ci_quantile {confintr} | R Documentation |
CI for a Population Quantile
Description
This function calculates CIs for a population quantile. By default, distribution-free CIs based on the binomial distribution are calculated, see Hahn and Meeker. Alternatively, bootstrap CIs are available (default "bca").
Usage
ci_quantile(
x,
q = 0.5,
probs = c(0.025, 0.975),
type = c("binomial", "bootstrap"),
boot_type = c("bca", "perc", "norm", "basic"),
R = 9999L,
seed = NULL,
...
)
Arguments
x |
A numeric vector. |
q |
A single probability value determining the quantile (0.5 for median). |
probs |
Lower and upper probabilities, by default |
type |
Type of CI. One of "binomial" (default), or "bootstrap". |
boot_type |
Type of bootstrap CI. Only used for |
R |
The number of bootstrap resamples. Only used for |
seed |
An integer random seed. Only used for |
... |
Further arguments passed to |
Value
An object of class "cint", see ci_mean()
for details.
References
Hahn, G. and Meeker, W. (1991). Statistical Intervals. Wiley 1991.
See Also
Examples
x <- 1:100
ci_quantile(x, q = 0.25)