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Detect outliers for small-plot trial analysis

outlier_summary.Rd

Provides a summary of the outliers present in the asreml model. Gives context to the outliers by showing the responses for the same factor combinations as the outliers

Usage

outlier_summary(model, cutoff = 3.5)

Arguments

model

The model object to detect outliers in.

The value may be:

  • asreml

  • glmmTMB (not yet implemented)

cutoff

numeric The magnitude of a point's residual to be considered an outlier.

Value

NULL Prints:

  • The number of outliers.

  • A table of the outliers, if any.

  • A table of relevant context to some factor combinations, if there are outliers.

Examples

if (FALSE) { # requireNamespace("asreml", quietly = TRUE)
library(asreml)
model <- asreml(
    fixed = weight ~ littersize + Dose + Sex + Dose:Sex,
    random = ~ idv(Dam),
    residual = ~units,
    data = rats
)
outlier_summary(model)
}