tests/testthat/_snaps/quantile-pred.md

In tidymodels/hardhat: Construct Modeling Packages

quantile_pred error types

Code
  quantile_pred(1:10, 1:4 / 5)
Condition
  Error in `quantile_pred()`:
  ! `values` must be a <matrix>, not an integer vector.

Code
  quantile_pred(matrix(1:20, 5), -1:4 / 5)
Condition
  Error in `quantile_pred()`:
  ! `quantile_levels` must be a number between 0 and 1, not the number -0.2.

Code
  quantile_pred(matrix(1:20, 5), 1:5 / 6)
Condition
  Error in `quantile_pred()`:
  ! The number of columns in `values` must be equal to the length of `quantile_levels`.

Code
  quantile_pred(matrix(1:20, 5), 4:1 / 5)
Condition
  Error in `quantile_pred()`:
  ! `quantile_levels` must be sorted in increasing order.

quantile levels are checked

Code
  quantile_pred(matrix(1:20, 5), quantile_levels = NULL)
Condition
  Error in `quantile_pred()`:
  ! `quantile_levels` cannot be "NULL".

Code
  quantile_pred(matrix(1:20, 5), quantile_levels = c(0.7, 0.7, 0.7))
Condition
  Error in `quantile_pred()`:
  ! Quantile levels should be unique.
  i The following value was repeated: 0.7.

Code
  quantile_pred(matrix(1:20, 5), quantile_levels = c(rep(0.7, 2), rep(0.8, 3)))
Condition
  Error in `quantile_pred()`:
  ! Quantile levels should be unique.
  i The following values were repeated: 0.7 and 0.8.

Code
  quantile_pred(matrix(1:20, 5), quantile_levels = c(0.8, 0.7))
Condition
  Error in `quantile_pred()`:
  ! `quantile_levels` must be sorted in increasing order.

extract_quantile_levels

Code
  extract_quantile_levels(1:10)
Condition
  Error in `extract_quantile_levels()`:
  ! `x` should have class <quantile_pred>.

quantile_pred formatting

Code
  v
Output
  <quantiles[5]>
  [1] [8.5]  [9.5]  [10.5] [11.5] [12.5]
  # Quantile levels: 0.2 0.4 0.6 0.8

Code
  quantile_pred(matrix(1:18, 9), c(1 / 3, 2 / 3))
Output
  <quantiles[9]>
  [1] [5.5]  [6.5]  [7.5]  [8.5]  [9.5]  [10.5] [11.5] [12.5] [13.5]
  # Quantile levels: 0.333 0.667

Code
  quantile_pred(matrix(seq(0.01, 1 - 0.01, length.out = 6), 3), c(0.2, 0.8))
Output
  <quantiles[3]>
  [1] [0.304] [0.5]   [0.696]
  # Quantile levels: 0.2 0.8

Code
  tibble(qntls = v)
Output
  # A tibble: 5 x 1
        qntls
    <qtls(4)>
  1     [8.5]
  2     [9.5]
  3    [10.5]
  4    [11.5]
  5    [12.5]

Code
  quantile_pred(m, 1:4 / 5)
Output
  <quantiles[5]>
  [1] [8.5]  [9.5]  [10.5] [11.5] [12.5]
  # Quantile levels: 0.2 0.4 0.6 0.8

Code
  one_quantile
Output
  <quantiles[5]>
  [1] 1 2 3 4 5
  # Quantile level: 0.556

Code
  tibble(qntls = one_quantile)
Output
  # A tibble: 5 x 1
       qntls
    <qtl(1)>
  1        1
  2        2
  3        3
  4        4
  5        5

Code
  quantile_pred(m, 5 / 9)
Output
  <quantiles[5]>
  [1]  1 NA  3  4  5
  # Quantile level: 0.556

Code
  format(v)
Output
  [1] "[1.72]"  "[0.568]" "[1.24]"  "[2.21]"  "[0.767]"

Code
  format(v, digits = 5)
Output
  [1] "[1.7154]"  "[0.56784]" "[1.2393]"  "[2.2062]"  "[0.76714]"

tidymodels/hardhat documentation built on Sept. 26, 2024, 11:38 p.m.