> [mailto:r-help-boun...@r-project.org] On Behalf Of Ralf B
> Sent: Tuesday, May 11, 2010 3:17 AM
> To: r-help@r-project.org
> Subject: [R] Smoothing Techniques - short stepwise functions
> with spikes
>
> R Friends,
>
> I have data from which I would like to learn
This removes runs of length 1 and 2. It replaces the values in any
such run with NA and then uses na.locf from the zoo package to fill
those NA's by carrying forward the last occurrence of a non-NA. In
this example the run consisting of a single 2, the run consisting of
two 3's and the run consi
Hi Ralf,
I can't offer you many resources, but the few I came across are:
1) loess (or the older version: lowess)
2) smooth
3) rollapply (from the zoo pacakge)
I used a combination of 1 and 3 when creating an R implementaion for a
(simplistic) quantile loess, you might find the code useful:
http:
R Friends,
I have data from which I would like to learn a more general
(smoothened) trend by applying data smoothing methods. Data points
follow a positive stepwise function.
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x
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