caterpillar: Kingsolver _et al._ caterpillar estimated covariance

In prinsimp: Finding and plotting simple basis vectors for multivariate data

Description

Estimated broad-sense genetic variance-covariance matrix for short-term growth rate at different temperatures in fourth-instar caterpillars from Kingsolver et al (2004).

Measurements are at temperatures 11, 17, 23, 29, 35, 40.

Usage

data(caterpillar)

Format

A 6-by-6 estimated genetic covariance matrix. The matrix is obtained from the printed version of the paper and, due to rounding, it is not positive definite – one of its eigenvalues is negative. The functions in this package, such as simpart handle this by setting all negative eigenvalues to zero and reconstructing the covariance matrix before proceeding.

Source

Kingsolver, J. G., Ragland, G. J. and Shlichta, J. G. (2004). Quantitative genetics of continuous reaction norms: thermal sensitivity of caterpillar growth rates. Evolution, 58:1521–1529.

Examples

library(prinsimp)

data(caterpillar)
cat.sim <- simpart(caterpillar, simpledim = 2,
                   x = c(11, 17, 23, 29, 35, 40), cov = TRUE)
plot(cat.sim)

prinsimp documentation built on May 2, 2019, 2:41 a.m.