predict.varComp: Predictions based on a fitted varComp model.

In statgenGxE: Genotype by Environment (GxE) Analysis

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 regionLocationYear = TRUE.

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)

statgenGxE documentation built on May 29, 2024, 1:30 a.m.