kurtosis_vec: Compute Kurtosis of a Vector

In RandomWalker: Generate Random Walks Compatible with the 'tidyverse'

Compute Kurtosis of a Vector

Description

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.

Details

A function to return the kurtosis of a vector.

Value

The kurtosis of a vector

Author(s)

Steven P. Sanderson II, MPH

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()

Examples

set.seed(123)
kurtosis_vec(rnorm(100, 3, 2))

RandomWalker documentation built on Oct. 23, 2024, 5:07 p.m.