Calculate Covariance Matrix from a linear model fitted with lm()
Calculates covariance matrix using the maximum likelihood estimator and the model residuals.
CalculateMatrix(linear.m)
linear.m |
Linear model adjusted for original data. |
Estimated covariance matrix.
Diogo Melo, Fabio Machado
https://github.com/lem-usp/evolqg/wiki/
data(iris)
options(contrasts=c("contr.sum","contr.poly"))
iris.lm = lm(as.matrix(iris[,1:4])~iris[,5])
cov.matrix <- CalculateMatrix(iris.lm)
#To obtain a corrlation matrix, use:
cor.matrix <- cov2cor(cov.matrix)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.