kurtosis: Kurtosis

In 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 = \mathrm{length}(x), then the kurtosis of x is defined as:

N sum_i (x_i-\mathrm{mean}(x))^4 (sum_i (x_i-\mathrm{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)

npde documentation built on May 29, 2024, 9:59 a.m.