Pairwise comparisons after an exact multinomial test

Description

Performs pairwise comparisons after a global exact multinomial test. These comparisons are performed using exact binomial tests.

Usage

multinomial.multcomp(x, p.method = "fdr")

Arguments

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).

An exact multinomial test with two groups is strictly the same than an exact binomial test.

Value

Author(s)

Maxime Herv<c3><a9> <mx.herve@gmail.com>

See Also

multinomial.test, binom.test

Examples

counts <- c(5,15,23)
multinomial.test(counts)
multinomial.multcomp(counts)

Results

R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

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'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
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> library(RVAideMemoire)
*** Package RVAideMemoire v 0.9-56 ***
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/RVAideMemoire/multinomial.multcomp.Rd_%03d_medium.png", width=480, height=480)
> ### Name: multinomial.multcomp
> ### Title: Pairwise comparisons after an exact multinomial test
> ### Aliases: multinomial.multcomp
> 
> ### ** Examples
> 
> counts <- c(5,15,23)
> multinomial.test(counts)

	Exact multinomial test

data:  counts
p-value = 0.002187

> multinomial.multcomp(counts)

	Pairwise comparisons using exact binomial tests 

data:  counts 

   5      15    
15 0.0621 -     
23 0.0027 0.2559

P value adjustment method: fdr 
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>