mantel.rtest: Mantel test (correlation between two distance matrices (in...
In ade4: Analysis of Ecological Data : Exploratory and Euclidean Methods in Environmental Sciences
Description
Usage
Arguments
Value
Author(s)
References
Examples
Description
Performs a Mantel test between two distance matrices.
Usage
1
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
Stéphane Dray stephane.dray@univ-lyon1.fr
References
Mantel, N. (1967) The detection of disease clustering and a generalized regression approach. Cancer Research, 27, 209–220.
Examples
1
2
3
4
5
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
Example output
Monte-Carlo test
Call: mantel.rtest(m1 = geo, m2 = gen)
Observation: 0.5095199
Based on 99 replicates
Simulated p-value: 0.01
Alternative hypothesis: greater
Std.Obs Expectation Variance
3.26305981 -0.01220671 0.02556442
ade4 documentation built on May 2, 2019, 5:50 p.m.
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Description Usage Arguments Value Author(s) References Examples
Description
Performs a Mantel test between two distance matrices.
Usage
1 | mantel.rtest(m1, m2, nrepet = 99)
|
Arguments
m1 |
an object of class |
m2 |
an object of class |
nrepet |
the number of permutations |
Value
an object of class rtest (randomization tests)
Author(s)
Daniel Chessel
Stéphane Dray stephane.dray@univ-lyon1.fr
References
Mantel, N. (1967) The detection of disease clustering and a generalized regression approach. Cancer Research, 27, 209–220.
Examples
1 2 3 4 5 | 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
|
Example output
Monte-Carlo test
Call: mantel.rtest(m1 = geo, m2 = gen)
Observation: 0.5095199
Based on 99 replicates
Simulated p-value: 0.01
Alternative hypothesis: greater
Std.Obs Expectation Variance
3.26305981 -0.01220671 0.02556442
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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