| predict.varComp {statgenGxE} | R Documentation |
Predictions based on a fitted varComp model.
Description
Predictions are made based on the fitted model in the varComp object. These predictions can be at genotype level, at genotype x trial level or at the level of genotype x nestingFactor. If the model was fitted with trial as year x location then genotype x trial level becomes genotype x year x location.
Usage
## S3 method for class 'varComp'
predict(object, ..., predictLevel = "genotype")
Arguments
object |
An object of class varComp. |
... |
Not used. |
predictLevel |
A character string, the level at which prediction should
be made. Either "genotype" for prediction at genotype level, "trial" for
predictions at genotype x trial level, the variable used as nesting factor
for predictions at the level of genotype x nestingFactor level, or one or
more of the extra terms used in the model. E.g. c("region", "year") for a
model fitted with |
Value
A data.frame with predictions.
See Also
Other Mixed model analysis:
CRDR(),
correlations(),
diagnostics(),
gxeVarComp(),
herit(),
plot.varComp(),
vc()
Examples
## Fit a mixed model.
geVarComp <- gxeVarComp(TD = TDMaize, trait = "yld")
## Predictions at genotype level.
predGeno <- predict(geVarComp)
head(predGeno)
## Predictions at genotype x trial level.
predGenoTrial <- predict(geVarComp, predictLevel = "trial")
head(predGenoTrial)