Essentially, this is a more strict wrapper of `as_q(f)(probs)`

. If any value
in `probs`

is outside of segment \[0; 1\], an error is thrown.

`summ_quantile(f, probs)`

f | A pdqr-function representing distribution. |
---|---|

probs | Vector of probabilities for which quantiles should be returned. |

A numeric vector of the same length as `probs`

representing
corresponding quantiles.

Other summary functions:
`summ_center()`

,
`summ_classmetric()`

,
`summ_distance()`

,
`summ_entropy()`

,
`summ_hdr()`

,
`summ_interval()`

,
`summ_moment()`

,
`summ_order()`

,
`summ_prob_true()`

,
`summ_pval()`

,
`summ_roc()`

,
`summ_separation()`

,
`summ_spread()`

```
d_norm <- as_d(dnorm)
probs <- c(0.25, 0.5, 0.75)
all.equal(summ_quantile(d_norm, probs), as_q(d_norm)(probs))#> [1] TRUE
```