[R] Spatial cluster analysis of continous outcome variable

[Jon Toledo]

Sorry again. I think if you click on the slow download is free.However I attach the CSV in txt.

> CC: r-help en r-project.org
> From: dwinsemius en comcast.net
> To: tintin_jb en hotmail.com
> Subject: Re: [R] Spatial cluster analysis of continous outcome variable
> 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, 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 en comcast.net
> > > To: tintin_jb en 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 en hotmail.com
> > > >> To: tintin_jb en hotmail.com; r-help en 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 en hotmail.com
> > > >> To: r-help en 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
> 
 		 	   		  
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