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Re: Fit model for a non-parametric test

For multi-way non-parametric ANOVA, there are a few options available, including Friedman's test (which just doing an ANOVA on the the ranked observations).  Another is to use quantile normalization, where you use the quantile of the data and convert that to the equivalent normal distribution value.  But, one challenge is that there is not an generally good accepted way of doing this.

 

For the non-parametric multiple comparisons in the Bivariate platform under Fit Y by X, we will consider adding connected letter reports to the output.  

 

Thank you for your input and suggestion. 

 

Fit model for a non-parametric test

Good day,

I would like an ANOVA equivalent for a non-parametric test.

I understand that to do this there are several options in JMP, one which is the The Kruskal-Wallis test, however, is it possible to have a two/three way type of ANOVA in the case of a parametric test that we do using the Fit model 

Also, when I try using the Fit Y by X option using Steel-Dwass there are no option for connecting letters. (I see a lot of people have requested for this option on JMP, is there by any way a solution yet? I would really appreciate one).

Basic Data Analysis and ModelingStatistics and AnalyticsRe: Fit model for a non-parametric test - Status changed to: Acknowledged

Changing the status to acknowledged. Thank you.

Re: Fit model for a non-parametric test - Status changed to: Yes, Stay Tuned!Re: Fit model for a non-parametric test - Status changed to: Delivered

Marking as delivered. This functionality was added in JMP 18. Thank you!