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This function calculates bootstrap CIs (by default "bca") for the population interquartile range (IQR), i.e., the difference between first and third quartile.
ci_IQR( x, 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 not used as the only type is "bootstrap".
"bootstrap"
Type of bootstrap CI c("bca", "perc", "norm", "basic").
The number of bootstrap resamples. Only used for type = "bootstrap".
type = "bootstrap"
An integer random seed. Only used for type = "bootstrap".
Further arguments passed to boot::boot().
boot::boot()
x <- rnorm(100) ci_IQR(x, R = 999) # Use larger R
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