prop.multinom.test: Wald tests for comparison of proportions

In RVAideMemoire: Testing and Plotting Procedures for Biostatistics

Wald tests for comparison of proportions

Description

Performs pairwise comparisons of proportions when the number of classes is >= 2 with corrections for multiple testing.

Usage

prop.multinom.test(x, p.method = "fdr")

Arguments

x	either a factor or a matrix with K columns giving the counts for each of the K classes.
p.method	method for p-values correction. See help of p.adjust.

Details

The function builds multinomial log-linear models (using multinom) and applies Wald tests to compare the intercepts to 0. All necessary models (each time using a different reference level/class) are built to get p-values of all possible comparisons among levels/classes.

Value

method	a character string indicating the name of the test.
data.name	a character string giving the name(s) of the data.
p.adjust.method	method for p-values correction.
p.value	table of results.
z.tab	table of z values.

Author(s)

Maxime HERVE <[e-mail]>

See Also

multinom, binom.test

Examples

response <- factor(rep(LETTERS[1:4],c(20,40,42,13)))
table(response)/length(response)
prop.multinom.test(response)

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