Message-ID: <4228345E.70102@hotmail.com>
Date: 2005-03-04T10:11:42Z
From: Angel Lopez
Subject: Reconstructing Datasets
In-Reply-To: <Pine.LNX.4.44.0503012029010.4905-100000@gw.env.leeds.ac.uk>
Hi Laura,
You might want to have a look at function decevf in package pastecs.
It uses eigenvector filtering to reconstruct a signal using only the
most representative eigenvectors.
It is applied for time series but you could easily modify the code to
use it for spatial data also.
Bests,
Angel
Laura Quinn wrote:
> Hi,
>
> Is it possible to recreate "smoothed" data sets in R, by performing a PCA
> and then reconstructing a data set from say the first 2/3 EOFs?
>
> I've had a look in the help pages and don't seem to find anything
> relevant.
>
> Thanks in advance,
> Laura
>
> Laura Quinn
> Institute of Atmospheric Science
> School of Earth and Environment
> University of Leeds
> Leeds
> LS2 9JT
>
> tel: +44 113 343 1596
> fax: +44 113 343 6716
> mail: laura at env.leeds.ac.uk
>
> ______________________________________________
> R-help at stat.math.ethz.ch mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
>
> .
>