Re: [R] Spatial cluster analysis of continous outcome variable

From: David Winsemius <dwinsemius_at_comcast.net>
Date: Fri, 18 Mar 2011 09:48:46 -0400

On Mar 17, 2011, at 10:45 PM, Jon Toledo wrote:

> I read it but it said PDF file and Ps, didnīt specify which other
> files, so I attached a csv file, which I thought would work.

The last time I read it, it said .pdf and .txt. I doubt that it has changed since then. I admit that I originally thought that it meant any text-formatted files but I have learned that the server filter is very literal and it real means ".txt" extensions in the name. So text formatted files with .csv extentions are scrubbed.

The link you offer goes to a commercial site and it apparently interprets that link to mean that I intend to upload a file. It also tries to sell me a faster account.

-- 
David.



> I have uploaded the file in rapidhare (second option was putting on
> the web):
> http://rapidshare.com/files/453101614/Coordinates_and_values.csv
>
> Hope this works.
> Thanks for your interest.
>
> > From: dwinsemius_at_comcast.net
> > To: tintin_jb_at_hotmail.com
> > Subject: Re: [R] Spatial cluster analysis of continous outcome
> variable
> > Date: Thu, 17 Mar 2011 22:12:01 -0400
> >
> > No data came through. You probably didn't read the Posting Guide
> or if
> > you did you didn't read it closely enough.
> >
> > --
> > David.
> > On Mar 17, 2011, at 4:11 PM, Jon Toledo wrote:
> >
> > >
> > > I attach the data (csv format). There are the 3 coordinates,
> (but as
> > > there are not so many points I wanted two do 3 analysis in each of
> > > them collapsing one variable).There are two variables to study I
> > > have posted the data as a ratio between both states and as a
> > > percentage state between both states. The data are from different
> > > samples (and each sample has 3 or 6 measures).Thanks again.
> > >
> > >> From: marchywka_at_hotmail.com
> > >> To: tintin_jb_at_hotmail.com; r-help_at_r-project.org
> > >> Subject: RE: [R] Spatial cluster analysis of continous outcome
> > >> variable
> > >> Date: Thu, 17 Mar 2011 15:20:09 -0400
> > >>
> > >> Did you post your data or hypothetical data?
> > >> Usually that helps make your problem more clear and more
> interesting
> > >> ( likely to get a useful response to your post).
> > >>
> > >>
> > >>
> > >> ----------------------------------------
> > >> From: tintin_jb_at_hotmail.com
> > >> To: r-help_at_r-project.org
> > >> Date: Thu, 17 Mar 2011 17:38:14 +0100
> > >> Subject: [R] Spatial cluster analysis of continous outcome
> variable
> > >>
> > >>
> > >>
> > >> Dear R Users, R Core
> > >> Team,
> > >> I have a two dimensional space where I measure a numerical
> value in
> > >> two situations at different points. I have measured the change
> and
> > >> I would like to test if there are areas in this 2D-space where
> > >> there is a different amount of change (no change, increase,
> > >> decrease). I donīt know if itīs better to analyse the data just
> > >> with the coordinates or if its better to group them in
> > >> "pixels" (and obtain the mean value for each pixel) and then run
> > >> the cluster analysis. I would like to know if there is a package/
> > >> function that allows me to do these calculations.I would also
> like
> > >> to know if it could be done in a 3D space (I have collapsed the
> > >> data to 2D because I donīt have many points.
> > >> Thanks in advance
> > >>
> > >>
> > >>
> > >>
> > >>
> > >> J Toledo
> > >> [[alternative HTML version deleted]]
>
David Winsemius, MD West Hartford, CT ______________________________________________ R-help_at_r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Received on Fri 18 Mar 2011 - 13:53:55 GMT

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