RVAideMemoire (version 0.9-83-12)

chisq.theo.multcomp: Pairwise comparisons after a chi-squared test for given probabilities

Description

Performs pairwise comparisons after a global chi-squared test for given probabilities.

Usage

chisq.theo.multcomp(x, p = rep(1/length(x), length(x)), p.method = "fdr")

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.

statistic

statistics of each test.

p.value2

corrected p-values.

p.value

data frame of results.

Arguments

x

numeric vector (counts).

p

theoretical proportions.

p.method

method for p-values correction. See help of p.adjust.

Author

Maxime HERVE <[email protected]>

Details

Since a chi-squared test is an approximate test, an exact test is preferable when the number of individuals is small (200 is a reasonable minimum). See multinomial.theo.multcomp in that case.

See Also

chisq.test, multinomial.test, multinomial.theo.multcomp

Examples

counts <- c(49,30,63,59)
p.theo <- c(0.2,0.1,0.45,0.25)
chisq.test(counts,p=p.theo)
chisq.theo.multcomp(counts,p=p.theo)