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Compute Kurtosis of a Vector

Source: R/vec-cumulative-functions.R
kurtosis_vec.Rd

This function takes in a vector as it's input and will return the kurtosis of that vector. The length of this vector must be at least four numbers. The kurtosis explains the sharpness of the peak of a distribution of data.

((1/n) * sum(x - mu})^4) / ((()1/n) * sum(x - mu)^2)^2

Usage

kurtosis_vec(.x)

Arguments

.x

A numeric vector of length four or more.

Value

The kurtosis of a vector

Details

A function to return the kurtosis of a vector.

See also

https://en.wikipedia.org/wiki/Kurtosis

Other Vector Function: cgmean(), chmean(), ckurtosis(), cmean(), cmedian(), crange(), csd(), cskewness(), cvar(), euclidean_distance(), rw_range(), skewness_vec()

Author

Steven P. Sanderson II, MPH

Examples

set.seed(123)
kurtosis_vec(rnorm(100, 3, 2))
#> [1] 2.838947