Score new samples using hat values
# S3 method for apd_hat_values
score(object, new_data, type = "numeric", ...)A apd_hat_values object.
A data frame or matrix of new predictors.
A single character. The type of predictions to generate. Valid options are:
"numeric" for a numeric value that summarizes the hat values for
each sample across the training set.
Not used, but required for extensibility.
A tibble of predictions. The number of rows in the tibble is guaranteed
to be the same as the number of rows in new_data. For type = "numeric",
the tibble contains two columns hat_values and hat_values_pctls. The
column hat_values_pctls is in percent units so that a value of 11.5
indicates that, in the training set, 11.5 percent of the training set
samples had smaller values than the sample being scored.
train_data <- mtcars[1:20, ]
test_data <- mtcars[21:32, ]
hat_values_model <- apd_hat_values(train_data)
hat_values_scoring <- score(hat_values_model, new_data = test_data)
hat_values_scoring
#> # A tibble: 12 × 2
#> hat_values hat_values_pctls
#> <dbl> <dbl>
#> 1 1.45 1
#> 2 0.852 90.0
#> 3 1.13 1
#> 4 1.19 1
#> 5 0.901 93.2
#> 6 0.335 6.34
#> 7 5.41 1
#> 8 5.91 1
#> 9 8.19 1
#> 10 5.11 1
#> 11 12.4 1
#> 12 0.960 1