mantel.rtest {ade4}R Documentation

Mantel test (correlation between two distance matrices (in R).)

Description

Performs a Mantel test between two distance matrices.

Usage

mantel.rtest(m1, m2, nrepet = 99)

Arguments

m1 an object of class dist
m2 an object of class dist
nrepet the number of permutations

Value

an object of class rtest (randomization tests)

Author(s)

Daniel Chessel
St├ęphane Dray dray@biomserv.univ-lyon1.fr

References

Mantel, N. (1967) The detection of disease clustering and a generalized regression approach. Cancer Research, 27, 209–220.

Examples

    data(yanomama)
    gen <- quasieuclid(as.dist(yanomama$gen))
    geo <- quasieuclid(as.dist(yanomama$geo))
    plot(r1 <- mantel.rtest(geo,gen), main = "Mantel's test")
    r1

Worked out examples


> library(ade4)
> ### Name: mantel.rtest
> ### Title: Mantel test (correlation between two distance matrices (in R).)
> ### Aliases: mantel.rtest
> ### Keywords: array nonparametric
> 
> ### ** Examples
> 
>     data(yanomama)
>     gen <- quasieuclid(as.dist(yanomama$gen))
>     geo <- quasieuclid(as.dist(yanomama$geo))
>     plot(r1 <- mantel.rtest(geo,gen), main = "Mantel's test")
>     r1
Monte-Carlo test
Observation: 0.5095199 
Call: mantel.rtest(m1 = geo, m2 = gen)
Based on 99 replicates
Simulated p-value: 0.01 
> 
> 
> 
> 

[Package ade4 Index]