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I know the docs for tableby() suggest that the anova is equivalent to the t-test, I think it's important to still have the option. We already have access to the stats::wilcox.test(), which is only valid for 2 groups.
Happy to do the work and submit a PR.
The text was updated successfully, but these errors were encountered:
Hi jmbarbone, I am also just learning this package. If you are looking at one-sample paired t-test (which most of my work in cohort evaluations), try the paired() which will properly build a pre-post treatment table with difference and p-value (paired t.test)
I know the docs for
tableby()
suggest that theanova
is equivalent to the t-test, I think it's important to still have the option. We already have access to thestats::wilcox.test()
, which is only valid for 2 groups.Happy to do the work and submit a PR.
The text was updated successfully, but these errors were encountered: