summ_quantile {pdqr} | R Documentation |
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))
[Package pdqr version 0.3.1 Index]