DT_legendre: Simulated data for random regression

In sommer: Solving Mixed Model Equations in R

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 mmer 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

Covarrubias-Pazaran G (2016) Genome assisted prediction of quantitative traits using the R package sommer. PLoS ONE 11(6): doi:10.1371/journal.pone.0156744

See Also

The core functions of the package mmer

Examples

####=========================================####
#### For CRAN time limitations most lines in the 
#### examples are silenced with one '#' mark, 
#### remove them and run the examples using
#### command + shift + C |OR| control + shift + C
####=========================================####
# you need to install the orthopolynom library to do random regression models
# library(orthopolynom)
# data(DT_legendre)
# DT <- DT_legendre
# mRR2<-mmer(Y~ 1 + Xf
#            , random=~ vsr(usr(leg(X,1)),SUBJECT)
#            , rcov=~vsr(units)
#            , data=DT)
# summary(mRR2)$varcomp
# 
# mRR2b<-mmec(Y~ 1 + Xf
#            , random=~ vsc(usc(leg(X,1)),isc(SUBJECT))
#            , rcov=~vsc(isc(units))
#            , data=DT)
# summary(mRR2b)$varcomp

sommer documentation built on Nov. 13, 2023, 9:05 a.m.