mantel.randtest: 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.randtest(m1, m2, nrepet = 999)
Arguments
m1
an object of class dist
m2
an object of class dist
nrepet
the number of permutations
Value
an object of class randtest (randomization tests)
Author(s)
Jean Thioulouse Jean.Thioulouse@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.randtest(geo,gen), main = "Mantel's test")
r1
Example output
Monte-Carlo test
Call: mantel.randtest(m1 = geo, m2 = gen)
Observation: 0.5095199
Based on 999 replicates
Simulated p-value: 0.003
Alternative hypothesis: greater
Std.Obs Expectation Variance
3.115074507 0.006679755 0.026056918
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.randtest(m1, m2, nrepet = 999)
|
Arguments
m1 |
an object of class |
m2 |
an object of class |
nrepet |
the number of permutations |
Value
an object of class randtest (randomization tests)
Author(s)
Jean Thioulouse Jean.Thioulouse@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.randtest(geo,gen), main = "Mantel's test")
r1
|
Example output
Monte-Carlo test
Call: mantel.randtest(m1 = geo, m2 = gen)
Observation: 0.5095199
Based on 999 replicates
Simulated p-value: 0.003
Alternative hypothesis: greater
Std.Obs Expectation Variance
3.115074507 0.006679755 0.026056918
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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