I have theoretical knowledge of why we should use bonferroni; however, unfortunately not how.
I am conducting multiple t.tests, sometimes within the main data (number of t.tests = 5, number of main tests/regression = 2), and sometimes within the split data by gender (number of tests = 2).
I am wondering then whether I should conduct bonferroni separately for the main data and the split data.
using R, finding the adjusted p using bonferroni for the main data is then:
p.adjust(c(0.0012, 0.005, 0.0464, 0.003, 0.0321, 0.001, 0.002), method = "bonferroni")
and the same for the split data would then be:
p.adjust(c(0.0464, 0.0321), method = "bonferroni")
Am I doing this correctly? Any help will be appreciated, thanks.