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...implement further visualization tools for categorical data, in particular for loglinear models. The DESCRIPTION of the package is given below. Best wishes, Achim Zeileis Package: vcd Version: 0.1-3 Date: 2002-11-22 Title: Visualizing Categorical Data Author: David Meyer, Achim Zeileis, Alexandros Karatzoglou, Kurt Hornik Maintainer: Kurt Hornik <Kurt.Hornik at R-project.org> Description: Functions and data sets based on the book "Visualizing Categorical Data" by Michael Friendly. License: GPL Depends: R(>= 1.4.0), MASS, ctest

...implement further visualization tools for categorical data, in particular for loglinear models. The DESCRIPTION of the package is given below. Best wishes, Achim Zeileis Package: vcd Version: 0.1-3 Date: 2002-11-22 Title: Visualizing Categorical Data Author: David Meyer, Achim Zeileis, Alexandros Karatzoglou, Kurt Hornik Maintainer: Kurt Hornik <Kurt.Hornik at R-project.org> Description: Functions and data sets based on the book "Visualizing Categorical Data" by Michael Friendly. License: GPL Depends: R(>= 1.4.0), MASS, ctest

...R. Serrano * Informes dinámicos con LaTeX y R: utilización de Sweave y knitr de Francesc Carmona * Interfaces Web 2.0 para R con Tiki de Xavier de Pedro Puente * Edición (y mucho más) potente en R con ESS ("Emacs Speaks Statistics") de Alex Sánchez * Machine Learning in R de Alexandros Karatzoglou * Introducción a las Reference Classes (programación orientada a objetos en R) Aleix Ruiz de Villa * Introducción práctica a la librería ggplot2 y su integración con ggmap de Lluís Ramon, Andreu Vall i Roger Borràs Esperamos que los videos os sean útiles . Recordar que las V Jornadas de usuario...

...IS" there. Basically, compute the error either before scaling back "fitted (ret)" or scale back y as well!! Can anyone confirm / refute / agree / disagree? Thanks, -- Prasenjit -------------- next part -------------- 1 ## Support Vector Machines 2 ## author : alexandros karatzoglou 3 ## updated : 08.02.06 4 5 setGeneric("ksvm", function(x, ...) standardGeneric("ksvm")) 6 setMethod("ksvm",signature(x="formula"), 7 function (x, data=NULL, ..., subset, na.action = na.omit, scaled = TRUE){ ... 38 }) 39 ......

A new version of kernlab has just been released. kernlab is a kernel-based Machine Learning package for R. kernlab includes the following functions: o ksvm() : Support Vector Machines for classification, regression, novelty detection, native multi-class classification, support for class-probability output and confidence intervals in regression. o gausspr()

kernlab version 0.9-7 is now online and incorporates : + a much improved fast implementation of string kernels "stringdot" based on suffix arrays. + a new kernel method kmmd() which implements a non-parametric kernel based two sample test. The new kernlab version also includes many minor improvements and fixes. Alexandros _______________________________________________

A new version of kernlab has just been released. kernlab is a kernel-based Machine Learning package for R. kernlab includes the following functions: o ksvm() : Support Vector Machines for classification, regression, novelty detection, native multi-class classification, support for class-probability output and confidence intervals in regression. o gausspr()

kernlab version 0.9-7 is now online and incorporates : + a much improved fast implementation of string kernels "stringdot" based on suffix arrays. + a new kernel method kmmd() which implements a non-parametric kernel based two sample test. The new kernlab version also includes many minor improvements and fixes. Alexandros _______________________________________________