responsediffBeta: Calculate response differences along a set of selection...

In GHBolstad/evolvability: Calculation of Evolvability Parameters

Calculate response differences along a set of selection gradients

Description

G1 and G2 need to be symmetric and positive definite.

Usage

responsediffBeta(G1, G2, Beta, means1 = 1, means2 = 1)

Arguments

G1	A variance matrix.
G2	A variance matrix.
Beta	Either a vector or a matrix of unit length selection gradients stacked column wise.
means1	An optional vector of trait means of G1 (for internal mean standardization).
means2	An optional vector of trait means of G2 (for internal mean standardization).

Details

responsdiffBeta calculates the response difference along selection gradients between two additive-genetic variance matrices as described in Hansen and Houle (2008).

Value

An object of class 'responsdiffBeta', which is a list with the following components:

Beta				The matrix of selection gradients.
d				The response difference of each selection gradient.

Author(s)

Geir H. Bolstad

References

Hansen, T. F. & Houle, D. (2008) Measuring and comparing evolvability and constraint in multivariate characters. J. Evol. Biol. 21:1201-1219.

Examples

G1 <- matrix(c(1, 1, 0, 1, 2, 2, 0, 2, 3), ncol = 3) / 10
G2 <- matrix(c(1, 2, 0,2, 1, 1,0, 1, 3), ncol = 3)
Beta <- randomBeta(5, 3)
X <- responsediffBeta(G1, G2, Beta)
summary(X)

GHBolstad/evolvability documentation built on Feb. 12, 2023, 5:06 a.m.