similar to: scale subset of data

Hi, The answers to my previous question about nominal variables has lead me to a more important question. What is the "best practice" way to feed nominal variable to an SVM. For example: color = ("red, "blue", "green") I could translate that into an index so I wind up with color= (1,2,3) But my concern is that the SVM will now think that the values are

Hello, I'm trying to duplicate what's an easy process in RapidMiner. In RM, we can simply use two operators: subgroup iteration attribute value selection (Can use a regex for the attrribute name.) I can do this in R with a lot of code and manual steps. It would be really nice to find a more automated way. My data looks like this group group_height group_weight height

Hello, I'm using the svm function from the e1071 package. It works well and gives me nice results. I'm very curious to see the actual coefficients calculated for each input variable. (Other packages, like RapidMiner, show you this automatically.) I've tried looking at attributes for the model and do see a "coefficients" item, but printing it returns an NULL result.

I have a data set with about 30,000 training cases and 103 variable. I've trained an SVM (using the e1071 package) for a binary classifier {0,1}. The accuracy isn't great. I used a grid search over the C and G parameters with an RBF kernel to find the best settings. I remember that for least squares, R has a nice stepwise function that will try combining subsets of variables to find

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Let's say I had a matrix like this: library(Ryacas) x<-Sym("x") m<-matrix(c(cos (x), sin(x), -sin(x), cos(x)), ncol=2) How can I use R to obtain the eigenvalues and eigenvectors? Thanks, John [[alternative HTML version deleted]]

Hi, I want to store the output of my program to a file. However, With subsequent runs of my code, I'd like to append to the same log file. Currently, I'm using: outfile <- file("log.txt", open="w") cat(results, file=outfile) This works, but will overwrite the log file each time. Is there a way to open a file and have R append to the end? Thanks! -- Noah

Hello, I am attempting to use elasticnet to classify a number of documents. The features are words. The data is coded into a matrix with each document as a row and each word as a column. The data is binary, with {0,1} indicating the presence of a word. I want to use the cross validation function of elasticnet (cv.enet). However, when the code selects a random subset of the data for a given

Hi, I am new to R and I want to know how to use C code which contains two functions one called inside another.I know that how to use C code in R if it has only one function but dont know how to do it in above case. I want to use the same in R .My C code is as follows. //#include <R.h> void sayHello(); void g(); void sayhello() { Rprintf("Hello world %d\n",global); } void

Hi, I have a dataset where the results are coded ("yes", "no") We want to do some machine learning with SVM to predict the "yes" outcome My problem is that if I just use the as.factor function to convert, then it reverses the levels. ---------------------- x <- c("no", "no", "no", "yes", "yes", "no",

Hi, More questions in my ongoing quest to convert from RapidMiner to R. One thing has become VERY CLEAR: None of the issues I'm asking about here are addressed in RapidMiner. How it handles misisng values, scaling, etc. is hidden within the "black box". Using R is forcing me to take a much deeper look at my data and how my experiments are constructed. (That's a very

Hello, In my ongoing quest to develop a "best" model, I'm testing various forms of SVM to see which is best for my application. I have been using the SVM from the e1071 library without problem for several weeks. Now, I'm interested in RVM and LSSVM to see if I get better performance. When running RVM or LSSVM on the exact same data as the SVM{e1071}, I get an error that I

Hi, Quick question. I'm working on training an SVM. I have a dataframe with about 50 columns. I want to train on 46 of them. Is there a way to say "All except columns 22,23,25 and 31"? It would be nice to not have to do +c1 +c2 +c3 +c4, etc for all 48 columns. Thanks! -N [[alternative HTML version deleted]]

In my continuing quest to generate some summary data, I've come across some useful suggestions in pasts posts. The apply operation returns an error, and I can't figure out why. Can someone help me fix this? testlogdata <- cbind(testlogdata, range_group=cut(testlogdata$lrm_score, breaks=c(.9, .8, .7, .6, .5, .4, .3, .2, .1))) apply(testlogdata, 2, function(x){tapply(x,

Hi, > history() gives Error in savehistory(file) : no history available to save although I can scroll throu history with C^uparrow an C^downarrow. How can I make history() work and/or show the current history in a file, so that I can choose from previous commands? The web did not throw up anything useful. TIA --Christian -- Christian W. Hoffmann, CH - 8915 Hausen am Albis,

Hi,    I have a file containing gene expressions written using the tillingArray package. I used load() and attach() to get the data into R. Both of them works fine. Now I want to see the contents of the file. How can I see the contents of the file? Thankyou for your time. Regards, Ambuj The INTERNET now has a personality. YOURS! See your Yahoo! Homepage. [[alternative HTML version

Hi, Could you please tell me whether SVM can do multiple regression or not? Cheers, Amy _________________________________________________________________ Browse profiles for FREE! Meet local singles online. [[alternative HTML version deleted]]

Dear All, I have data in HDF file format and would like to read it into R. I have tried the package hdf5 without success. Any ideas and suggestions?? Kind regards, Katrin -- Katrin Fleischer Vrije Universiteit Amsterdam Faculty of Earth and Life Sciences Subdepartment Hydrolgy and Geo-Environmental Sciences Room E-360 De Boelelaan 1085 1081 HV AMSTERDAM Tel: +31 20 59 87391

Hello, just a couple of short questions that would be much appreciated. Is there a way of putting a vectors inputs in size order from low to high? And if I had a random list or TRUE and FALSE, is there a way of finding the 100th TRUE? Thank you very much, Elliot Welch elliot.welch at virgin.net Sent from my BlackBerry? smartphone

Hi, I have a CSV file that is formatted well, except that the last line is a "summary" not is CSV format. Toy example: label_1, label_2, label_3 1,2,3 3,2,4 2,3,4 Total Rows: 3 When I try to import this into R with: d <- read.table("foo.csv", header=T, sep=",") It fails to import properly because of the last line. Currently, I have a shell script that strips