Kingsolver et al. caterpillar estimated covariance
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.
data(caterpillar)
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.
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.
library(prinsimp)
data(caterpillar)
cat.sim <- simpart(caterpillar, simpledim = 2,
x = c(11, 17, 23, 29, 35, 40), cov = TRUE)
plot(cat.sim)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.