[R] Spatial cluster analysis of continous outcome variable

[David Winsemius]

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

> I read it but it said PDF file and Ps, didn´t 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 don´t know if it´s 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 don´t have many points.
> > >> Thanks in advance
> > >>
> > >>
> > >>
> > >>
> > >>
> > >> J Toledo
> > >> [[alternative HTML version deleted]]
>

David Winsemius, MD
West Hartford, CT