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

In RVAideMemoire: Testing and Plotting Procedures for Biostatistics

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")

Arguments

x	numeric vector (counts).
p	theoretical proportions.
p.method	method for p-values correction. See help of p.adjust.

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.

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.

Author(s)

Maxime HERVE <[e-mail]>

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)

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