DT_legendre {lme4breeding} | R Documentation |
Simulated data for random regression
Description
A data frame with 4 columns; SUBJECT, X, Xf and Y to show how to use the Legendre polynomials in the lmebreed function using a numeric variable X and a response variable Y.
Usage
data("DT_legendre")
Format
The format is: chr "DT_legendre"
Source
This data was simulated for fruit breeding applications.
References
Giovanny Covarrubias-Pazaran (2024). lme4breeding: enabling genetic evaluation in the age of genomic data. To be submitted to Bioinformatics.
Douglas Bates, Martin Maechler, Ben Bolker, Steve Walker (2015). Fitting Linear Mixed-Effects Models Using lme4. Journal of Statistical Software, 67(1), 1-48.
See Also
The core function of the package lmebreed
Examples
data(DT_legendre)
DT <- DT_legendre
head(DT)
library(orthopolynom)
Z <- with(DT, smm(leg(X,1)) )
## diagonal random regression
form <- paste0( "Y ~ Xf + (0+", paste(colnames(Z), collapse = "+"), "|| SUBJECT)")
## unstructured random regression
form <- paste0( "Y ~ Xf + (0+", paste(colnames(Z), collapse = "+"), "| SUBJECT)")
for(i in 1:ncol(Z)){DT[,colnames(Z)[i]] <- Z[,i]}
mRR2b<-lmebreed(as.formula(form),
, data=DT)
vc <- VarCorr(mRR2b); print(vc,comp=c("Variance"))
[Package lme4breeding version 1.0.30 Index]