hai_skewness_vec: Compute Skewness of a Vector

In healthyR.ai: The Machine Learning and AI Modeling Companion to 'healthyR'

Compute Skewness of a Vector

Description

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

⁠((1/n) * sum(x - mu})^3) / ((()1/n) * sum(x - mu)^2)^(3/2)⁠

Usage

hai_skewness_vec(.x)

Arguments

.x	A numeric vector of length four or more.

Details

A function to return the skewness of a vector.

Value

The skewness of a vector

Author(s)

Steven P. Sanderson II, MPH

See Also

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

Other Vector Function: hai_fourier_discrete_vec(), hai_fourier_vec(), hai_hyperbolic_vec(), hai_kurtosis_vec(), hai_scale_zero_one_vec(), hai_scale_zscore_vec(), hai_winsorized_move_vec(), hai_winsorized_truncate_vec()

Examples

hai_skewness_vec(rnorm(100, 3, 2))

healthyR.ai documentation built on April 3, 2023, 5:24 p.m.