| pairwise.fisher.test {fmsb} | R Documentation |
By conducting repeatedly Fisher's exact tests instead of chi-square tests, this function can test the null-hypothesis of no difference in any pair of proportions for more than 2 groups, with adjustment of type I error for multiple comparison.
pairwise.fisher.test(x, n, p.adjust.method, ...)
x |
A integer vector of event occurences |
n |
A integer vector of trials |
p.adjust.method |
A name in p.adjust.methods to specify the method to adjust type I error for multiple comparisons. Default is "holm". |
... |
Miscellaneous arguments to be given for fisher.test(). |
An object of adjusted p-values for all possible comparisons of pairs with class pairwise.htest.
Minato Nakazawa minato-nakazawa@people.kobe-u.ac.jp https://minato.sip21c.org/ The code of this function was provided by Dr. Shigenobu AOKI (Gunma Univ.).
pairwise.prop.test, p.adjust.methods
pairwise.fisher.test(c(2,4,5), c(10,14,17), p.adjust.method="bonferroni")
smoker <- c(2,1,7)
total <- c(11,14,10)
names(total) <- c("A","B","C")
pairwise.fisher.test(smoker, total)