rcor-methods.Rd
Extract the R-side variance components from a fitted model (asreml or lme) and format them as matrices.
rcor(obj) # S3 method for gls rcor(obj) # S3 method for asreml rcor(obj) # S3 method for asremlrmat print(x, n = 6, dig = 3, ...)
obj | A fitted model object. |
---|---|
x | Object to print |
n | Size of matrix corner to print |
dig | Number of digits for printing |
... | Other arguments (not used) |
A list of matrices.
if (FALSE) { require('agridat') dat <- hanks.sprinkler dat <- transform(dat, subf=factor(subplot), irrf=factor(irr)) dat <- dat[order(dat$block, dat$gen, dat$subplot),] m1 <- asreml(yield ~ gen + dir + irrf + gen:dir + gen:irrf + dir:irrf, data=dat, random= ~ block + block:dir + block:irrf, rcov= ~ block:gen:corb(subf, k=3)) require("lucid") lucid(rcor(m1)$subf[1:8,1:8],dig=2) }