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error-handling.md

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bad args

Code
  sens(pathology, truth = "patholosgy", estimate = "scan")
Condition
  Error in `sens()`:
  ! Can't subset columns that don't exist.
  x Column `patholosgy` doesn't exist.

truth should be factor

Code
  sens(df, truth, estimate)
Condition
  Error in `dplyr::summarise()`:
  i In argument: `.estimate = fn(...)`.
  Caused by error in `validate_factor_truth_factor_estimate()`:
  ! `truth` should be a factor, not a `numeric`.

At least 2 levels in truth

Code
  sens(df, truth, estimate)
Condition
  Error in `dplyr::summarise()`:
  i In argument: `.estimate = fn(...)`.
  Caused by error in `validate_binary_estimator()`:
  ! `estimator` is binary, only two class `truth` factors are allowed. A factor with 1 levels was provided.

Single character values are caught with correct errors

Code
  sens(pathology, "a", scan)
Condition
  Error in `sens()`:
  ! Can't subset columns that don't exist.
  x Column `a` doesn't exist.

Bad unquoted input is caught

Code
  sens(pathology, !!bad, scan)
Condition
  Error in `sens()`:
  ! Can't subset columns that don't exist.
  x Column `a` doesn't exist.

Non-allowed estimator

Code
  sens(pathology, pathology, scan, estimator = "blah")
Condition
  Error in `dplyr::summarise()`:
  i In argument: `.estimator = finalize_estimator(...)`.
  Caused by error in `validate_estimator()`:
  ! `estimator` must be one of: "binary", "macro", "micro", "macro_weighted". Not "blah".

Bad estimator + truth combination

Code
  sens(hpc_cv, obs, pred, estimator = "binary")
Condition
  Error in `dplyr::summarise()`:
  i In argument: `.estimate = fn(...)`.
  Caused by error in `validate_binary_estimator()`:
  ! `estimator` is binary, only two class `truth` factors are allowed. A factor with 4 levels was provided.

Bad estimator type

Code
  sens(hpc_cv, obs, pred, estimator = 1)
Condition
  Error in `dplyr::summarise()`:
  i In argument: `.estimator = finalize_estimator(.data[["obs"]], .env[["estimator"]], .env[["name"]])`.
  Caused by error in `validate_estimator()`:
  ! `estimator` must be a character, not a numeric.

Code
  sens(hpc_cv, obs, pred, estimator = c("1", "2"))
Condition
  Error in `dplyr::summarise()`:
  i In argument: `.estimator = finalize_estimator(.data[["obs"]], .env[["estimator"]], .env[["name"]])`.
  Caused by error in `validate_estimator()`:
  ! `estimator` must be length 1, not 2.

Numeric matrix in numeric metric

Code
  rmse(solubility_test, a, prediction)
Condition
  Error in `dplyr::summarise()`:
  i In argument: `.estimate = fn(...)`.
  Caused by error in `validate_numeric_truth_numeric_estimate()`:
  ! `truth` should be a numeric vector, not a numeric matrix.

Code
  rmse(solubility_test, solubility, a)
Condition
  Error in `dplyr::summarise()`:
  i In argument: `.estimate = fn(...)`.
  Caused by error in `validate_numeric_truth_numeric_estimate()`:
  ! `estimate` should be a numeric vector, not a numeric matrix.

Factors with non identical levels

Code
  sens(df, x, y)
Condition
  Error in `dplyr::summarise()`:
  i In argument: `.estimate = fn(...)`.
  Caused by error in `validate_factor_truth_factor_estimate()`:
  ! `truth` and `estimate` levels must be equivalent.
  `truth`: a, b, c
  `estimate`: a, b

Multiple estimate columns for a binary metric

Code
  roc_auc(two_class_example, truth, Class1:Class2)
Condition
  Error in `dplyr::summarise()`:
  i In argument: `.estimate = fn(...)`.
  Caused by error in `validate_factor_truth_matrix_estimate()`:
  ! You are using a binary metric but have passed multiple columns to `...`.

1 estimate column for a multiclass metric

Code
  roc_auc(hpc_cv, obs, VF)
Condition
  Error in `dplyr::summarise()`:
  i In argument: `.estimate = fn(...)`.
  Caused by error in `validate_factor_truth_matrix_estimate()`:
  ! The number of levels in `truth` (4) must match the number of columns supplied in `...` (1).

truth and estimate of different lengths

Code
  rmse_vec(1:5, 1:6)
Condition
  Error in `validate_numeric_truth_numeric_estimate()`:
  ! Length of `truth` (5) and `estimate` (6) must match.

Missing arguments

Code
  sens(two_class_example)
Condition
  Error in `sens()`:
  ! Must select at least one item.

Code
  sens(two_class_example, truth)
Condition
  Error in `sens()`:
  ! Must select at least one item.

Table with bad format

Code
  sens(as.table(matrix(1:6, 2)))
Condition
  Error:
  ! the table must have nrow = ncol

Code
  sens(as.table(matrix(1:4, 2, dimnames = list(c("A", "B"), c("A", "C")))))
Condition
  Error:
  ! the table must the same groups in the same order