similar to: book and website announcement

Will the real book "S Programming" please stand up. As I searched for this book both on AMAZON.COM and AMAZON.CO.UK, I found two different versions. On AMAZON.COM my search reveals S Programming (Statistics and Computing) by Brian D. Ripley, William N. Venables. Our Price: $59.95. Availability: Usually ships within 24 hours. Hardcover - 264 pages 1st edition (May 15, 2000) Springer

Hi, see these links: http://www.liacc.up.pt/~ltorgo/DataMiningWithR/ http://sawww.epfl.ch/SIC/SA/publications/FI01/fi-sp-1/sp-1-page45.html Brian D. Ripley, Datamining: Large Databases and Methods, in Proceedings of "useR! 2004 - The R User Conference", may 2004 http://www.ci.tuwien.ac.at/Conferences/useR-2004/Keynotes/Ripley.pdf looking for a book I suggest: Trevor Hastie , Robert

Dear all, S+Finmetrics has a number of very specilised functions. I am particularly interested in the estimation of cointegrated VARs (chapter 12 of Zivot and Wang). In this context the functions coint() and VECM() stand out. I looked at package "dse1", but found no comparable functionality. Are there any other packages you could point me to? In general, are there efforts for

Cologne, 10.12.00 Dear Sir, Dear Madam, We are concerned about the possibility that the European Commission might introduce software patenting into the European Community because we think this will harm our profession. We make our living on data management and statistical analyses. Modern statistics crucially depends on algorithms [cf. Venables, W. N., & Ripley, B. D. (1999). Modern applied

Dear all, Using the quasibinomial and quasipoisson families results in no AIC being calculated. However, a quasi AIC has actually been defined by Lebreton et al (1992). In the (in my opinon, at least) very interesting book by Burnham and Anderson (1998,2002) this QAIC (and also QAICc) is covered. Maybe this is something that could be implemented in R. Take a look at page 23 in this pdf:

Hi, I apologize in advance if this is the wrong area to post this message. I would like to know if there is an "R" equivalent for the "S+finMetrics" package? I'd like to be able to use "R" to go through the examples provided in the book "Modeling Financial Time-Series with S-Plus" (E. Zivot and J. Wang). I was told that "R" and

Greetings R Help Group, How does one effect a multiphasic logistic growth model with 4 phases (e.g. Koops 1986; Weigel, Craig, Bidwell and Bates 1992; Grossman and Koops 2003) with R. Before writing to the group, the R help archives were searched, the web was searched with Google, Venables and Ripley 2002 was consulted, Pinheiro and Bates 2000 was consulted, Bates and Watts 2007 was bought and

Hi Thomas, see these papers or books (some are available on the web): Diego Kuonen, Introduction au data mining avec R : vers la reconqu??te du `knowledge discovery in databases' par les statisticiens. Bulletin of the Swiss Statistical Society, 40:3-7, 2001. Consultabile all??indirizzo web: http://www.statoo.com/en/publications/2001.R.SSS.40/ Diego Kuonen and Reinhard Furrer, Data mining

Hi, Can anyone tell me what's wrong with the function below (I'm new to R) generator <- function(n, seed) { .Random.seed <<- seed data.1 <- rnorm(n)-1 data.2 <- rnorm(n)+2 data.3 <- runif(n) <= 0.6 data <- data.1*data.3 + data.2*(1-data.3) data } seed <- c(61,40,6,40,55,2,44,30,20,56,41,1) dat.mixed <- sort(generator(100,seed)) Error

Dear R gurus, I have some climatic data for a region of the world. They are monthly averages 1950 -2000 of precipitation (12 months), minimum temperature (12 months), maximum temperature (12 months). I have scaled them to 2 km x 2km cells, and I have around 75,000 cells. I need to feed them into a statistical model as co-variates, to use them to predict a response variable. The climatic

To the R users community: (We apologize for multiples copies) (Please distribute) --------------------------------------------------------------------------- 1st Call for Papers - 2nd International Symposium on Distributed Computing and Artificial Intelligence (DCAI'09) June 10th - 12th , 2009 - Salamanca - Spain http://dcai.usal.es/ The International Symposium on Distributed Computing and

> I'm definitely interested in improving coalescing and it sounds like > this would fall under that work. Do you have references to papers > that talk about the various algorithms? Some suggestions: @InProceedings{Budimlic02, AUTHOR = {Zoran Budimlic and Keith D. Cooper and Timothy J. Harvey and Ken Kennedy and Timothy S. Oberg and Steven W. Reeves}, YEAR =

Greetings, If this is not the appropriate place to post this question please let me know where to post it. I have a package under development which fits models of the form $$ f(t)=\sum_i B_iG_i(t,\omega) $$ depending on a parameter vector $\omega$ of arbitrary dimension to data (one dimensional time series) in the general framework of the data = deterministic signal + Gaussian noise in the

Short course: Statistical Learning and Data Mining Trevor Hastie and Robert Tibshirani, Stanford University Sheraton Hotel Palo Alto, CA Feb 26-27, 2004 This two-day course gives a detailed overview of statistical models for data mining, inference and prediction. With the rapid developments in internet technology, genomics and other high-tech industries, we rely increasingly more on data

Short course: Statistical Learning and Data Mining Trevor Hastie and Robert Tibshirani, Stanford University Georgetown University Conference Center Washington DC September 20-21, 2004 This two-day course gives a detailed overview of statistical models for data mining, inference and prediction. With the rapid developments in internet technology, genomics and other high-tech industries, we

Short course: Statistical Learning and Data Mining Trevor Hastie and Robert Tibshirani, Stanford University Sheraton Hotel, Palo Alto, California February 24 & 25, 2005 This two-day course gives a detailed overview of statistical models for data mining, inference and prediction. With the rapid developments in internet technology, genomics and other high-tech industries, we rely

Dr. Frank E. Harrell, Jr., Professor and Chair of the Department of Biostatistics at Vanderbilt University is giving a one-day workshop on Regression Modeling Strategies on Friday, April 29, 2005. Analyses of the example datasets use R/S-Plus and make extensive use of the Hmisc library written by Professor Harrell.The workshop is sponsored by the Southern California Chapter of the American

Dear All, We are happy to announce the release of the new version of DEoptim (version 2.0-0) which is now available from CRAN. The DEoptim package [3] performs Differential Evolution (DE) minimization, a genetic algorithm-based optimization technique [2,3]. This allows robust minimization over a continuous (bounded or not) domain. The new DEoptim function calls a C implementation of the DE

Dear All, We are happy to announce the release of the new version of DEoptim (version 2.0-0) which is now available from CRAN. The DEoptim package [3] performs Differential Evolution (DE) minimization, a genetic algorithm-based optimization technique [2,3]. This allows robust minimization over a continuous (bounded or not) domain. The new DEoptim function calls a C implementation of the DE

You wrote: Ø Dear All, Ø Can anyone provide me with reference notes(or steps) towards analysis of?? (un)balanced panel data in R. Ø Thank you! The "plm" package does panel data analysis in R. See the vignette at: cran.r-project.org/web/packages/plm/vignettes/plm.pdf. There are other similar articles by the same authors, Yves Croissant and Giovanni Millo, and one of these is the