> why the F-test and t-test came different?
You can verify this by checking whether the squared t-value is about the same as the F-square.
> there are 11 clusters for F-test and 10 for the t-test
Find out why that extra cluster failed to survive the t-test. Possible reasons: 1) approximation, 2) one-sided vs two-sided. Change your cluster or p-value threshold, and see what happens. This also shows the intrinsic problem with artificial dichotomization. Instead, a highlight-but-not-hide approach is recommended: [
www.biorxiv.org]
Gang
