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

 moment R Documentation

## Statistical Moment

### Description

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

### Usage

``````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`

### Examples

``````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)
``````

e1071 documentation built on Dec. 7, 2023, 8:15 p.m.