An excellent resource with many examples and R code is:
Mixed Effects Models in S and S-Plus by Jose C. Pinheiro, Douglas M. Bates
Dr. Francisco J. Zagmutt
College of Veterinary Medicine and Biomedical Sciences
Colorado State University
Matthew Bridgman wrote:
Can anyone recommend a good text
If your only interest is the quantile function, you may consider
implementing your own version in Pascal. Since R is open source you can
look at the source code here:
https://svn.r-project.org/R/trunk/src/library/stats/R/quantile.R
And use the code as a guideline (I recommend reading the GNU
Did you try to right click on the file, select Properties, and in the
Opens with dialog select change and then select R for windows GUI
front-end. Apply the changes, and now double (left) click on the
.Rdata file to see if it opens in R's GUI.
Cheers,
Francisco
Lucke, Joseph F wrote:
Dear Massimo
This site have some code that may help you to get started.
http://www.statistik.lmu.de/~hoehle/software/
Also if you want to take an agent-based approach, you may want to take a
look at the simecol package
Regards,
Francisco
Massimo Fenati wrote:
Thanks for your fast
Look at the functions tril() and triu() in the Matrix package
Regards
Francisco
Davendra Sohal wrote:
Hi all,
Here's an interesting (for me, at least!) problem I came across:
I have a correlation matrix, let's say with 6 variables, A to F, as column
headings and the same 6 as row headings.
Hi Deborah,
A very good source for hands-on information on mixed models in S is:
Mixed-effects models in S and S-PLUS by Pinheiro and Bates
Incidentally, it's available in your university's library
http://toroprod.library.utoronto.ca/uhtbin/cgisirsi/2XfWcMI0Ns/ROBARTS/140640080/2/1000
I
Try some of the threads at RSiteSearch(nomogram).
Cheers,
Francisco
Nguyen Dinh Nguyen wrote:
Dear R Users,
Do you have a sample code for developing a nomogram with competing-risks?
Any help is appreciated.
Kind regards,
ND Nguyen
__
There are several ways to do this, probably the easiest is to use
truehist from MASS. i.e
require(MASS)
par(mfrow=c(3,1)) #3 rows of histograms, one column
truehist(x,h=.05)
truehist(y,h=.05)
truehist(z,h=.05)
I hope this helps,
Francisco
--
Dr. Francisco J. Zagmutt
College of Veterinary
I am glad to help ;-)
Cheers,
Francisco
Milton Cezar Ribeiro wrote:
Francisco,
Thank you so much. It´s more than I need.
You help was of great value.
Kind regards,
Miltinho
Francisco J. Zagmutt [EMAIL PROTECTED] escreveu:
Oi Milton,
Is this what you are