mantel.test {ape} | R Documentation

## Mantel Test for Similarity of Two Matrices

### Description

This function computes Mantel's permutation test for similarity of two matrices. It permutes the rows and columns of the two matrices randomly and calculates a Z-statistic.

### Usage

    mantel.test(m1, m2, nperm = 999, graph = FALSE,
                alternative = "two.sided",  ...)

### Arguments

`m1` | a numeric matrix giving a measure of pairwise distances, correlations, or similarities among observations.
`m2` | a second numeric matrix giving another measure of pairwise distances, correlations, or similarities among observations.
`nperm` | the number of times to permute the data.
`graph` | a logical indicating whether to produce a summary graph (by default the graph is not plotted).
`alternative` | a character string defining the alternative hypothesis: `"two.sided"` (default), `"less"`, `"greater"`, or any unambiguous abbreviation of these.
`...` | further arguments to be passed to `plot()` (to add a title, change the axis labels, and so on).

### Details

The function calculates a Z-statistic for the Mantel test, equal to the sum of the pairwise product of the lower triangles of the permuted matrices, for each permutation of rows and columns. It compares the permuted distribution with the Z-statistic observed for the actual data.

If `graph = TRUE`, the functions plots the density estimate of the permutation distribution along with the observed Z-statistic as a vertical line.

The `...` argument allows the user to give further options to the `plot` function: the title main be changed with `main=`, the axis labels with `xlab =`, and `ylab =`, and so on.

### Value

`z.stat` | the Z-statistic (sum of rows*columns of lower triangle) of the data matrices.
`p` | P-value (quantile of the observed Z-statistic in the permutation distribution).
`alternative` | the alternative hypothesis.

### Author(s)

Original code in S by Ben Bolker, ported to R by Julien Claude

### References

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

Manly, B. F. J. (1986) Multivariate statistical methods: a primer. London: Chapman & Hall.

### Examples

    q1 <- matrix(runif(36), nrow = 6)
    q2 <- matrix(runif(36), nrow = 6)
    mantel.test(q1, q2, graph = TRUE,
                main = "Mantel test: a random example with 6 X 6 matrices",
                xlab = "z-statistic", ylab = "Density",
                sub = "The vertical line shows the observed z-statistic")

[Package ape version 4.1 Index]