search for: elemstatlearn

In an .Rd example for a package, I want to use data from another package, but avoid loading the entire package and avoid errors/warnings if that other package is not available. If I don't care about loading the other package, I can just do: if (require("ElemStatLearn", quietly=TRUE)) { data(prostate) # rest of example } I'd rather just be able to do something like: if (data(prostate, package="ElemStatLearn")) { # rest of example } but it appears that data() doesn't return anything useful (like FALSE or NULL) in case the na...

Anyone know if it is possible to get the R scripts used in the "The Elements of Statistical Learning" book? It is a great book but sometimes some help would be useful to replicate the results presented in the book and so, understood things better. Thanks Manuel -- View this message in context:

...d also by multiplying coefficients by the variable matrix. This is not worked out. Could anyone suggest where I am going wrong? I understand that I may not have the mean/intercept correct, but the scaling is also off, which suggests a bigger mistake. Thanks for your help. Juliet Hannah library(ElemStatLearn) library(glmnet) data(prostate) # training data data.train <- prostate[prostate$train,] y <- data.train$lpsa # isolate predictors data.train <- as.matrix(data.train[,-c(9,10)]) # test data data.test <- prostate[!prostate$train,] data.test <- as.matrix(data.test[,-c(9,10)]) # sc...

Dear helpers, I am trying to use the mda package downloaded from the R website, but the data set has missing values so I got an error message. Should I manually handle these missing values? I was trying to read the documents to specify any option related to missing values, but I did not find it. Please forgive me if I ignore something obvious. Thanks, Zhu Wang Statistical Science Department

Hi, I'm just wondering does anyone know of a good site that would assist me in creating a spam filter through R? It is for a college project. I have searched the net but cannot find anything of relevance. Any help would be greatly appreciated.... Regards, -- View this message in context: http://www.nabble.com/An-R-SPAM-Filter-tp15530304p15530304.html Sent from the R devel mailing list

...u please tell me some information about why the MARS model R^2 is so big? How can I get the MARS model?s correct R^2 in R-projector some another way than in the following example or by calculating it myself using R^2-formula? I hope you can reply soon. Best regards, Tiina Hakanen library(ElemStatLearn) library(mda) data<-ozone m<-mars(data[,-1], data[,1], nk=4) m$factor[m$s,] m$cuts[m$s,] m$coef marsmodel<-lm(data[,1]~m$x-1) summary(marsmodel) Call: lm(formula = data[, 1] ~ m$x - 1) Residuals: Min 1Q Median 3Q Max -36.264 -15.993 -2.351 9.993 122.793 Coefficien...

...e of the hottest new areas in biology! ################################################### Much of the material is based on the book: Elements of Statistical Learning: data mining, inference and prediction Hastie, Tibshirani & Friedman, Springer-Verlag, 2001 http://www-stat.stanford.edu/ElemStatLearn/ A copy of this book will be given to all attendees. ################################################### For more information, and to register, visit the course homepage: http://www-stat.stanford.edu/~hastie/mrc.html --------------------------------------------------------------------...

...e of the hottest new areas in biology! ################################################### Much of the material is based on the book: Elements of Statistical Learning: data mining, inference and prediction Hastie, Tibshirani & Friedman, Springer-Verlag, 2001 http://www-stat.stanford.edu/ElemStatLearn/ A copy of this book will be given to all attendees. ################################################### For more information, and to register, visit the course homepage: http://www-stat.stanford.edu/~hastie/mrc.html --------------------------------------------------------------------...

...- one of the hottest new areas in biology! ################################################### Much of the material is based on the book: Elements of Statistical Learning: data mining, inference and prediction Hastie, Tibshirani & Friedman, Springer-Verlag, 2001 http://www-stat.stanford.edu/ElemStatLearn/ A copy of this book will be given to all attendees. ################################################### For more information, and to register, visit the course homepage: http://www-stat.stanford.edu/~hastie/mrc.html -------------------------------------------------------------------   Trevo...

...may 2004 http://www.ci.tuwien.ac.at/Conferences/useR-2004/Keynotes/Ripley.pdf looking for a book I suggest: Trevor Hastie , Robert Tibshirani, Jerome Friedman, The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2001, Springer-Verlag. http://www-stat.stanford.edu/~tibs/ElemStatLearn/ B.D. Ripley, Pattern Recognition and Neural Networks http://www.stats.ox.ac.uk/~ripley/PRbook/ Hoping I helped you. Best Vito you wrote: Hi, there: I think I need a book on data mining book using R. I knew Modern Applied Statistics with S-plus (2nd Ed) or Modern Applied Statistics with S (4th...

?hclust listed several references. I'm wondering what is the best resource that explained clustering algorithms, dendrogram and various clustering algorithms that are implemented in R. Thank you!

Hi, Dear R community, Does anyone know how to constructdecision tree with boosting? Is any tutorial I can read? -- Sincerely, Changbin -- [[alternative HTML version deleted]]

...case studies, Maggio 2003 Consultabile all??indirizzo web: http://www.liacc.up.pt/~ltorgo/DataMiningWithR/ Trevor Hastie , Robert Tibshirani, Jerome Friedman, The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2001, Springer-Verlag. http://www-stat.stanford.edu/~tibs/ElemStatLearn/ I'm find too for some R application for DM. Best Vito Thomas Sch??nhoff wrote: Hello, Uwe Ligges schrieb: > Erin L. Leisz wrote: > If the manual "An Introduction to R is not sufficient for you, what > about reading a book, e.g. Peter Dalgaard's "Introductory Statis...

Dear all I'm familiarising myself with Ridge Regressions in R and the following is bugging me: How does one get p-values for the coefficients obtained from MASS::lm.ridge() output (for a given lambda)? Consider the example below (adapted from PRA [1]): > require(MASS) > data(longley) > gr <- lm.ridge(Employed ~ .,longley,lambda = seq(0,0.1,0.001)) > plot(gr) > select(gr)

Hi All,  I have been trying to use glmnet package to do LASSO linear regression. my x data is a matrix n_row by n_col and y is a vector of size n_row corresponding to the vector data. The number of n_col is much more larger than the number of n_row. I do the following: fits = glmnet(x, y, family="multinomial")I have been following this

If we use the ROCR package to find the accuracy of a classifier pred <- prediction(svm.pred, testset[,2]) perf.acc <- performance(pred,"acc") Do we?find the maximum accuracy?as follows?(is there a simplier way?): > max(perf.acc at x.values[[1]]) Then to find the cutoff point that maximizes the accuracy?do we do the following?(is there a simpler way): > cutoff.list <-

R people, I need to know if is possible to make data mining with R. If so, is there any manual or somewhere/one to consult about that. Thank you very much Adri?n

Hi There, I am trying to fit a logit model to some data in a CSV file in R. Here is my code: Prepared_Data = read.csv("Prepared_Data.csv", header=TRUE) Prepared_Data attach(Prepared_Data) lrfit<-glm(C3~A1*B2*D4*E5,family = binomial) anova(lrfit, test="Chisq") write.csv(anova(lrfit, test="Chisq"), file="CWModelA.csv") shell.exec("CWModelA.csv")

Hello All, Recently, I was asked to help out with an SEM cross-validation analysis. Initially, the project was based on "sample-splitting" where half of cases were randomly assigned to a training sample and half to a testing sample. Attempts to replicate a model developed in the training sample using the testing sample were not entirely successful. A number of parameter estimates were

...drfit","dse1","dse2","dyn","dynamicGraph","dynlm","e1071","eba","EbayesThresh","Ecdat","eco","ecodist","edci","effects","eha","elasticnet","ElemStatLearn","ellipse","elliptic","emme2","emplik","emulator","EMV","energy","ensembleBMA","Epi","epitools","epsi","equivalence","evd","evdbayes","evir",&qu...