search for: hasti

...oes not: > model.matrix(~I(pos>3),data=data.frame(pos=c(1:2))) Error in "contrasts<-"(`*tmp*`, value = "contr.treatment") : contrasts can be applied only to factors with 2 or more levels -------------------------------------------------------------------- Trevor Hastie hastie@stanford.edu Professor, Department of Statistics, Stanford University Phone: (650) 725-2231 (Statistics) Fax: (650) 725-8977 (650) 498-5233 (Biostatistics) Fax: (650) 725-6951 URL: http://www-stat.stanford.edu/~hastie address: room...

Does anyone know whether there is an R version of the S-Plus software that can be downloaded from the website of the book Elements of Statistical Learning by Hastie, Tibshirani and Friedman? Rob Potharst -- ********************************************************** Dr. Rob Potharst Lecturer in Computer Science Erasmus University email: potharst at few.eur.nl P.O. Box 1738 phone: +31.10.408.1343 3000 DR Rotterdam...

It would be nice to have a date stamp on an object. In S/Splus this was always available, because objects were files. I have looked around, but I presume this information is not available. -------------------------------------------------------------------- Trevor Hastie hastie at stanford.edu Professor, Department of Statistics, Stanford University Phone: (650) 725-2231 (Statistics) Fax: (650) 725-8977 (650) 498-5233 (Biostatistics) Fax: (650) 725-6951 URL: http://www-stat.stanford.edu/~hastie address: room 10...

I have contributed a "gam" library to CRAN, which implements "Generalized Additive Models". This implementation follows closely the description in the GAM chapter 7 of the "white" book "Statistical Models in S" (Chambers & Hastie (eds), 1992, Wadsworth), as well as the philosophy in "Generalized Additive Models" (Hastie & Tibshirani 1990, Chapman and Hall). Hence it behaves pretty much like the Splus version of GAM. Note: this gam library and functions therein are different from the gam function in package m...

I have contributed a "gam" library to CRAN, which implements "Generalized Additive Models". This implementation follows closely the description in the GAM chapter 7 of the "white" book "Statistical Models in S" (Chambers & Hastie (eds), 1992, Wadsworth), as well as the philosophy in "Generalized Additive Models" (Hastie & Tibshirani 1990, Chapman and Hall). Hence it behaves pretty much like the Splus version of GAM. Note: this gam library and functions therein are different from the gam function in package m...

...de este mensaje, por favor, edite la linea del asunto (subject) para que el texto sea mas especifico que: "Re: Contents of R-help-es digest...". Además, por favor, incluya en la respuesta sólo aquellas partes del mensaje a las que está respondiendo. Asuntos del día: 1. Curso de R de Hastie y Tibshirani (Carlos J. Gil Bellosta ) 2. Re: Curso de R de Hastie y Tibshirani (Roger Borras) 3. Re: Curso de R de Hastie y Tibshirani (Fernando Canovas Garcia) 4. Re: Curso de R de Hastie y Tibshirani (Isidro Hidalgo) -------------------------------------------------------------------...

...>linea del asunto (subject) para que el texto sea mas especifico que: >"Re: Contents of R-help-es digest...". Además, por favor, incluya en >la respuesta sólo aquellas partes del mensaje a las que está >respondiendo. > > >Asuntos del día: > >  1. Curso de R de Hastie y Tibshirani (Carlos J. Gil Bellosta ) >  2. Re: Curso de R de Hastie y Tibshirani (Roger Borras) >  3. Re: Curso de R de Hastie y Tibshirani (Fernando Canovas Garcia) >  4. Re: Curso de R de Hastie y Tibshirani (Isidro Hidalgo) > > >-------------------------------------------...

...ics list is a set of pointers, and clicking on a topic takes you to that entry. I can think of at least one way to do this via web pages, but I bet those with more web skills than me can come up with an elegant solution. -------------------------------------------------------------------   Trevor Hastie                                  hastie@stanford.edu    Professor, Department of Statistics, Stanford University   Phone: (650) 725-2231 (Statistics)          Fax: (650) 725-8977    (650) 498-5233 (Biostatistics)   Fax: (650) 725-6951   URL: http://www-stat.stanford.edu/~hastie    address: room...

Is there any place where the Chambers and Hastie 1993 Statistical Models in S data sets can be found? Thank you very much. Peter B. -- Peter B. Mandeville mandevip at deimos.tc.uaslp.mx Jefe del Depto. de Inform?tica y Bioestad?stica rpe1531 at pasteur.fmed.uaslp.mx Facultad de Medicine...

...la lata... Un saludo. Isidro > -----Mensaje original----- > De: r-help-es-bounces en r-project.org [mailto:r-help-es-bounces en r- > project.org] En nombre de Carlos J. Gil Bellosta > Enviado el: viernes, 10 de enero de 2014 11:18 > Para: r-help-es > Asunto: [R-es] Curso de R de Hastie y Tibshirani > > Hola, ¿qué tal? > > Sabréis que en unos días comienza un MOOC de Hastie y Tibshirani, > > https://class.stanford.edu/courses/HumanitiesScience/StatLearning/Winte > r2014/about > > basado en el libro "An Introduction to Statistical Learning, with &gt...

...miting the active set). Examples of glmnet speed trials: Newsgroup data: N=11,000, p= 0.75 Million, two class logistic. 100 values along lasso path. Time = 2mins 14 Class cancer data: N=144, p=16K, 14 class multinomial, 100 values along lasso path. Time = 30secs Authors: Jerome Friedman, Trevor Hastie, Rob Tibshirani and Noah Simon References: Friedman, J., Hastie, T. and Tibshirani, R. (2008) Regularization Paths for Generalized Linear Models via Coordinate Descent http://www.stanford.edu/~hastie/Papers/glmnet.pdf> Journal of Statistical Software, Vol. 33(1), 1-22 Feb...

...miting the active set). Examples of glmnet speed trials: Newsgroup data: N=11,000, p= 0.75 Million, two class logistic. 100 values along lasso path. Time = 2mins 14 Class cancer data: N=144, p=16K, 14 class multinomial, 100 values along lasso path. Time = 30secs Authors: Jerome Friedman, Trevor Hastie, Rob Tibshirani and Noah Simon References: Friedman, J., Hastie, T. and Tibshirani, R. (2008) Regularization Paths for Generalized Linear Models via Coordinate Descent http://www.stanford.edu/~hastie/Papers/glmnet.pdf> Journal of Statistical Software, Vol. 33(1), 1-22 Feb...

...aje original----- > >> De: r-help-es-bounces en r-project.org [mailto:r-help-es-bounces en r- > >> project.org] En nombre de Carlos J. Gil Bellosta > >> Enviado el: viernes, 10 de enero de 2014 11:18 > >> Para: r-help-es > >> Asunto: [R-es] Curso de R de Hastie y Tibshirani > >> > >> Hola, ¿qué tal? > >> > >> Sabréis que en unos días comienza un MOOC de Hastie y Tibshirani, > >> > >> https://class.stanford.edu/courses/HumanitiesScience/StatLearning/Winte > >> r2014/about > >> > &g...

Hola, ¿qué tal? Sabréis que en unos días comienza un MOOC de Hastie y Tibshirani, https://class.stanford.edu/courses/HumanitiesScience/StatLearning/Winter2014/about basado en el libro "An Introduction to Statistical Learning, with Applications in R". Se me ocurre lo siguiente: 1) Montar un grupo de estudio en Madrid de manera que podamos reunirnos pe...

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,...

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 an...

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...

Hello list, I've been searching around trying to find whether somebody has written such a package of least angle regression on generalized linear models, like what Lasso2 package does. The extension to generalized linear models is briefly discussed in the comment by D. Madigan and G. Ridgeway. Is such a package available? Thanks, Mike [[alternative HTML version deleted]]

I have two comments regarding the Posting Guide: (1) The link in the following sentence did not work for me: Take care when you quote other people's comments to respect their rights, e.g., as summarized here[a]. [a] http://www.jiscmail.ac.uk/help/policy/copyright.htm Has it been changed to the following? http://www.jiscmail.ac.uk/policyandsecurity/copyrightissues.html (2) Regarding

...e R allí.. Si alguien por Andalucía está interesado en este curso le animo a que nos pongamos en contacto y ver como podemos organizarnos. Un saludo. José Luis Cañadas El 10/01/14 11:17, Carlos J. Gil Bellosta escribió: > Hola, ¿qué tal? > > Sabréis que en unos días comienza un MOOC de Hastie y Tibshirani, > > https://class.stanford.edu/courses/HumanitiesScience/StatLearning/Winter2014/about > > basado en el libro "An Introduction to Statistical Learning, with > Applications in R". > > Se me ocurre lo siguiente: > > 1) Montar un grupo de estudio en...