R: Statistical Moment

moment {e1071} | 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

### See Also

`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)

[Package e1071 version 1.7-3 Index]