summ_quantile: Summarize distribution with quantiles

In pdqr: Work with Custom Distribution Functions

Summarize distribution with quantiles

Description

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.

Usage

summ_quantile(f, probs)

Arguments

f	A pdqr-function representing distribution.
probs	Vector of probabilities for which quantiles should be returned.

Value

A numeric vector of the same length as probs representing corresponding quantiles.

See Also

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()

Examples

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))

pdqr documentation built on May 31, 2023, 8:48 p.m.