mav: Compute the moving average, exponential average or running...
In rpatrec: Recognising Visual Charting Patterns in Time Series Data

Description Usage Arguments Details Value Examples

Use this function to compute any of these three moving average methods. These are the simplest smoothers available in the package so it may be a good idea to start initial testing with this function.

1	mav(input, len = 10, method)

`input`	Time series data to use for computation
`len`	An integer to determine the number of datapoints used for computation
`method`	String. Determines the method of computation. Permissible values are `exponential`, `simple` and `median`

For an overview of the package capabilities, click here rpatrec.

Vector containing the smoothed time series data of length of input less length of len

## Not run: 
#create a standard HS pattern:
a <- generator()
#add noise to this patterns
b <- noise(a,'white',10)
#smooth to regain the signal
c <- kernel(b,2)

## End(Not run)
##simply test the smoother
mav(1:10,5,'exponential')