kurtosis {AMR}R Documentation

Kurtosis of the Sample

Description

Kurtosis is a measure of the "tailedness" of the probability distribution of a real-valued random variable. A normal distribution has a kurtosis of 3 and a excess kurtosis of 0.

Usage

kurtosis(x, na.rm = FALSE, excess = FALSE)

## Default S3 method:
kurtosis(x, na.rm = FALSE, excess = FALSE)

## S3 method for class 'matrix'
kurtosis(x, na.rm = FALSE, excess = FALSE)

## S3 method for class 'data.frame'
kurtosis(x, na.rm = FALSE, excess = FALSE)

Arguments

x

a vector of values, a matrix or a data.frame

na.rm

a logical to indicate whether NA values should be stripped before the computation proceeds

excess

a logical to indicate whether the excess kurtosis should be returned, defined as the kurtosis minus 3.

See Also

skewness()

Examples

kurtosis(rnorm(10000))
kurtosis(rnorm(10000), excess = TRUE)

[Package AMR version 2.1.1 Index]