S3 method for plotting model

S3 method for plotting model

# S3 method for dorem
plot(x, type = "pred", ...)

Arguments

x	Object of class dorem
type	Type of plot. Options are "pred", "coef", "perf", which "pred" being default
...	Extra arguments

Examples

data("bike_score")

banister_model <- dorem(
  Test_5min_Power ~ BikeScore,
  bike_score,
  method = "banister",
  control = dorem_control(
        cv_folds = 3,
        cv_repeats = 5,
        shuffle = TRUE
  )
)
#> Performing banister method using L-BFGS-B optimization
#> Training the model...
#> Cross-validating the model using 5 repeats of 3 folds
#> Fold1.Rep1...
#> Fold2.Rep1...
#> Fold3.Rep1...
#> Fold1.Rep2...
#> Fold2.Rep2...
#> Fold3.Rep2...
#> Fold1.Rep3...
#> Fold2.Rep3...
#> Fold3.Rep3...
#> Fold1.Rep4...
#> Fold2.Rep4...
#> Fold3.Rep4...
#> Fold1.Rep5...
#> Fold2.Rep5...
#> Fold3.Rep5...
#> Training the model using shuffled predictors...
#> Done!
plot(banister_model)
#> Warning: Removed 156 rows containing missing values (geom_point).