if (FALSE) {
library(gap)
meyer <- within(meyer,{
g1 <- ifelse(generation==1,1,0)
g2 <- ifelse(generation==2,1,0)
})
lm(y~-1+g1+g2,data=meyer)
library(MCMCglmm)
m <-MCMCglmm(y~-1+g1+g2,random=animal~1,pedigree=meyer[,1:3],data=meyer,verbose=FALSE)
summary(m)
plot(m)
meyer <- within(meyer,{
id <- animal
animal <- ifelse(!is.na(animal),animal,0)
dam <- ifelse(!is.na(dam),dam,0)
sire <- ifelse(!is.na(sire),sire,0)
})
# library(kinship)
# A <- with(meyer,kinship(animal,sire,dam))*2
A <- kin.morgan(meyer)$kin.matrix*2
library(regress)
regress(y~-1+g1+g2,~A,data=meyer)
prior <- list(R=list(V=1, nu=0.002), G=list(G1=list(V=1, nu=0.002)))
m2 <- MCMCgrm(y~-1+g1+g2,prior,meyer,A,singular.ok=TRUE,verbose=FALSE)
summary(m2)
plot(m2)
}
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