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....montana.edu/Rweb/Resources.html We have used Rweb in most of our introductory statistics courses, and a few advanced courses, with great success. It has significantly reduced the problems we used to have in the computer labs. Any comments, suggestions, questions, or criticisms are welcome. Jeff Banfield ---------------------------------------------------------------------- Jeff Banfield Department of Mathematical Sciences Montana State University Bozeman, MT 59717 Phone: (406) 994-5368 Fax: (406) 994-5456 jeff at math.montana.edu http://www.math.montana.edu/~umsfjban --------------------...

I ported Jeff Banfield's Rweb (http://www.math.montana.edu/Rweb/) to Windows. In the process, I dropped some things (non-JavaScript version, Rweb modules and data sets), but also simplified the installation process by removing the dependency on NetPBM. A Ghostscript dependency remains, however. See http://www....

...uster) Kaufman, L. and Rousseeuw, P.J. (1990). Finding Groups in Data: An Introduction to Cluster Analysis. Wiley, New York. Struyf, A., Hubert, M. and Rousseeuw, P.J. (1997). Integrating Robust Clustering Techniques in S-PLUS, Computational Statistics and Data Analysis, 26, 17-37. (mclust) D. Banfield and A. E. Raftery, Model-based Gaussian and non-Gaussian Clustering, Biometrics, 49:803-821 (September 1993). C. Fraley, Algorithms for Model-based Gaussian Hierarchical Clustering, Technical Report No. 311, Department of Statistics, University of Washington (October 1996), to appear in SIAM Jour...

...sers). I'm trying to make use of the MCLUST package by C. Fraley and A. Raftery. My problem is trying to figure out how the (model) identifier (e.g, EII, VII, VVI, etc.) relates to the covariance matrix. The parameterization of the covariance matrix makes use of the method of decomposition in Banfield and Rraftery (1993) and Fraley and Raftery (2002) where Sigma_k = lambda_k*D_k*A_k*D_k^' where Sigma_k is the covariance matrix for the kth (k=1,...,G), lambda_k is the kth groups constant of proportionality, D_k is the orthogonal matrix of eigenvectors for the kth group, and A_k is a diago...

Hello, how is, for example, the Schwarz criterion is defined for kmeans? It should be something like: k <- 2 vars <- 4 nobs <- 100 dat <- rbind(matrix(rnorm(nobs, sd = 0.3), ncol = vars), matrix(rnorm(nobs, mean = 1, sd = 0.3), ncol = vars)) colnames(dat) <- paste("var",1:4) (cl <- kmeans(dat, k)) schwarz <- sum(cl$withinss)+ vars*k*log(nobs) Thanks

Hello- Does anyone have a recommendation on how to call R from perl? I'm using the IPC::Open2 module, and running R with the --slave and --quiet options. The problem is that I can't predict how many lines of output I should try to read for each command-- if any! The ultimate goal is to use perl to provide a form-driven web interface, but have R do the underlying calculations. Thanks

Hi, I want to call R from Perl to generate plots to be displayed on a webpage. What I found out so far is that there is a package called RSPerl on www.omegahat.org which should do what I need. However in the description it says it has been tested with R 1.3.* the latest. I'm using R 1.8.0 right now so the package seems rather unmaintained. It is not easy for me to just install it and see

The standard R boxplot appears to use quartiles to determine the height of the rectangles and a range parameter - RNG - (default=1.5 I think) that determines the length of the whiskers as <= RNG x Interquartile Range. Is it possible to instead define the range as extending to the 95th percentile? If so, how would this be done? nb, I'm plotting multiple boxplots on a single chart so a

All, Recently I ran across a URL documenting published research using R: http://www.cgd.ucar.edu/ccr/ammann/millennium/CODES_MBH.html A note on the site indicates that the code is being revised. The code and data are provided, so that one could reproduce the results without having to buy a proprietary software program. In poking around the R website it is clear that a lot of thought has gone

Greetings. This is very basic but we can't figure it out. The following simple code counts how many values land in the "tail" (below a quantile) of a standardized normal distribution of random numbers. First two commands are inputs: > c <-0.05 > i <-2500 Second two commands are formulas I want to repeat many times (sort of like an Excel/VBA macro) using those same

here is another question (kurt already knows about it). i would like to do a client server version of R where the server can run on a unix box and the client is excel ond a win machine. the easiest solution would be running a stdin-stdout version of the server through inetd. but this is vulnerable. so what is needed is a sandbox version of the server, where no acrtive access to the file system is

Hi, I'd like to execute simple commands and functions in R through a website, is there any service like this somewhere? I only found http://www.osvisions.com/r-online/ but it does not work (last update 2003) and the links to releated websites only give errors (if I calculate 7+3). Thanks for help & hints, Thomas

Take a look at Rweb from Jeff Banfield (http://www.math.montana.edu/Rweb/) or Rcgi which is a CGI WWW interface to R by Mark J Ray. This information is also mention in the FAQ. "Chris Milkosky"...

Dear developers, I wonder would you consider making a save to a graphics file format (as opposed to ps)? What prompts this is that we have just finished my wife's thesis using R heavily for stats and graphs. The combination of latex, bibtex and R generated .eps worked a treat and we were very pleased with both the final outcome and the efficiency of gernerating it, especially when all the