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This function calculates bootstrap CIs for the population value of median(x) - median(y) by calling ci_quantile_diff().
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, ... )
An object of class "cint", see ci_mean() for details.
ci_mean()
A numeric vector.
Lower and upper probabilities, by default c(0.025, 0.975).
c(0.025, 0.975)
Type of CI. Currently, "bootstrap" is the only option.
Type of bootstrap CI. Only used for type = "bootstrap".
type = "bootstrap"
The number of bootstrap resamples. Only used for type = "bootstrap".
An integer random seed. Only used for type = "bootstrap".
Further arguments passed to boot::boot().
boot::boot()
x <- 10:30 y <- 1:30 ci_median_diff(x, y, R = 999) # Use larger value for R
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