stackTrait: Stacking traits in a dataset

In lme4breeding: Relationship-Based Mixed-Effects Models

Stacking traits in a dataset

Description

stackTrait creates a dataset stacking traits in the long format to be used with the lmebreed solver for multi-trait models.

Usage

  stackTrait(data, traits)

Arguments

data	a data frame with traits in wide format.
traits	variable names corresponding to the traits that should be in the long format.

Value

$res

a data frame with traits in long format.

Author(s)

Giovanny Covarrubias-Pazaran

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 function for the lmebreed solver.

Examples

data(DT_cpdata)
DT <- DT_cpdata
GT <- GT_cpdata
MP <- MP_cpdata
## create the variance-covariance matrix
A <- A.mat(GT) # additive relationship matrix
A <- A + diag(1e-4, ncol(A), ncol(A))
## look at the data and fit the model
head(DT)
DT2 <- stackTrait(data=DT, traits = c("Yield","color"))
head(DT2$long)



mix1 <- lmebreed(valueS~ (0+trait|id),
                 relmat=list(id=A),
                 control = lmerControl(
                   check.nobs.vs.nlev = "ignore",
                   check.nobs.vs.rankZ = "ignore",
                   check.nobs.vs.nRE="ignore"
                 ),
                 data=DT2$long)
vc <- VarCorr(mix1); print(vc,comp=c("Variance"))
cov2cor(vc$id)

lme4breeding documentation built on April 3, 2025, 6:28 p.m.