Multiple matrix regression (partial Mantel test)
This function conducting a multiple matrix regression (partial Mantel test) and uses Mantel (1967) permutations to test the significance of the model and individual coefficients. It also returns the residual and predicted matrices.
multi.mantel(Y, X, nperm=1000)
Y |
single "dependent" square matrix. Can be either a symmetric matrix of class |
X |
a single independent matrix or multiple independent matrices in a list. As with |
nperm |
number of Mantel permutations to be used to compute a P-value of the test. |
Printing the object to screen will result in a summary of the analysis similar to summary.lm, but with p-values derived from Mantel permutations.
Methods residuals and fitted can be used to return residual and fitted matrices, respectively.
An object of class "multi.mantel" consisting of the following elements:
r.squared |
multiple R-squared. |
coefficients |
model coefficients, including intercept. |
tstatistic |
t-statistics for model coefficients. |
fstatistic |
F-statistic for the overall model. |
probt |
vector of probabilities, based on permutations, for |
probF |
probability of F, based on Mantel permutations. |
residuals |
matrix of residuals. |
predicted |
matrix of predicted values. |
nperm |
tne number of permutations used. |
Liam Revell liam.revell@umb.edu
Mantel, N. (1967) The detection of disease clustering and a generalized regression approach. Cancer Research, 27, 209–220.
Revell, L. J. (2012) phytools: An R package for phylogenetic comparative biology (and other things). Methods Ecol. Evol., 3, 217-223.
Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.