skewness: Skewness

In analyzer: Data Analysis and Automated R Notebook Generation

Description

skewness calculates the skewness

Usage

skewness(x, na.rm = T)

Arguments

x	a numeric vector, matrix or a data.frame
na.rm	(logical) Should missing values be removed?

Details

This function calculates the skewness of data which is a measure of the asymmetry of the probability distribution of a real-valued random variable about its mean. The formula used is:

\frac{E[(X-μ)^{3}]}{(E[(X-μ)^2])^\frac{3}{2}}

. This formula is the typical definition used in many older textbooks and wikipedia

Value

returns a single value if x is a vector, otherwise a named vector of size = ncol(x).

Examples

# for a single vector
skewness(mtcars$mpg)

# for a dataframe
skewness(mtcars)

analyzer documentation built on July 1, 2020, 10:02 p.m.