wrm.filter(y, width, weight = 1, del = floor(width/2), extrapolate = TRUE)
wrm.filter
returns an object of class
wrm.filter
. An
object of class wrm.filter
is a list containing the
following components:plot
returns a plot
showing the original time series with the filtered output.del
roughly
equal to width/2
. If the focus is rather on smoothing than on
signal extraction, the Epanechnikov kernel should be used rather than
the triangular kernel. In this case one can also use directly function wrm.smooth
.dw.filter
, hybrid.filter
, wrm.smooth
data(Nile)
nile <- as.numeric(Nile)
obj <- wrm.filter(nile, width=11)
plot(obj)
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