loess.rpatrec: Use the inbuilt function loess to smooth time series data.
In maiers94/rpatrec: Recognising Visual Charting Patterns in Time Series Data

Description Usage Arguments Details Value Examples

Use local regression to fit a global non-parametric model to the data. If the span is smaller than 1 the regression is truly local, if it is larger than 1 all data points in the sample are taken into account

1	loess.rpatrec(input, span = 0.75, ...)

`input`	Time series data passed to be smoothed
`span`	The main smoothing parameter.
`...`	Optional: Other arguments passed to loess

For an overview of the package capabilities, click here rpatrec. This function is purely included to provide the standard interface coherent with other smoothers to the user.

Smoothed time series data only, no additional output.

## 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 <- loess.rpatrec(b)

## End(Not run)