This function calculates CIs for the population median by calling ci_quantile().

ci_median(
  x,
  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.

probs

Lower and upper probabilities, by default c(0.025, 0.975).

type

Type of CI. One of "binomial" (default), or "bootstrap".

boot_type

Type of bootstrap CI. Only used for type = "bootstrap".

R

The number of bootstrap resamples. Only used for type = "bootstrap".

seed

An integer random seed. Only used for type = "bootstrap".

...

Further arguments passed to boot::boot().

Value

An object of class "cint", see ci_mean() for details.

See also

Examples

ci_median(1:100)
#> 
#> 	Two-sided 95% binomial confidence interval for the population median
#> 
#> Sample estimate: 50.5 
#> Confidence interval:
#>  2.5% 97.5% 
#>    40    61 
#>