# moment: Statistical Moment In e1071: Misc Functions of the Department of Statistics, Probability Theory Group (Formerly: E1071), TU Wien

## Description

Computes the (optionally centered and/or absolute) sample moment of a certain order.

## Usage

 `1` ```moment(x, order=1, center=FALSE, absolute=FALSE, na.rm=FALSE) ```

## Arguments

 `x` a numeric vector containing the values whose moment is to be computed. `order` order of the moment to be computed, the default is to compute the first moment, i.e., the mean. `center` a logical value indicating whether centered moments are to be computed. `absolute` a logical value indicating whether absolute moments are to be computed. `na.rm` a logical value indicating whether `NA` values should be stripped before the computation proceeds.

## Details

When `center` and `absolute` are both `FALSE`, the moment is simply `sum(x ^ order) / length(x)`.

## Author(s)

Kurt Hornik and Friedrich Leisch

`mean`, `var`
 ```1 2 3 4 5 6 7 8 9``` ```x <- rnorm(100) ## Compute the mean moment(x) ## Compute the 2nd centered moment (!= var) moment(x, order=2, center=TRUE) ## Compute the 3rd absolute centered moment moment(x, order=3, center=TRUE, absolute=TRUE) ```