similar to: FileNotFoundException en RWeka

Saludos colegas. Soy nuevo en R y me gustaría saber si es posible embeber código HTML en funciones R para hacer interfaces web. Es decir, lo que quiero hacer es una aplicación web que utilice R para el procesamiento estadístico de los datos y que me los grafique en la web. ¿Es posible hacer esto? . Saludos. --

Saludos colegas. Estoy utilizando el entorno rattle para probar algunas tareas de minería de datos sobre un dataset. Sucede que desde hace unos días cuando intento utilizar rattle me lanza el siguiente error: *> rattle() Error en ret[i, ] <- c(pkgs[i], lib, desc) : número de items para para sustituir no es un múltiplo de la longitud del reemplazo* Llevo algún tiempo intentando

A strange thing happened. After installing the most recent RC version of 2.7 (2008-04-20 r45403) I compiled it as usual with no errors. After installing it I ran "make fullcheck". I got as far as testing recommended packages and I got the following: ... -------- Testing package foreign -------- Running examples in 'foreign-Ex.R' ... Comparing `foreign-Ex.Rout' to

Hi, I am trying to read in a large and highly sparse ARFF file into R which was produced by WEKA. However the package 'RWeka' just chokes on this file. The data set has about 40k observations and about 20k dimensions. Even after 1hr read.arff method of RWeka is still trying to read in the file, whereas WEKA is able to read it in in less than 20seconds. What are my options at this

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 == "")

Sir, This query is related to randomForest regression using R. I have a dataset called qsar.arff which I use as my training set and then I run the following function - rf=randomForest(x=train,y=trainy,xtest=train,ytest=trainy,ntree=500) where train is a matrix of predictors without the column to be predicted(the target column), trainy is the target column.I feed the same data

Dear R help I am having difficulty doing a biplot of the first two factors of a factor analysis. I presume it is because the values in factor 2 for Milk and NUTS are not displayed in the component loadings. Loadings: Factor1 Factor2 RedMeat 0.561 -0.112 WhiteMeat 0.593 -0.432 Eggs 0.839 -0.195 Milk 0.679 Fish 0.300 0.951 Cereals -0.902 -0.267

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

?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, 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

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).

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

I need to create an arff file.i have the necesaary codes as two parts and i need to combine them..if there is anyone who can help i'll send the codes..thank you. -- View this message in context: http://r.789695.n4.nabble.com/help-for-creating-arff-file-i-have-the-codes-tp2308039p2308039.html Sent from the R help mailing list archive at Nabble.com.

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),

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

Hi, Being a novice this is my first usage of R. I am trying to use rpart for building a decision tree in R. And I have the following dataframe Outlook Temp Humidity Windy Class Sunny 75 70 Yes Play Sunny 80 90 Yes Don't Play Sunny 85 85 No Don't Play Sunny 72 95 No Don't Play Sunny 69 70 No Play Overcast 72 90 Yes Play Overcast 83 78 No Play Overcast 64 65 Yes Play Overcast 81 75

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

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

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 List, I`m trying to make prediction using a bagged tree with the package ipred. I tried to follow the manual but I`m getting an error message. Also browsing through the list-archive I didn`t find any hint. Maybe someone can help me? selbag <- bagging(SOIL_UNIT ~., data=traindat.bin, coob=TRUE) Error in dimnames(X) <- list(dn[[1L]], unlist(collabs, use.names = FALSE)) :