similar to: Reading large sparse arff files into R

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

Running Weka's command line with calls to system(), like this > system("java weka.classifiers.bayes.NaiveBayes -K -t HWlrTrain.arff -o") === Confusion Matrix === a b <-- classified as 3518 597 | a = NoSpray 644 926 | b = Spray === Stratified cross-validation === === Confusion Matrix === a b <-- classified as 3512 603 | a = NoSpray

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 everyone, I am new to field of data mining as well as particularly using R respectively RWeka for writing my master thesis. I intend to create some specific J48 classification trees with the RWeka_classifiers_tree function. When I run the source code it says ?cannot handle numeric class?. I therefore checked the arff-file and indeed there it says that the class variable is numeric although it

Hi, I'm trying to use RWeka and followed the following example from the RWeka manual. ============ ## Use some example data. w <- read.arff(system.file("arff","weather.nominal.arff", package = "RWeka")) ## Identify a decision tree. m <- J48(play~., data = w) m ## Use 10 fold cross-validation. e <- evaluate_Weka_classifier(m, cost = matrix(c(0,2,1,0),

Hello: I´m trying to execute Apriori(file.arff) command of RWeka package. I´m working with: Operating System: Windows XP home R-2.4.0 RWeka_0.2-11 rJava_0.4-11 classpath= .;C:\Archivos de programa\Java\jdk1.5.0\lib;C:\Archivos de programa\R\R- 2.4.0\library\RWeka\jar An error occurs when .jnew command is executed, on class "weka/core/Instances" :

Dear all, I am using the RWeka package to append several arff files. Although it works the resulting arff files always have "@relation R_data_frame", and I have to change this manually to my desired relation name. Can the package accomplish this for me instead? Thank you, Wil Koetsier

Hi, x1 <- c(as.Date("20110101","%Y%m%d"),as.Date("2012-01-01","%Y-%m-%d")); x2 <- c("1","2"); ddf <- data.frame(x=x1,y=x2); ddf[["y"]] <- as.factor(ddf[["y"]]) write.arff(ddf, file="D:/ddf.arff") Content of ddf.arff is @relation ddf @attribute x numeric @attribute y

Hello, I have a trained Back Propagation Neural Network model in weka. I would like to re-evaluate the NN using R with a given input. How can I do this? I could not find an example of RWeca that applies to NN Thanks, Rui

Full_Name: Martin C. Martin Version: 2.7.1 OS: Ubuntu Submission from: (NULL) (75.150.115.86) The function write.arff, in the foreign library: - Can produce relation names with invalid characters - Doesn't use colnames() for attribute names when writing a matrix. Here's a better version: write.arff <- function (x, file, eol = "\n") { if (file == "")

Dear All, I'd like to use Weka functions that are not implemented (do not have interface) in RWeka, like the Remove function and others in the future! The .java() functionality is for that purpose but I haven't seen any example with Weka functions. Could anyone give me hand in how to do it? For instace if I want to use the weka.filters.unsupervised.attribute.Remove? 1. in the R console,

Simply gooling for "writing ARFF file in R" gave the following as first hit, which is right on the WEKA page: Miscellaneous code [...] Function for reading ARFF files into the R statistical package (kindly provided by Dr Craig Struble). Function for writing ARFF files from the R statistical package (kindly provided by Nigel Sim).

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"

Le jeudi 09 f?vrier 2012 ? 15:31 +0200, Kari Ruohonen a ?crit : > Hi, > I am trying to replicate a training of AttributeSelectedClassifier with > CFsSubsetEval, BestFirst and NaiveBayes that I have initially done with > Weka. Now, I am trying to use RWeka in R. > > I have a problem of passing arguments to the CfsSubsetEval, BestFirst > and NaiveBayes. I have first created an

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 all, I have been using WEKA to do some text classification work and I want to try out R. The problem is I cannot load the String to Vector ARFF files created by WEKA's string parser into Rattle . Looking at the logs I get something like: /Error in scan(file, what, nmax, sep, dec, quote, skip, nlines, na.strings, : scan() expected 'a real', got '2281}'/ *My ARFF

?Hello everyone, I guess this is really directed to the R Core Team, but I understand that this is the best channel to submit this (please correct me if I'm wrong!). I would like to submit a function to consideration, as an upgrade for the current read.arff in package foreign. Code in github: https://raw.githubusercontent.com/jumanbar/misc/master/R/read.arff.R This function is a modified

Hi everyone, I have trouble to use RWeka, I tried: (w=weather dataset, all preditors are nominal) > m<-J48(play~., data=w) > e<-evaluate_Weka_classifier(m,cost = matrix(c(0,2,1,0), + ncol = 2),numFolds = 10, complexity = TRUE,seed = 123, + class = TRUE) it gives me exactly what I want, but when I tried the same classifier on the other published data: (iris dataset has all numeric

Hi everyone, this email basically pursues two distinct main goals. I appreciate any help! First of all I was wondering if there is any possibility to get WEKA files (coded in Java) to run in R respectively RWeka. I first considered if it was possible with the Weka_interface implemented in RWeka but apparently it is not. Is there any way? Secondly I am looking for implementations to produce

Hello All, I am trying to carry out variable reduction. I do not have information about the dependent variable, and have only the X variables as it were. In selecting variables I wish to keep, I have considered the following criteria. 1) Percentage of missing value in each column/variable 2) Variance of each variable, with a cut-off value. I recently came across Weka and found that there is an