tests/testthat/_snaps/bootci.md

In tidymodels/rsample: General Resampling Infrastructure

Upper & lower confidence interval does not contain NA

Code
  int_pctl(bt_resamples, res)
Condition
  Warning in `int_pctl()`:
  Recommend at least 1000 non-missing bootstrap resamples for term `mean`.
  Error in `int_pctl()`:
  ! All statistics have missing values.

Code
  int_t(bt_resamples, res)
Condition
  Warning in `int_t()`:
  Recommend at least 500 non-missing bootstrap resamples for term `mean`.
  Error in `int_t()`:
  ! All statistics have missing values.

Code
  int_bca(bt_resamples, res, .fn = bad_stats)
Condition
  Warning in `int_bca()`:
  Recommend at least 1000 non-missing bootstrap resamples for term `mean`.
  Error in `int_bca()`:
  ! All statistics have missing values.

Sufficient replications needed to sufficiently reduce Monte Carlo sampling Error for BCa method

Code
  int_pctl(bt_small, stats)
Condition
  Warning in `int_pctl()`:
  Recommend at least 1000 non-missing bootstrap resamples for term `mean`.
Output
  # A tibble: 1 x 6
    term  .lower .estimate .upper .alpha .method   
    <chr>  <dbl>     <dbl>  <dbl>  <dbl> <chr>     
  1 mean    9.97      10.0   10.1   0.05 percentile

Code
  int_t(bt_small, stats)
Condition
  Warning in `int_t()`:
  Recommend at least 500 non-missing bootstrap resamples for term `mean`.
Output
  # A tibble: 1 x 6
    term  .lower .estimate .upper .alpha .method  
    <chr>  <dbl>     <dbl>  <dbl>  <dbl> <chr>    
  1 mean    9.96      10.0   10.1   0.05 student-t

bad input

Code
  int_pctl(bt_small, id)
Condition
  Error in `int_pctl()`:
  ! `statistics` should select a list column of tidy results.

Code
  int_pctl(bt_small, junk)
Condition
  Error in `int_pctl()`:
  ! `statistics` should select a list column of tidy results.

Code
  int_pctl(bt_small, stats, alpha = c(0.05, 0.2))
Condition
  Error in `int_pctl()`:
  ! `alpha` must be a number, not a double vector.

Code
  int_t(bt_small, stats, alpha = "potato")
Condition
  Error in `int_t()`:
  ! `alpha` must be a number, not the string "potato".

Code
  int_bca(bt_small, stats, alpha = 1:2, .fn = get_stats)
Condition
  Error in `int_bca()`:
  ! `alpha` must be a number, not an integer vector.

Code
  int_pctl(vfold_cv(mtcars))
Condition
  Error in `UseMethod()`:
  ! no applicable method for 'int_pctl' applied to an object of class "c('vfold_cv', 'rset', 'tbl_df', 'tbl', 'data.frame')"

Code
  int_t(vfold_cv(mtcars))
Condition
  Error in `UseMethod()`:
  ! no applicable method for 'int_t' applied to an object of class "c('vfold_cv', 'rset', 'tbl_df', 'tbl', 'data.frame')"

Code
  int_bca(vfold_cv(mtcars))
Condition
  Error in `UseMethod()`:
  ! no applicable method for 'int_bca' applied to an object of class "c('vfold_cv', 'rset', 'tbl_df', 'tbl', 'data.frame')"

Code
  int_t(bad_bt_norm, stats)
Condition
  Error in `int_t()`:
  ! `statistics` should select a single column for the standard error.

Code
  int_bca(bt_norm, stats, .fn = no_dots)
Condition
  Error in `int_bca()`:
  ! `.fn` must have an argument `...`.

Code
  int_pctl(as.data.frame(bt_norm), stats)
Condition
  Error in `UseMethod()`:
  ! no applicable method for 'int_pctl' applied to an object of class "data.frame"

Code
  int_t(as.data.frame(bt_norm), stats)
Condition
  Error in `UseMethod()`:
  ! no applicable method for 'int_t' applied to an object of class "data.frame"

Code
  int_bca(as.data.frame(bt_norm), stats, .fn = get_stats)
Condition
  Error in `UseMethod()`:
  ! no applicable method for 'int_bca' applied to an object of class "data.frame"

Code
  int_t(bt_norm %>% dplyr::filter(id != "Apparent"), stats)
Condition
  Error in `UseMethod()`:
  ! no applicable method for 'int_t' applied to an object of class "c('tbl_df', 'tbl', 'data.frame')"

Code
  int_bca(bt_norm %>% dplyr::filter(id != "Apparent"), stats, .fn = get_stats)
Condition
  Error in `UseMethod()`:
  ! no applicable method for 'int_bca' applied to an object of class "c('tbl_df', 'tbl', 'data.frame')"

Code
  int_pctl(badder_bt_norm, bad_term)
Condition
  Error in `int_pctl()`:
  ! The tibble in `statistics` must have a column for 'term'.

Code
  int_t(badder_bt_norm, bad_err)
Condition
  Error in `int_t()`:
  ! `statistics` should select a single column for the standard error.

Code
  int_bca(badder_bt_norm, bad_est, .fn = get_stats)
Condition
  Error in `int_bca()`:
  ! The tibble in `statistics` must have a column for 'estimate'.

Code
  int_pctl(badder_bt_norm, bad_num)
Condition
  Error in `int_pctl()`:
  ! All statistics must be numeric.

checks for apparent bootstrap

Code
  int_t(rs_boot)
Condition
  Error in `int_t()`:
  ! The bootstrap resamples must include an apparent sample.
  i Please set `apparent = TRUE` in the `bootstraps()` function.

Code
  int_bca(rs_boot)
Condition
  Error in `int_bca()`:
  ! The bootstrap resamples must include an apparent sample.
  i Please set `apparent = TRUE` in the `bootstraps()` function.

checks input for statistics

Code
  int_t(rs_boot_missing_term, stats)
Condition
  Error in `int_t()`:
  ! The tibble in `statistics` must have a column for 'term'.

Code
  int_t(rs_boot_missing_estimate, stats)
Condition
  Error in `int_t()`:
  ! The tibble in `statistics` must have a column for 'estimate'.

Code
  int_t(rs_boot_missing_std_err, stats)
Condition
  Error in `int_t()`:
  ! `statistics` should select a single column for the standard error.

tidymodels/rsample documentation built on Sept. 29, 2024, 10:48 p.m.