probcurve-roc_curve.md
In yardstick: Tidy Characterizations of Model Performance

na_rm = FALSE errors if missing values are present

Code
  roc_curve_vec(df$truth, df$Class1, na_rm = FALSE)
Condition
  Error in `roc_curve_vec()`:
  x Missing values were detected and `na_ra = FALSE`.
  i Not able to perform calculations.

errors with class_pred input

Code
  roc_curve_vec(cp_truth, estimate)
Condition
  Error in `roc_curve_vec()`:
  ! `truth` should not a <class_pred> object.

na_rm argument check

Code
  roc_curve_vec(1, 1, na_rm = "yes")
Condition
  Error in `roc_curve_vec()`:
  ! `na_rm` must be `TRUE` or `FALSE`, not the string "yes".

roc_curve() - error is thrown when missing events

Code
  roc_curve_vec(no_event$truth, no_event$Class1)[[".estimate"]]
Condition
  Error in `roc_curve_vec()`:
  ! No event observations were detected in `truth` with event level 'Class1'.

roc_curve() - error is thrown when missing controls

Code
  roc_curve_vec(no_control$truth, no_control$Class1)[[".estimate"]]
Condition
  Error in `roc_curve()`:
  ! No control observations were detected in `truth` with control level 'Class2'.

roc_curve() - multiclass one-vs-all approach results in error

Code
  roc_curve_vec(no_event$obs, as.matrix(dplyr::select(no_event, VF:L)))[[
    ".estimate"]]
Condition
  Error in `roc_curve()`:
  ! No control observations were detected in `truth` with control level '..other'.

roc_curve() - `options` is defunct

Code
  roc_curve(two_class_example, truth, Class1, options = 1)
Condition
  Error:
  ! The `options` argument of `roc_curve()` was deprecated in yardstick 1.0.0 and is now defunct.
  i This argument no longer has any effect, and is being ignored. Use the pROC package directly if you need these features.

thresholds argument throws errors when wrongly specied

Code
  roc_curve(two_class_example, truth, Class1, thresholds = TRUE)
Condition
  Error in `roc_curve()`:
  ! `thresholds` must be a numeric vector, not `TRUE`.

Code
  roc_curve(two_class_example, truth, Class1, thresholds = -4)
Condition
  Error in `roc_curve()`:
  ! `thresholds` must only take values between 0 and 1.
  The following 1 index falls outside the range: 1.

Code
  roc_curve(two_class_example, truth, Class1, thresholds = seq(-1, 2, by = 0.2))
Condition
  Error in `roc_curve()`:
  ! `thresholds` must only take values between 0 and 1.
  The following 10 indices fall outside the range: 1, 2, 3, 4, 5, 12, 13, 14, 15, and 16.