How to use corresponding SPM analysis for coordination variability
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First I quantified the coordination variability under three different tasks using standard deviation, so that there are only 101 data points of variability for each task, and I want to get the correlation report of the standard deviation under these three tasks.
In spm1d I see “ex1d_cca.m&ex1d_manova1.m”,but I can't understand how the author set up the dataset,I think it may be a simple and stupid question,but it does give me a lot of trouble,I hope to get your help.
I'm not sure I've explained my doubts clearly, if not please let me know!
Thank you ~
The procedure spm1d.stats.eqvartest can be used to test for the equality of variance between two samples. Please find a description of the procedure and a relevant literature reference in the source code here:
https://github.com/0todd0000/spm1d/blob/master/spm1d/stats/var.py
Notes:
- You must submit the entire data sample (i.e., all observations from both samples) to the procedure, and not just the estimated variance or standard deviation.
- It is currently only possible to compare two samples. A future version of spm1d may support more samples.
Thank you very much for your reply, I can't wait to try it out.