similar to: LOOCV using R

Good afternoon. I would like to know if there is any function in R to do LOOCV with these classifiers: 1)SVM 2)Neural Networks 3)C4.5 ( J48) 4)KNN Thanks a lot! [[alternative HTML version deleted]]

Hy, I got the following problem when trying to build a rpart model and using everything but LOOCV. Originally, I wanted to used k-fold partitioning, but every partitioning except LOOCV throws the following warning: ---- Warning message: In nominalTrainWorkflow(dat = trainData, info = trainInfo, method = method, : There were missing values in resampled performance measures. ----- Below are some

Hello all. I have this code: myLOOCV <- function(myformula, data) { Y <- all.vars(myformula)[1] Scores<- numeric(length(data[,1])) for (i in 1:length(data[,1])) { train <- data[-i,] test <- data[i,] myModel <- lrm(myformula, train) Scores[i] <- predict(myModel, test,type="mean") }

Hello, How can I do a cross validation in R? Thank You!

I have a really long functions, and at the end of the function, I am using a if statement to tag certain keywords based on whether they have certain values contained in them. However, the if statement doesn't seem to work. When I had split up the commands into various functions, it worked fine, but I'm not sure what going on now that it's combined into a single function. myfunc

Dear all, Does anybody can explain this: different results got when all the same parameters are used in the errorest() in library ipred, as the following? errorest(Species ~ ., data=iris, model=randomForest, estimator = "cv", est.para=control.errorest(k=3), mtry=2)$err [1] 0.03333333 > errorest(Species ~ ., data=iris, model=randomForest, estimator = "cv",

Hi, I am using errorest function from ipred package. I am hoping to perform "bootstrap 0.632+" and "bootstrap leave one out". According to the manual page for errorest, i use the following command: ce632[i]<-errorest(ytrain ~., data=mydata, model=lda, estimator=c("boot","632plus"), predict=mypredict.lda)$error It didn't work. I then tried the

Update on this topic. I have just bought a new computer (My previous one was 8 years old and showing its age) and I tried timidity instead of fluidsynth. Midi playback works fine on both the midi player and notation processor in Wine with Pulse Audio enabled.

Hello everybody I create this post because I can play at FEAR2 : Project Origin in my Ubuntu 8.10. The game is very fluid and I'm in the Intervalle 4 and I don't have a graphic bug and sound problem. But, with the sound card : HDA Intel (my old soundcard), the game crash in the cinematic game. My PC : Processor : Intel Core2Duo E8400 Motherboard : Asus P5Q Memory : 4Go de ram Graphic

Dear all, can anybody help me with the program below? The function predict.lda seems to be defined but cannot be used by errortest. The R version is 1.7.1 Thanks in advance, Stefan ---------------- library("MASS"); library("ipred"); data(iris3); tr <- sample(1:50, 25); train <- rbind(iris3[tr,,1], iris3[tr,,2], iris3[tr,,3]); test <- rbind(iris3[-tr,,1],

Dear List, I have a question regarding "ipred" package. Under 10-fold cv, for different knn ( = 1,3,...25), I am getting same misclassification errors: ############################################# library(ipred) data(iris) cv.k = 10 ## 10-fold cross-validation bwpredict.knn <- function(object, newdata) predict.ipredknn(object, newdata, type="class") for (i in

has anyone seen this error: ns1: /acct/peter> rsync ns1.pad.com::acct overflow: flags=0xe8 l1=3 l2=20709376 lastname=. ERROR: buffer overflow in receive_file_entry rsync error: error allocating core memory buffers (code 22) at util.c(238) ns1: /acct/peter> -- Peter Dominguez 72 Belvedere Dr Yonkers, NY 10705-2814 USA Tel: 914-423-4000 Fax: 914-423-8640 Email: peter@pad.com

If I use rsync as: rsync -rltva /dir /dir2 it works fine. If I use rsync as: rsync -rltva hosta::dir it works fine and dir points to in rsyncd.conf /acct/dir I get the following error: ns1: /acct/peter> rsync ns1::acct overflow: flags=0xe8 l1=3 l2=20709376 lastname=. ERROR: buffer overflow in receive_file_entry rsync error: error allocating core memory buffers (code 22) at util.c(238)

Sorry for the repeat. The PRESS statistic is defined as sum(y-yhat(i))^2, where yhat(i) denotes the ith predicted value using all the data except the ith case (as used typically in linear models). Thanks again Jacob Jacob L van Wyk Department of Mathematics and Statistics Rand Afrikaans University P O Box 524 Auckland Park 2006 South Africa Tel: +27-11-489-3080 Fax: +27-11-489-2832

Greetings, I am having trouble calculating artificial neural network misclassification errors using errorest() from the ipred package. I have had no problems estimating the values with randomForest() or svm(), but can't seem to get it to work with nnet(). I believe this is due to the output of the predict.nnet() function within cv.factor(). Below is a quick example of the problem I'm

Hi, I am trying to get an error estimation for a classification done using lda. The examples work fine, however I don't get my own code to work. The data is in object d > d class hydrophobicity charge geometry 1 2 6490.0400 1434.9700 610.99902 2 2 1602.0601 400.6030 -5824.00000 3 2 969.0060 260.1360 -415.00000 4 1

Good day, all, I'm trying to transfer a 174M file to a system with 1.2G free. Other files in the tree come over just fine, but this transfer dies partway through: rsync -avvz -e ssh --partial --progress server.with.the.file:/server/directory /local/directory opening connection using ssh server.with.the.file rsync --server --sender -vvlogDtprz --partial . /local/directory receiving file

Hi, I am wondering what does "mypredict.lda<-function(object, newdata)predict(object, newdata=newdata)$class" actually do? I run a few errorest commands in the same function on the same dataset using the same classifier lda. The only difference is some use "cv", other use "boot" and "632plus". They all share one mypredict.lda. Will it cause any

How to select the number of PLS components for GPLS for data sets with few samples? Concrete problem: My data set: 9 samples of class A and 37 of class B with 254 descriptors. In the paper: "Classification Using Generalized Partial Least Squares", Beiying Ding, Robert Gentleman, Bioconductor Project Working Papers, year 2004, paper 5 Section 2.6 Assessing Prediction: Cite:

Full_Name: Scott Yonker Version: R for OSX Cocoa OS: Mac OSX Submission from: (NULL) (24.208.185.211) The garchFit function in the Rmetrics libray cannot estimate ARCH models, meaning that the number of beta terms in the model must be greater than zero. For this function neither p nor q can be set to zero without an error. The problem lies in both the specification of the objective function