Summarize a distribution with a set of quantiles

This function takes a quantile_pred vector and returns the same type of object, expanded to include additional quantiles computed at probs. If you want behaviour more similar to stats::quantile(), then quantile(x,...) may be more appropriate.

Usage

extrapolate_quantiles(x, probs, replace_na = TRUE, ...)

Arguments

x

A vector of class quantile_pred.

probs

a vector of probabilities at which to calculate quantiles

replace_na

logical. If x contains NA's, these are imputed if possible (if TRUE) or retained (if FALSE).

...

additional arguments passed on to the quantile method

Value

a quantile_pred vector. Each element of x will now have a superset of the original quantile_values (the union of those and probs).

Examples

dstn <- quantile_pred(rbind(1:4, 8:11), c(.2, .4, .6, .8))
# extra quantiles are appended
as_tibble(extrapolate_quantiles(dstn, probs = c(.25, 0.5, .75)))
#> # A tibble: 14 × 3
#>    .pred_quantile .quantile_levels  .row
#>             <dbl>            <dbl> <int>
#>  1           1                0.2      1
#>  2           1.25             0.25     1
#>  3           2                0.4      1
#>  4           2.5              0.5      1
#>  5           3                0.6      1
#>  6           3.75             0.75     1
#>  7           4                0.8      1
#>  8           8                0.2      2
#>  9           8.25             0.25     2
#> 10           9                0.4      2
#> 11           9.5              0.5      2
#> 12          10                0.6      2
#> 13          10.8              0.75     2
#> 14          11                0.8      2