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

From: Jon Toledo <tintin_jb_at_hotmail.com>
Date: Fri, 18 Mar 2011 03:45:51 +0100

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.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]]
                                               

        [[alternative HTML version deleted]]



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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 - 02:51:00 GMT

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