bins with 4 distributions each."
Do you expect all 1,152 cases to be independent? Do you have any prior knowledge to suggest a distribution model for each or a common model for some of them?
You can right-click on a table of parameter estimates and select Make Into Combined Table. I'll take the bonus points.
You might contact JMP Technical Support (support@jmp.com) about the crashes. They track crashes. It might be a known issue. There might be a workaround, too.
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Re: JMP crashing when trying to do Continuous Fit All for 1,152 distributions
I just ran this test. It took about five minutes to complete. It did not crash. I am running the current version, JMP 17.2, on a Windows 10.
Names Default to Here( 1 );
data = J( 100, 1152, Random Normal() );
dt = As Table( data );
names = dt << Get Column Names();
cols = dt << Get Column Reference( names );
dist = dt << Distribution( Y( Eval List( cols ) ) );
dist << Fit All;
What is your data like? How many rows do you have?