# running_mean

From igraph v1.0.0
by Gabor Csardi

##### Running mean of a time series

`running_mean`

calculates the running mean in a vector with the given
bin width.

- Keywords
- manip

##### Usage

`running_mean(v, binwidth)`

##### Arguments

- v
- The numeric vector.
- binwidth
- Numeric constant, the size of the bin, should be meaningful,
ie. smaller than the length of
`v`

.

##### Details

The running mean of `v`

is a `w`

vector of length
`length(v)-binwidth+1`

. The first element of `w`

id the average of
the first `binwidth`

elements of `v`

, the second element of
`w`

is the average of elements `2:(binwidth+1)`

, etc.

##### Value

- A numeric vector of length
`length(v)-binwidth+1`

##### Examples

`running_mean(1:100, 10)`

*Documentation reproduced from package igraph, version 1.0.0, License: GPL (>= 2)*

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