kurtosis: Kurtosis

In LAPKB/npde: Normalised prediction distribution errors for nonlinear mixed-effect models

Kurtosis

Description

Computes the kurtosis.

Usage

kurtosis(x)

Arguments

x	a numeric vector containing the values whose kurtosis is to be computed. NA values are removed in the computation.

Details

If N = length(x), then the kurtosis of x is defined as:

N sum_i (x_i-mean(x))^4 (sum_i (x_i-mean(x))^2)^(-2) - 3

N sum_i (x_i-mean(x))^4 (sum_i (x_i-mean(x))^2)^(-2) - 3

Value

The kurtosis of x.

References

G. Snedecor, W. Cochran. Statistical Methods, Wiley-Blackwell, 1989

Examples

x <- rnorm(100)
kurtosis(x)

LAPKB/npde documentation built on Oct. 19, 2022, 2:10 p.m.