Predict outcome for new data

Predict outcome for new data

roc_predict(object, x_new, ...)

Arguments

object	Either an object which inherits from one of following classes: roc_result_list, roc_info, roc_info_multi, or a data frame with exactly one row, which contains columns: "cutoff" (numeric), "below" (character), "above" (character).
x_new	A numeric vector with data to predict on.
...	Arguments to further methods.

See also

Other functions for ROC: access_elements, calculate_performance(), print.as_str(), roc_performance_measures

Examples

library(manyROC)

set.seed(1)
x <- rnorm(10)
gr <- gl(n = 2, k = 5, length = 10, labels = c("H", "S"))
object <- roc_analysis(x, gr)

roc_predict(object, x_new = 1)
#> [1] "S"

roc_predict(object, x_new = -1)
#> [1] "H"

roc_predict(object, x_new = rnorm(20))
#>  [1] "S" "H" "H" "H" "S" "H" "H" "S" "S" "S" "S" "S" "H" "H" "S" "H" "H" "H" "H"
#> [20] "S"