package. For your application, it might be easier to use than R. Go
to https://www.geoda.uiuc.edu/.
Marshall Feldman
Center for Urban Studies and Research
The University of Rhode Island
-Original Message-
From: Milton Cezar Ribeiro [mailto:[EMAIL PROTECTED]
Sent
Besides symbols, size and color ramps come to mind
Marsh Feldman
-Original Message-
From: David Farrar [mailto:[EMAIL PROTECTED]
Sent: Thursday, November 02, 2006 9:37 PM
To: R-help@stat.math.ethz.ch
Subject: [R] maps. display hierararchical cluster analysis results on a map?
What kind of spatial sampling do you want to do: systematic, stratified,
simple random, etc.? What will you be sampling: points, lines, polygons,
etc.?
Marsh Feldman
URI Center for Urban Studies and Research
The University of Rhode Island
-Original Message-
From:
Hi,
I have two further comments/questions about large datasets in R.
1. Does R's ability to handle large datasets depend on the operating
system's use of virtual memory? In theory, at least, VM should make the
difference between installed RAM and virtual memory on a hard drive
primarily a
]
Sent: Tuesday, July 18, 2006 10:54 AM
To: Prof Brian Ripley
Cc: Marshall Feldman; r-help@stat.math.ethz.ch
Subject: Re: [R] FW: Large datasets in R
Hi,
I have a related question. How differently do other statistical
softwares handle large data?
The original post claims that 350 MB is fine on Stata
asked for clarification on the differences between R
and S, including the various incarnations of the latter.
Thanks again.
Marsh Feldman
Dr. Marshall Feldman
Acting Director of Research and Academic Affairs
Center for Urban Studies and Research
The University of Rhode Island
80 Washington
I'm surprised this isn't a FAQ, but I searched all over and could not find a
reference to it.
Chambers (1998) makes repeated references to Chapters in S (e.g., p. 6),
but I can find no reference to Chapters in R. Since Chapters were not used
in earlier versions of S, I'm wondering if R uses
