On Fri, 2007-04-20 at 12:13 -0400, Fred Bacon wrote:
Ideally, it would work like this:
The free VMware player is installed on each of the lab computers.
The lab manager uses a licensed copy of VMware Workstation to create
a clean image of a computer.
You can use the open
2. I do most of my work in R using Emacs and ESS. That means that I
keep a file in an emacs window and I submit it to R one line at a
time or one region at a time, making corrections and iterating as
needed. When I am done, I just save the file with the last,
working, correct
website for the
students to refer back to (rather than them having to write down every command
you type/paste in).
From: [EMAIL PROTECTED] on behalf of Giovanni Petris
Sent: Fri 4/20/2007 5:29 PM
To: r-help@stat.math.ethz.ch
Subject: Re: [R] Suggestions for statistical
Subject: [R] Suggestions for statistical computing course
Dear R-helpers,
I am planning a course on Statistical Computing and Computational
Statistics for the Fall semester, aimed at first year Masters students
in Statistics. Among the topics that I would like to cover are linear
algebra related
I really like John Monahan's Numerical Methods of Statistics (Cambridge
University Press).
As to running/editing R scripts, you may want to look into JGR. The
built-in editor is not as smart as ESS in some respect, but smarter
than ESS in others. The only thing that keep me from using it
2. I do most of my work in R using Emacs and ESS. That means that I
keep a file in an emacs window and I submit it to R one line at a
time or one region at a time, making corrections and iterating as
needed. When I am done, I just save the file with the last,
working, correct
On 4/20/2007 9:34 AM, Giovanni Petris wrote:
Dear R-helpers,
I am planning a course on Statistical Computing and Computational
Statistics for the Fall semester, aimed at first year Masters students
in Statistics. Among the topics that I would like to cover are linear
algebra related to
Giovanni Petris [EMAIL PROTECTED] wrote:
2. I do most of my work in R using Emacs and ESS. That means that I
keep a file in an emacs window and I submit it to R one line at a
time or one region at a time, making corrections and iterating as
needed. When I am done, I just save the
--- Ravi Varadhan [EMAIL PROTECTED] wrote:
Hi Giovanni,
I have been quite satisfied with Tinn-R
(http://www.sciviews.org/Tinn-R/ ) in a Windows
environment.
It is small fast and I can run both it and R from a
USB if I need a portable setup.
2. I do most of my work in R using Emacs
Dear R-helpers,
I am planning a course on Statistical Computing and Computational
Statistics for the Fall semester, aimed at first year Masters students
in Statistics. Among the topics that I would like to cover are linear
algebra related to least squares calculations, optimization and
On Fri, 2007-04-20 at 16:02 +0200, ONKELINX, Thierry wrote:
While I am looking for simple and effective solutions that do not
require installing emacs in our computer lab, the answer you
should teach your students emacs/ess on top of R is perfecly
acceptable.
Dear Duncan and Giovanni,
-Original Message-
From: [EMAIL PROTECTED]
[mailto:[EMAIL PROTECTED] On Behalf Of Duncan Murdoch
Sent: Friday, April 20, 2007 10:13 AM
To: Giovanni Petris
Cc: r-help@stat.math.ethz.ch
Subject: Re: [R] Suggestions for statistical computing course
On 4
Giovanni Petris wrote:
Dear R-helpers,
I am planning a course on Statistical Computing and Computational
Statistics for the Fall semester, aimed at first year Masters students
in Statistics. Among the topics that I would like to cover are linear
algebra related to least squares calculations,
Thanks to everybody who responded to my query. I got many useful
suggestions about books and editors, plus notes and other material
online.
Summarizing, the books suggested were
- Monahan, Numerical Methods of Statistics
- Lange, Numerical analysis for statisticians
In terms of Editors,
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