kurtosis: Kurtosis

In analyzer: Data Analysis and Automated R Notebook Generation

Description

kurtosis calculates the Kurtosis

Usage

kurtosis(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 kurtosis of data which is a measure of the "tailedness" of the probability distribution of a real-valued random variable. Like skewness, kurtosis describes the shape of a probability distribution. The formula used is:

\frac{E[(X-μ)^{4}]}{( E[(X-μ)^2])^{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
kurtosis(mtcars$mpg)

# for a dataframe
kurtosis(mtcars)

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