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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" containing these components:
parameter: Parameter specification.
parameter
interval: CI for the parameter.
interval
estimate: Parameter estimate.
estimate
probs: Lower and upper probabilities.
probs
type: Type of interval.
type
info: Additional description.
info
A numeric vector.
Lower and upper probabilities, by default 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.
An integer random seed.
Further arguments passed to boot::boot().
boot::boot()
x <- rnorm(100) ci_IQR(x, R = 999) # Use larger R
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