AFNI Message Board

Dear AFNI users-

We are very pleased to announce that the new AFNI Message Board framework is up! Please join us at:

https://discuss.afni.nimh.nih.gov

Existing user accounts have been migrated, so returning users can login by requesting a password reset. New users can create accounts, as well, through a standard account creation process. Please note that these setup emails might initially go to spam folders (esp. for NIH users!), so please check those locations in the beginning.

The current Message Board discussion threads have been migrated to the new framework. The current Message Board will remain visible, but read-only, for a little while.

Sincerely, AFNI HQ

History of AFNI updates  

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June 20, 2017 05:00PM
For almost any purpose, Pearson correlation is what you want. The others are experimental.

Spearman would be used if you expect a lot of outliers. Usually it will be almost identical to Pearson.

Taub's k is really useful only when the data consists of a few levels (such a numbers 1, 2, 3, 4, or 5), not a continuously variable value.

Quadrant correlation is never useful, and is there just for fun fun fun in the sun sun sun.
Subject Author Posted

3dtcorr1d spearman vs pearson

jgowin June 20, 2017 04:23PM

Re: 3dtcorr1d spearman vs pearson

Bob Cox June 20, 2017 05:00PM

Re: 3dtcorr1d spearman vs pearson

jgowin June 22, 2017 01:03PM