multinomial.theo.multcomp: Pairwise comparisons after an exact multinomial test for...

In RVAideMemoire: Testing and Plotting Procedures for Biostatistics

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)), prop = FALSE,
  p.method = "fdr")

Arguments

x	numeric vector (counts). Can also be a factor; in that case table(x) is used as counts.
p	theoretical proportions.
prop	logical indicating if results should be printed as counts (FALSE) or proportions (TRUE).
p.method	method for p-values correction. See help of p.adjust.

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.

Value

method	name of the test.
data.name	a character string giving the name(s) of the data.
observed	observed counts.
expected	expected counts.
p.adjust.method	method for p-values correction.
p.value2	corrected p-values.
p.value	data frame of results.

Author(s)

Maxime HERVE <[e-mail]>

See Also

multinomial.test, binom.test

Examples

counts <- c(5,15,23)
p.theo <- c(0.2,0.5,0.3)
multinomial.test(counts,p=p.theo)
multinomial.theo.multcomp(counts,p=p.theo)

RVAideMemoire documentation built on Nov. 6, 2023, 5:07 p.m.