# movmean

Moving mean

## Syntax

## Description

`M = movmean(`

returns
an array of local `A`

,`k`

)`k`

-point mean values, where each mean is calculated over
a sliding window of length `k`

across neighboring
elements of `A`

. When `k`

is odd,
the window is centered about the element in the current position.
When `k`

is even, the window is centered about the
current and previous elements. The window size is automatically truncated
at the endpoints when there are not enough elements to fill the window.
When the window is truncated, the average is taken over only the elements
that fill the window. `M`

is the same size as `A`

.

If

`A`

is a vector, then`movmean`

operates along the length of the vector`A`

.If

`A`

is a multidimensional array, then`movmean`

operates along the first dimension of`A`

whose size does not equal 1.

`M = movmean(___,`

specifies the
dimension of `dim`

)`A`

to operate along for any of the previous syntaxes.
For example, if `A`

is a matrix, then
`movmean(A,k,2)`

operates along the columns of
`A`

, computing the `k`

-element sliding mean
for each row.

`M = movmean(___,`

specifies
whether to include or omit `nanflag`

)`NaN`

values in `A`

.
For example, `movmean(A,k,"omitnan")`

ignores
`NaN`

values when computing each mean. By default,
`movmean`

includes `NaN`

values.

`M = movmean(___,`

specifies
additional parameters for the moving average using one or more name-value arguments.
For example, if `Name,Value`

)`x`

is a vector of time values, then
`movmean(A,k,"SamplePoints",x)`

computes the moving average
relative to the times in `x`

.

## Examples

## Input Arguments

## More About

## Extended Capabilities

## Version History

**Introduced in R2016a**