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This function calculates bootstrap CIs for the population skewness. By default, bootstrap type "bca" is used.
ci_skewness( 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. 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()
skewness(), ci_kurtosis()
skewness()
ci_kurtosis()
x <- 1:20 ci_skewness(x, R = 999) # Use larger R
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