View source: R/model.matrix.diallel_v2.00.R
GCA | R Documentation |
GCA effect to fit Hayman1 & 2 and Griffing 1 & 2 models with lm
function
GCA(P1,P2,type = "fix", data)
P1 |
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P2 |
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type |
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data |
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a design matrix of n-1 parentals
A design matrix for the GCA effect
Andrea Onofri, Niccolo' Terzaroli , Luigi Russi
Onofri, A., Terzaroli, N. & Russi, L. Linear models for diallel crosses: a review with R functions. Theor Appl Genet (2020). https://doi.org/10.1007/s00122-020-03716-8
data("hayman54")
contrasts(hayman54$Block) <- "contr.sum"
dMod<-lm(Ftime ~ Block + GCA(Par1,Par2)
+ tSCA(Par1, Par2) + RGCA(Par1, Par2)
+ RSCA(Par1,Par2), data = hayman54)
anova(dMod)
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