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prop_test(), pairwise_prop_test() and row_wise_prop_test(). Performs one-sample and two-samples z-test of proportions. Wrappers around the R base function prop.test() but have the advantage of performing pairwise and row-wise z-test of two proportions, the post-hoc tests following a significant chi-square test of homogeneity for 2xc and rx2 contingency tables.
fisher_test(), pairwise_fisher_test() and row_wise_fisher_test(): Fisher's exact test for count data. Wrappers around the R base function fisher.test() but have the advantage of performing pairwise and row-wise fisher tests, the post-hoc tests following a significant chi-square test of homogeneity for 2xc and rx2 contingency tables.
chisq_test(), pairwise_chisq_gof_test(), pairwise_chisq_test_against_p() : Chi-square test for count data.
binom_test(), pairwise_binom_test(), pairwise_binom_test_against_p() and multinom_test(): performs exact binomial and multinomial tests. Alternative to the chi-square test of goodness-of-fit-test when the sample.
counts_to_cases(): converts a contingency table or a data frame of counts into a data frame of individual observations.
New functions mcnemar_test() and cochran_qtest() for comparing two ore more related proportions.
prop_trend_test(): Performs chi-squared test for trend in proportion. This test is also known as Cochran-Armitage trend test.
Minor changes
Now get_test_label() and get_pwc_label() return expression by default