multinomial.theo.multcomp: Pairwise comparisons after an exact multinomial test for given probabilities
Description
Performs pairwise comparisons after a global exact multinomial test for given probabilities. These comparisons are performed using exact binomial tests.
Usage
multinomial.theo.multcomp(x, p = rep(1/length(x), length(x)), p.method = "fdr")
Arguments
x
numeric vector (counts).
p
theoretical proportions.
p.method
method for p-values correction. See help of p.adjust.
Value
methodname of the test.
data.namea character string giving the name(s) of the data.
observedobserved counts.
expectedexpected counts.
p.adjust.methodmethod for p-values correction.
p.value2corrected p-values.
p.valuedata frame of results.
Details
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.