At 11:59 PM 8/4/2005, C NL wrote:
Hi,
I'm a newbie in R and don't much aobut all the
modules and their capabilities, but I'm interested in
solving a problem about a discriminant analysis done
with SPSS tool. The thing is that I would like to make
a discrimant analysis similar to the one
, you have a pretty potent set of tools. If you really
want CART, you need to contact Salford Systems for their
implementation and pay their very expensive licensing fees.
Dr. Marc R Feldesman
Professor Chair Emeritus
Department of Anthropology
Portland State University
Portland, OR 97207
Please
for any help and/or suggestions for solving this mystery.
Dr. Marc R. Feldesman
Professor and Chairman Emeritus
Anthropology Department - Portland State University
email: [EMAIL PROTECTED]
email: [EMAIL PROTECTED]
fax:503-725-3905
E-mail is not to be used to pass on factual information or important
At 01:59 PM 1/28/2005, Peter Dalgaard wrote:
Marc R. Feldesman [EMAIL PROTECTED] writes:
At the risk of being flamed for mortal stupidity, I'm trying to figure
out what could have possibly changed (at my end almost certainly) that
make Brian Ripley's posts (in particular) not show up on my
At 08:45 AM 7/12/2004, marzban wrote:
Hello,
For a simple problem with 1 predictor (x) and 2 classes (0 and 1), the
linear discriminant function should be something like
2(mu_0 - mu_1)/var x+x-independent-terms
where var is the common variance.
Question 1: Why does lda() report only
to the project. Whining and complaining won't get
you anywhere. SAS *is* faster at I/O. So what?
Dr. Marc R. Feldesman
Professor and Chairman Emeritus
Anthropology Department - Portland State University
email: [EMAIL PROTECTED]
email: [EMAIL PROTECTED]
fax:503-725-3905
Don't knock on my door if you
At 10:11 AM 6/14/2004, Sven Hartenstein wrote:
Hi,
I would like to extract the p-value of the F-statistic of a aov-object's
summary.
Getting the p-value is so easy with t-tests (t.test(g1, y = g2,
var.equal = FALSE)$p.value), but I couldn't find anything like that for
ANOVAs.
Any help
.
Thanks.
Dr. Marc R. Feldesman
Professor and Chairman Emeritus
Anthropology Department - Portland State University
email: [EMAIL PROTECTED]
email: [EMAIL PROTECTED]
fax:503-725-3905
Don't knock on my door if you don't know my Rottweiler's name Warren Zevon
Its midnight and I'm not famous yet
At 12:00 PM 5/30/2004, Roger D. Peng wrote:
Is it possible you have a locally modified version of
summary.lm() lying around. Here are the first few lines of
summary.lm() in R 1.9.0:
That was the problem. But since I've never even looked at summary.lm until
the past few days when this error
At 05:16 AM 4/2/2004, Carlisle Thacker watched in amazement as electrons
turned into magical things called words:
Marc,
It is very difficult for the eye to distinguish even 25 symbols or 25
colors on the same plot. I find that my brain tends to saturate at 5 of
each, and using 5 symbols each
Is there any effective way to get distinct geometric plotting symbols and
colors for plots involving more than 25 groups?
Thanks.
Dr. Marc R. Feldesman
Professor and Chairman Emeritus
Anthropology Department - Portland State University
email: [EMAIL PROTECTED]
email: [EMAIL PROTECTED]
fax
At 12:28 PM 3/17/2004, Ed L Cashin wrote:
I hope this response isn't indicative of the speed with which gmane posts
messages. I think this entire thread was more than 7 or 8 months ago,
possibly longer.
Roger D. Peng [EMAIL PROTECTED] writes:
Marc R. Feldesman wrote:
I agree with you
At 04:23 AM 1/23/2004, Mike White wrote:
With predict.lda the posterior probabilities only relate to the existing
Class definitions. This is fine for Class definitions like gender but it is
a problem when new data does not necessarily belong to an existing Class.
Is there a classification method
At 07:58 AM 1/21/2004, Dave Andrae wrote:
I seem to remember, from a course in which I used SPSS for LDA, that
Box's M is an ultra-sensitive test as well and that in almost all
practical applications it's not useful, so Prof. Ripley's comments
apply to that test, too.
Professor Ripley is quite
At 06:13 PM 12/19/2003, Yun-Fang Juan wrote:
Hi,
I try to run the linear discriminant analysis using the following command
but got an error like the following.
lda1 - lda(retention ~ . , data=RetentionDF40[1:1,]);
What error did you get? Did you read the help file for lda? What version
of
At 10:09 PM 7/12/2003, dg gdf wrote:
I am student in Iran(IUT) that work on R software as
my project. I need to some data frames in version
1.7.0, but these are not available. please help me.
__
It isn't clear exactly what help you need. We are most
At 07:17 AM 5/30/2003, Mike Prager wrote:
I probably shouldn't suggest this, because I can't volunteer to implement
it. However, I bring it up in the hopes that if (1) others agree and (2)
the R core group think it a good idea that a suitable volunteer will come
forward.
I am finding that the
might be very different
from what you think it is. If you've done any programming at all, this is
one of the first lessons you learn about real numbers and computers.
Dr. Marc R. Feldesman
Professor and Chairman Emeritus
Anthropology Department - Portland State University
email: [EMAIL
At 01:10 PM 2/1/2003, Roland Goecke wrote:
Hi,
Is there a simple way to get the discriminant score or do I have to
manually multiply the coefficients with the data?
predict.lda will generate an object with a scores component, among other
things.
Try ?predict.lda
An Introduction to R, The R Core Team
An Introduction to Statistics with R, Peter Dalgaard
Modern Applied Statistics with S, W.N. Venables and B.D. Ripley, 4th Edition.
And many others with links on http://cran.r-project.org/ under
Contributed|Documentation
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