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A prediction function for models with more than one variable to predict on

report_tables.Rd

This function outputs the predictions for each factor for a single model. Each factor is put on a separate Excel sheet.

Usage

report_tables(model, classify)

Arguments

model

The model to generate predictions for.

The value may be:

  • asreml

  • glmmTBM (not yet implemented)

classify

character A string specifying the factors in the model to predict on. If multiple are specified separate with either * or :. For example Nitrogen:Variety or Nitrogen*Variety.

Value

list of data.frame A list of data frames. The first data frame is the ANOVA for the model. The remaining data frames are the prediction tables from the classify object.

Examples

if (FALSE) { # requireNamespace("asreml", quietly = TRUE)
library(asreml)
model <- asreml(
    fixed = yield ~ Variety + Nitrogen + Variety:Nitrogen,
    random = ~idv(Blocks) + idv(Blocks):idv(Wplots),
    residual = ~idv(units),
    data = oats
)

report_tables(
    model,
    classify = "Variety:Nitrogen"
)

if (FALSE) { # \dontrun{
# Using it to write with writexl
tables <- excel_prediction_file(
    model,
    classify = "Variety:Nitrogen",
)

writexl::write_xlsx(x = tables, path = "Prediction_Tables.xlsx")
} # }
}