CI for the Population Median Difference of two Samples

Source: R/ci_location_shift.R

This function calculates bootstrap CIs for the population value of median(x) - median(y) by calling ci_quantile_diff().

ci_median_diff(
  x,
  y,
  probs = c(0.025, 0.975),
  type = "bootstrap",
  boot_type = c("bca", "perc", "norm", "basic"),
  R = 9999L,
  seed = NULL,
  ...
)

Arguments

x

A numeric vector.

y

A numeric vector.

probs

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

type

Type of CI. Currently, "bootstrap" is the only option.

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.

Examples

x <- 10:30
y <- 1:30
ci_median_diff(x, y, R = 999)  # Use larger value for R
#> 
#> 	Two-sided 95% bootstrap confidence interval for the population value of
#> 	median(x)-median(y) based on 999 bootstrap replications and the bca
#> 	method
#> 
#> Sample estimate: 4.5 
#> Confidence interval:
#>  2.5% 97.5% 
#>  -3.0  10.5 
#>