predict.varComp function

Predictions based on a fitted varComp model.

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.

## 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 regionLocationYear = TRUE.

Returns

A data.frame with predictions.

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)

See Also

Other Mixed model analysis: CRDR(), correlations(), diagnostics(), gxeVarComp(), herit(), plot.varComp(), vc()