multinomial.theo.multcomp {RVAideMemoire}

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)