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Performs pairwise comparisons after a global exact multinomial test. These comparisons are performed using exact binomial tests.
multinomial.multcomp(x, p.method = "fdr")
name of the test.
a character string giving the name(s) of the data.
method for p-values correction.
table of results.
numeric vector (counts). Can also be a factor; in that case table(x) is used as counts.
table(x)
method for p-values correction. See help of p.adjust.
p.adjust
Maxime HERVE <maxime.herve@univ-rennes1.fr>
Since chi-squared and G tests are approximate tests, exact tests are preferable when the number of individuals is small (200 is a reasonable minimum).
An exact multinomial test with two groups is strictly the same than an exact binomial test.
multinomial.test, binom.test
multinomial.test
binom.test
counts <- c(5,15,23) multinomial.test(counts) multinomial.multcomp(counts)
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