Summarize distribution with quantiles
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))
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