Should I use mantel test to test for signifance between [nxm] matrices?

8 views (last 30 days)
I was looking into the Mantel test, but I'm worried that I was going to get myself into a pitfall.
I read that it would be erronous to use a mantel test for datasets spatial auto-correlation, and I'm not sure if my dataset (I've included an image) falls into this category.
Essetially, what I'm trying to do is to decompose my matrix into vectors which I can multiply together to retrive an analog to the 2d matrix. I want to apply a test to show that there is no significant difference between the original matrix and the matrix that I got from the vector multiplication.
Would the Mantel test show that, or would it be erronous? If so, what test should I apply to test for significance between matrices.
Thanks in advnace!
dpb on 2 Oct 2022
Agree w/ @Torsten; this is not a statistical test, but...since Mantel is an application of regression, I think you could use the computed statistic as a performance measure similar to the Pearson correlation; you just can't draw any statistical conclusions regarding the expected value. It, like Pearson, is an R of [-1 1]; one presumes essentially 1.0 will be the result if the reconstruction is good.

Sign in to comment.

Answers (0)

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by