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 1.5-2

Index]