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Could Fit model test dataset with missing data ? But a lot Nonestimatable effect and incomplete plots

Hello all,

 

I'm new to JMP (JMP15) and only familiar with limited analysis.

           

	position	instant	24h	48h	72h	100h
test A	A, B	Y	Y	Y	Y	Y
test B	A, B	Y	Y	Y	Y	Y
test C	A	Y	Y	Y	Y	NA

 

To simply explain my dataset, with me have data at most time point. only test C didn't have 100h data. Test A and B had tested on both A&B position. Test C tested on A only.

The output from Fit model contains a lot Non-estimable. no results for all the items related to timepoint or position. Table and plot. How should I set in JMP to analyze dataset with missing data smoothly (should be achievable I believe)?

 

Thank you!

 

AnalyticsRe: Could Fit model test dataset with missing data ? But a lot Nonestimatable effect and incomplete plots

It would help if you can attach an anonymised version of your data. There are different reasons why some of the model effects might be NonEstimable. It is a complex model that you are fitting so it might be that you don't have enough observations. Or it could be because of aliasing. It is difficult to know from the information that you have provided.

Re: Could Fit model test dataset with missing data ? But a lot Nonestimatable effect and incomplete plots

Hi Kay,

There are over 2000 lines in the original dataset. I extract ~200 lines and the issue is still here.

Thank you for your attention and help.

 

Cheers,

Diana