RVAideMemoire (version 0.9-6)

fisher.multcomp: Pairwise comparisons after a test for independece of 2 categorical variables

Description

Perform pairwise comparisons after a test for independence of 2 categorical variables, using a Fisher's exact test on each possible 2x2 table. For readability, the function returns results of comparison having a p-value < 0.1.

Usage

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

Arguments

tab.cont

contingency table.

p.method

method for p-values correction. See help of the p.adjust() function.

Value

• p.method
  method for p-values correction.
• levels
  levels of each factor used for creating each 2x2 table.
• odds.ratio
  statistics of each test.
• p.value
  corrected p-values.
• total.recap
  data.frame of all comparisons.
• limited.recap
  data.frame of restricted comparisons (p<0.1).< description="">

See Also

chisq.test, fisher.test

Examples

tab.cont<-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"))))
chisq.test(tab.cont)
fisher.multcomp(tab.cont)