Pivot a column containing quantile_pred
longer
Source: R/pivot_quantiles.R
pivot_quantiles_longer.Rd
A column that contains quantile_pred
will be "lengthened" with
the quantile levels serving as 1 column and the values as another. If
multiple columns are selected, these will be prefixed with the column name.
Arguments
- .data
A data frame, or a data frame extension such as a tibble or epi_df.
- ...
<
tidy-select
> One unquoted expressions separated by commas. Variable names can be used as if they were positions in the data frame. Note that only one variable can be selected for this operation.
Examples
d1 <- quantile_pred(rbind(1:3, 2:4), 1:3 / 4)
d2 <- quantile_pred(rbind(2:4, 3:5), 2:4 / 5)
tib <- tibble(g = c("a", "b"), d1 = d1, d2 = d2)
pivot_quantiles_longer(tib, "d1")
#> # A tibble: 6 × 4
#> g d2 d1_value d1_quantile_level
#> <chr> <qtls(3)> <int> <dbl>
#> 1 a [2.5] 1 0.25
#> 2 a [2.5] 2 0.5
#> 3 a [2.5] 3 0.75
#> 4 b [3.5] 2 0.25
#> 5 b [3.5] 3 0.5
#> 6 b [3.5] 4 0.75
pivot_quantiles_longer(tib, dplyr::ends_with("1"))
#> # A tibble: 6 × 4
#> g d2 d1_value d1_quantile_level
#> <chr> <qtls(3)> <int> <dbl>
#> 1 a [2.5] 1 0.25
#> 2 a [2.5] 2 0.5
#> 3 a [2.5] 3 0.75
#> 4 b [3.5] 2 0.25
#> 5 b [3.5] 3 0.5
#> 6 b [3.5] 4 0.75
pivot_quantiles_longer(tib, d2)
#> # A tibble: 6 × 4
#> g d1 d2_value d2_quantile_level
#> <chr> <qtls(3)> <int> <dbl>
#> 1 a [2] 2 0.4
#> 2 a [2] 3 0.6
#> 3 a [2] 4 0.8
#> 4 b [3] 3 0.4
#> 5 b [3] 4 0.6
#> 6 b [3] 5 0.8