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: dwinsem...@comcast.net
> To: tintin...@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: marchy...@hotmail.com
> >> To: tintin...@hotmail.com; r-help@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...@hotmail.com
> >> To: r-help@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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