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...field and let us also know informally. Deadline for early registration: March 3, 2008 Deadline for submission of abstracts: April 30, 2008 Kind regards, Bettina and Achim -- ------------------------------------------------------------------- Bettina Gr?n Department f?r Statistik und Mathematik Wirtschaftsuniversit?t Wien Augasse 2-6 A-1090 Wien, ?sterreich Tel: (+43 1) 31336 5032 Fax: (+43 1) 31336 734 ------------------------------------------------------------------- -- ------------------------------------------------------------------- Bettina Gr?n Department f?r Statistik und Mathematik Wirtschafts...

...res[, choices])/lam), t(t(x$loadings[, : length of dimnames[1] not equal to array extent > How do I proceed? Thanks in advance! Wolfgang Koller ------------------------------------------------- Wolfgang Koller, wolfgang.koller at wu-wien.ac.at Forschungsinstitut f?r Europafragen Wirtschaftsuniversit?t Wien Althanstra?e 39-45, 1090 Vienna, Austria Tel: ++43/1/31336/4147 Fax: ++43/1/31336/758 http://fgr.wu-wien.ac.at/institut/ef/ief-home.htm -------------------------------------------------

...Chairs: Michael Hahsler <Michael.Hahsler at wu-wien.ac.at> Kurt Hornik <Kurt.Hornik at wu-wien.ac.at> For information on how to submit your abstract, please go to http://www.ai.wu-wien.ac.at/~hahsler/research/tools_gfkl07/ -- Michael Hahsler Institut f?r Informationswirtschaft, Wirtschaftsuniversit?t Wien Tel: +43-1-31336-6081 Fax: +43-1-31336-739 E-Mail: hahsler at ai.wu-wien.ac.at WWW: http://wwwai.wu-wien.ac.at/~hahsler

...further development of R and Omegahat. Participants will include Doug Bates University of Wisconsin, Madison Roger Bivand University of Bergen John Chambers Bell Labs, Lucent Technologies Peter Dalgaard University of Copenhagen Robert Gentleman Harvard University Kurt Hornik Wirtschaftsuniversit?t Wien Torsten Hothorn Universit?t Erlangen Stefano Iacus Universit? degli Studi di Milano Ross Ihaka University of Auckland David James Bell Labs, Lucent Technologies Steffen Lauritzen Aalborg University Friedrich Leisch Technische Universit?t Wien Thomas Lumley University...

...further development of R and Omegahat. Participants will include Doug Bates University of Wisconsin, Madison Roger Bivand University of Bergen John Chambers Bell Labs, Lucent Technologies Peter Dalgaard University of Copenhagen Robert Gentleman Harvard University Kurt Hornik Wirtschaftsuniversit?t Wien Torsten Hothorn Universit?t Erlangen Stefano Iacus Universit? degli Studi di Milano Ross Ihaka University of Auckland David James Bell Labs, Lucent Technologies Steffen Lauritzen Aalborg University Friedrich Leisch Technische Universit?t Wien Thomas Lumley University...

svm.fit<-svm(as.factor(out) ~ ., data=all_h, method="C-classification", kernel="radial", cost=bestc, gamma=bestg, cross=10) # model fitting svm.pred<-predict(svm.fit, hh, decision.values = TRUE, probability = TRUE) # find the probability, but can not find. attr(svm.pred, "probabilities") > attr(svm.pred, "probabilities") 1 0 1 0 0 2 0

Dear useRs, French reading people among you might be interested by the following book: Noel, Y. (2013). Psychologie statistique avec R [Statistical psychology with R, in French], coll. PratiqueR, Paris: Springer. http://www.springer.com/psychology/book/978-2-8178-0424-8 This book provides a detailed presentation of all basics of statistical inference for psychologists, both in a fisherian

...that best represents this kind of flow? > > In terms of modelling, I can only think of a count data problem like a > 5X5 matrix. Has anyone tried another approach? > > Thanks in advance. > > Kelvin > > -- Dr. Patrick Mair Department of Statistics and Mathematics WU Wirtschaftsuniversit?t Wien Vienna University of Economics and Business Augasse 2-6, 1090 Vienna, Austria Phone: ++43 1 31336 4844 Fax: ++43 1 31336 774 Homepage: http://statmath.wu.ac.at/~mair

Hi, I'm currently using the R package e1071 to train naive bayes classifiers and came across a bug: When the posterior probabilities of all classes are small, the result from the predict.naiveBayes function become NaNs. This is an issue with the treatment of the log-transformed probabilities inside the predict.naiveBayes function. Here is an example to demonstrate the problem (you might need

...P student USFWS Kenai National Wildlife Refuge Soldotna, Alaska, USA M.Sc. student University of Alaska Fairbanks Fairbankse, Alaska, USA Reference Zeileis, A., C. Kleiber, and S. Jackman, 2007. Regression models for count data in R. Technical Report 53, Department of Statistics and Mathematics, Wirtschaftsuniversit?t Wien, Wien, Austria. URL http://cran.r-project.org/doc/vignettes/pscl/countreg.pdf. Code `data` <- structure(list(D = c(4, 5, 12, 4, 9, 15, 4, 8, 3, 9, 6, 17, 4, 9, 6, 9, 3, 9, 7, 11, 17, 3, 10, 8, 9, 6, 7, 9, 7, 5, 15, 15, 12, 9, 10, 4, 4, 15, 7, 7, 12, 7, 12, 7, 7, 7, 5, 14, 7, 13, 1, 9, 2...