gausssmooth: Gaussian kernel smoother
In krehfeld/nest: Non-equally spaced time series analysis

Description Usage Arguments Value Note Author(s) References See Also Examples

Smoothing and detrending of arbitrarily sampled time series with a Gaussian smoother.

1	gausssmooth(tx = 1:length(x), x, h = 0.5)

`tx`	Observation time vector
`x`	Observations
`h`	Kernel width in time units.

A list with

`Xsmooth`	Smoothed time series
`detr`	Detrended time series

Legacy. Use gaussdetr or gaussbandpass now. Endpoints are currently not treated.

Kira Rehfeld

Rehfeld, K., Marwan, N., Heitzig, J., and Kurths, J.: Comparison of correlation analysis techniques for irregularly sampled time series, Nonlin. Processes Geophys., 18, 389-404, doi:10.5194/npg-18-389-2011, 2011.

gaussdetr,gaussbandpass

tx<-generate_t()
x<-sin(2*pi*tx/100)+sin(2*pi*tx/10)+rnorm(length(tx))
plot(tx,x)
lines(tx,gausssmooth(tx=tx,x=x,h=100/6)$Xsmooth,col="red")
lines(tx,gausssmooth(tx=tx,x=x,h=100/6)$detr,col="blue")
legend("topright",legend=c("original data","trend","residual"),col=c("black","red","blue"),lty=1)