similar to: RWeka

Dear all, I need to generate a list of lists as required by the bayesm-package. This means in my application that I have to generate a list which consists of 2000 elements, which are lists themselves: list(list(y1,X1),...,list(y2000,X2000)). The y are vectors and the X are matrices of different dimensions. I tried to solve this problem iteratively by the following code, but received an error

Hi, I tried some windows screensavers with Wine. Most screensavers start with the configuration screen without a possibility to start the main screensaver part. It's the same thing when I rename a screensaver file from 'somewhat.scr' to 'somewhat.exe' and try to run it with a doubleclick on my Windows 2000 PC. (*.scr: the screensaver starts, *.exe: the configuration screen

Dear everyone, the following problem: Our group has written a lengthy program in c++, to which we would like to add some additional features. Because we are not sure if those features are actually useful, we would prefer to take a "quick and dirty" approach just to try them out. The additional feature is that in every iteration of the algorithm membership-probabilities should by

Dear community, unfortunately I did not manage load the rJava package receiving the following error-message: > library("rJava") Error in inDL(x, as.logical(local), as.logical(now), ...) : kann shared library 'C:/Programme/R/2.8.1/library/rJava/libs/rJava.dll' nicht laden: LoadLibrary failure: Das angegebene Modul wurde nicht gefunden. Error : .onLoad in

Dear community, unfortunately I did not manage load the rJava package receiving the following error-message: > library("rJava") Error in inDL(x, as.logical(local), as.logical(now), ...) : kann shared library 'C:/Programme/R/2.8.1/library/rJava/libs/rJava.dll' nicht laden: LoadLibrary failure: Das angegebene Modul wurde nicht gefunden. Error : .onLoad in

Hi, I have a question about using RWeka Clusterers.If you could supply answer or insight, I would really appreciate it. When I run a simple code which uses a clusterer from RWeka I get an error. the sample codes and errors are mentioned below Code: library(RWeka) Cobweb(iris[,-5],control=NULL) Error: Error in names(class_ids) <- nms : 'names' attribute [150] must be the same

Dear R-users, I am running R 2.10.1 under Windows XP Professional. Moreover, I run Java 5.0 and the RWeka package 0.4-1 and rJava 0.8-4. are successfully installed. I get two error messages while loading both packages. library(RWeka) Error in get(Info[i, 1], envir = env) : internal error -3 in R_decompress1 Error: package/namespace load failed for 'RWeka' 2:

When I sink the output of an RWeka model to a text file, the output file appears empty: library(RWeka) model = LogitBoost(Species~.,data=iris) print(model) sink("output.txt") print(model) #file output.txt is created, but it is blank sink() Am I doing anything wrong? [[alternative HTML version deleted]]

Hi everyone, I have a test set with more than 1000 cases, when I use evaluate_Weka_classifier(RWeka)to evaluate my classifier on this test set, the output shows me the result of only 83 cases. I do have missing values in predictors, so I tried na.acton=na.pass, but it dosen't help. Now I confused, why RWeka ignore so many cases in my test set? Is there any setting I didn't notice in

Hello, I have a question concerning decision trees coming from RWeka : library(RWeka) m =J48(Species~.,data=iris) How could such a decision tree be transferred into a matrix, pretty much in the same fashion, as it is done by getTree() in library(ofw) library(ofw) data(srbct) attach(srbct) ##ofwCART learn.cart.keep <- ofw(srbct,

Hi - I have a question on RWeka. I installed the package and try to run using some examples available in the package. However, it stalls my machine for a while. I'm wondering if I need weka (which is java implementation) installed before using RWeka? Thank you. - adschai

Hello all, I am attempting to run an R script that makes use of RWeka. I am running SuSE Linux 9.3 with Java 1.5.0_06, R version 2.2.1, Weka 3-4-7, and Rweka 0.2-1. CLASSPATH="/usr/local/weka-3-4-7/weka.jar:/usr/local/JGR/JGR.jar" I receive the error: NewObject("weka/core/Instances","(Ljava/io/Reader;)V",...) failed Exception in thread "main"

Estimados compañeros ignoro que problema tengo pero no puedo cargar RWeka. Tengo la versión 2.12 de R, Windos XP y actualizado el Java Virtual Machine y cuando intento la carga me da: Error in loadNamespace(i[[1L]], c(lib.loc, .libPaths())) : there is no package called 'rJava' Error: package/namespace load failed for 'RWeka' Un cordial saludo, Juan --

Saludos colegas. Estoy intentando cargar un archivo arff con el paquete RWeka pero me lanza el error FileNotFoundException cuando intento ejecutar la instrucción en R. Este es el código: datos<- read.arff(system.file("arff","cereals.arff", package = "RWeka")) El archivo cereals.arff y el script con el código R están en el mismo directorio, sin embargo, no me

Hi all, Although I sent the mail to Piotr, the author of FSelector, it should be better to ask here to let others know. Yanwei Begin forwarded message: From: Yanwei Song <yanwei.song@gmail.com> Date: September 7, 2011 4:41:58 PM EDT To: p.romanski@stud.elka.pw.edu.pl Subject: FSelector and RWeka problem Dear Piotr, Thanks for developing the FSelector package for us. I'm a new

Dear List, I´m trying to implement the functionalities from WEKA into my modeling project in R through the RWeka package. In this context I have a slightly special question about the filters implemented in WEKA. I want to convert nominal attributes with k values into k binary attributes through the NominalToBinary filter ("weka.filters.supervised.attribute.NominalToBinary"). But

Hi, I want to save a RWeka model into a file, in order to retrive it latter with a load function. See this example: library(RWeka) NB <- make_Weka_classifier("weka/classifiers/bayes/NaiveBayes") model<-NB(formula,data=data,...) # does not run but you get the idea save(model,file="model.dat") # simple save R command # ... load("model.dat") # load the model

Hello, I have some trouble in achieving the desired parametrisation for the weka classifier functions, using the package RWeka. The problem is, that the functions result=classifier(formula, data, subset, na.action, control = Weka_control(mycontrol)) do not seem to be manipulated by the mycontrol- arguments Perhaps this should be resepected via the handlers- argument , but the

Dear Forum, when I try to use SnowballStemmer() I get the following error message: "Could not initialize the GenericPropertiesCreator. This exception was produced: java.lang.NullPointerException" It seems to have something to do with either Snowball or RWeka, however I can't figure out, what to do myself. If you could spend 5 minutes of your valuable time, to help me or give me a

Hi, I am using some classifiers in RWeka packages and met a couple problems. (1) J48 implements C45 classifier, the C45 should be able to handle missing values in both training set and test set. But I found the J48 classifier can not be evaluated on test set with missing values--it just ignore them. (2) The ensemble classifiers in RWeka such as bagging and boosting: there is a