fisher.multcomp: Pairwise comparisons using Fisher's exact test

In RVAideMemoire: Testing and Plotting Procedures for Biostatistics

Pairwise comparisons using Fisher's exact test

Description

Performs pairwise comparisons after a comparison of proportions or after a test for independence of 2 categorical variables, by using a Fisher's exact test.

Usage

fisher.multcomp(tab.cont, p.method = "fdr")

Arguments

tab.cont	contingency table.
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).

Value

method	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 of pairwise comparisons.

Author(s)

Maxime HERVE <[e-mail]>

See Also

chisq.test, prop.test, fisher.test

Examples

# 2-column contingency table: comparison of proportions
tab.cont1 <- matrix(c(17,23,12,24,20,10),ncol=2,dimnames=list(c("Control",
  "Treatment1","Treatment2"),c("Alive","Dead")),byrow=TRUE)
fisher.test(tab.cont1)
fisher.multcomp(tab.cont1)

# 3-column contingency table: independence test
tab.cont2 <- as.table(matrix(c(25,10,12,6,15,14,9,16,9),ncol=3,dimnames=list(c("fair",
  "dark","russet"),c("blue","brown","green"))))
fisher.test(tab.cont2)
fisher.multcomp(tab.cont2)

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