lmDiallel (version 1.0.1)

lmDiallel-methods: Methods for diallel model fitting

Description

The object returned by the 'lm.diallel()' function is of classes 'lm' and 'diallel'. Specific methods were devised to explore the 'diallel' object.

Usage

# S3 method for diallel
summary(object, MSE, dfr, ...)
# S3 method for diallel
vcov(object, MSE, ...)
# S3 method for diallel
anova(object, MSE, dfr, type = 1, ...)
# S3 method for diallel
model.matrix(object, ...)

Value

vcov.diallel: a variance-covariance matrix summary.diallel: a data.frame of estimated parameters with standard errors anova.diallel: an ANOVA table predict.diallel: a vector of predictions from a diallel model model.matrix.diallel: a design matrix for the fitted diallel model

Arguments

object

an object of class diallel.

MSE

Mean Square Error, when it cannot be derived from model fit

dfr

Residual degrees of freedom, when they cannot be derived from model fit

type

It is used to select between Type I (sequential) or Type III (marginal) F tests in ANOVA

...

Other optional arguments

Details

To be defined

References

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

Examples

library(lmDiallel)
library(multcomp)
# Data with replicates
data("hayman54")

fit <- lm.diallel(Ftime ~ Par1 + Par2, data = hayman54,
                  fct = "HAYMAN1")
summary(fit)
anova(fit)
gh <- glht(linfct = diallel.eff(fit), adjust = "none")