tidy_skewness_vec: Compute Skewness of a Vector

In TidyDensity: Functions for Tidy Analysis and Generation of Random Data

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

tidy_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 Statistic: ci_hi(), ci_lo(), tidy_kurtosis_vec(), tidy_range_statistic(), tidy_stat_tbl()

Other Vector Function: bootstrap_p_vec(), bootstrap_q_vec(), cgmean(), chmean(), ckurtosis(), cmean(), cmedian(), csd(), cskewness(), cvar(), tidy_kurtosis_vec(), tidy_scale_zero_one_vec()

Examples

tidy_skewness_vec(rnorm(100, 3, 2))

TidyDensity documentation built on Nov. 2, 2023, 5:38 p.m.