similar to: memory error with rpart()

Hi R-helpers, I am using rpart package for decision tree using R.We are invoking R environment through JRI from our java application.Hence, the result of R command is returned in REXP and we use geterrMessage() to retrieve the error. When we execute the following command, cnr_model<-rpart(as.factor(Species)~Sepal Length+Sepal Width+Petal Length, method="class",

FWIW, I wrote a little function to extract variable importance as defined in the CART book a while ago. It's rather limited: Only works for regression problem, and you need to set maxsurrogate=0 and maxcompete=0. It may (or may not) help you: varimp.rpart <- function(x) { dev <- x$frame[, c("var", "dev")] dev <- dev[dev$var != "<leaf>",

Hi all, I am currently using the code snippet below to minimize a function which I wasn't able to minimize properly with optim (cliffy surface, constraints, poles). Obviously this iteration is probably the poorest way of implementing such a function and it is expectedly slow. I've already written some vectorized functions, but I'm afraid that I'm missing the "big

Dear R friends- I'm attempting to generate a regression tree with one gradient predictor and multiple responses, trying to test if change in size (turtle.data$Clength) acts as a single predictor of ten multiple diet taxa abundances (prey.data) Neither rpart or mvpart seem to allow me to do multiple responses. (Or if they can, I'm not using the functions properly.) > library(rpart)

Hi everyone, I've just notice a problem with ordered factor variables. It appears that row-binding two ordered factors together looses the ordered attribute. The following example happens both in R1.3.1 and R1.4.1 (on RedHat 7.2): > y <- ordered(gl(3,6),labels=1:3) > y [1] 1 1 1 1 1 1 2 2 2 2 2 2 3 3 3 3 3 3 Levels: 1 < 2 < 3 > data <-

Dear all!! I am using R1.4.1 on windows 98. I had been trying to organize the package and has already been able to document some of the functions in to .Rd (R documentation) files. From these .Rd files I generated plain text files as well as html files. I have also given the 00Index file in each of the directories: html/ help/ data/ man/ Problem: I don't get the help using comand

(I tried to send this earlier, but it doesnt seem to have come through, due to problems on my system) Hola: Both cannot be correct: > m <- matrix(1:4, 2) > svd(m) $d [1] 5.4649857 0.3659662 $u [,1] [,2] [1,] -0.5760484 -0.8174156 [2,] -0.8174156 0.5760484 $v [,1] [,2] [1,] -0.4045536 0.9145143 [2,] -0.9145143 -0.4045536 > La.svd(m) $d [1]

Hello, sorry but i found no way or help to work with multiple graph devices (Rdocs,SearchIndex). When is use the function only the graphic device of the last variable is open. How is it possible to let the several plot-device open or save this in a file with different names ? (win 2000 - R1.4.1) thanks for advance & regards,Christian normal <- function(x) { par(mfrow=c(2,2))

I'm trying to understand how to set graphical parameters for trees created with the party package.  For example take the following code:   library(party)     data(airquality)     airq <- subset(airquality, !is.na(Ozone))     airct <- ctree(Ozone ~ ., data = airq,                    controls = ctree_control(maxsurrogate = 3))     plot(airct)   My problem is, I've got a ctree that has

(I sent this earlier, but it seems not to have come through, due to problems witkh my system) The following command from appendix A, "a sample session", isnt correct: contour(x, y, fa, nint=15) when used R protests: Warning message: parameter "nint" couldn't be set in high-level plot() function it should probably be nlevels, as used a few lines before. This is

I can use the Rdbi package to connect to a PostGreSQL server fine but when I use the dbDisconnect(), I get a segmentation error and it throws me out of R. I'm using RH7.2, R1.4.1, Rdbi 0.1-2, and Rdbi.PgSQL 0.1-2. Anyone else seen anything like this and have an possible answer? Andrew Schuh -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing

Hi, I have a question regarding how to get some partial information from the output of rpart, which could be used as the first argument to predict. For example, in my code, I try to learn a stump tree (decision tree of depth 2):    "fit        <- rpart(y~bx, weights = w/mean(w), control = cntrl)     print(fit)     btest[1,]  <- predict(fit, newdata = data.frame(bx)) " I found

Hi, How to add values to an array at any position. Asking because of the following: e.g. y<-c(0.1,NaN,0.2,NaN) #or data frame x<-na.omit(y) take some columns from x and do some computation with functions which do not allow NaN 's. After the computing add NaN's at positions stored in attr(x,"na.action") of the result vector. /E -- Dipl. bio-chem. Witold Eryk

Hello everyone, I have a dataset which includes the first three variables from the demo data below (year, id and var). I need to create the new variable ans as follows If var=1, then for each year (where var=1), i need to create a new dummy ans which takes the value of 1 for all corresponding id's where an instance of one was recorded. Sample data with the output is shown below. year

one more bit of information about this problem. If I start R as the user "postgres" i dont have the segmentation fault. ---------- Forwarded message ---------- Date: Wed, 5 Feb 2003 19:19:39 -0500 (EST) From: Rafael A. Irizarry <ririzarr at jhsph.edu> Reply-To: rafa at jhu.edu To: "R-Help (E-mail)" <r-help at r-project.org> Subject: rdbi segmentation fault hi! i

Hi, I am using rpart decision trees to analyze customer churn. I am finding that the decision trees created are not effective because they are not able to recognize factors that influence churn. I have created an example situation below. What do I need to do to for rpart to build a tree with the variable experience? My guess is that this would happen if rpart used the loss matrix while creating

I am using rsync version 2.6.9 protocol version 29 on a Fedora 7 system to backup files to a network drive. rsync is getting I/O errors when copying maildir files (I'm not sure if the error is happening with other files but these are the only ones I have found so far). I have done some tests on one particular directory, "cp -R" succeeds but "rsync -r" fails:- home#

Hello dear R-help members, I would appreciate any help in understanding how the rpart function computes the "improve" (which is given in fit$split) when using the split='information' parameter. Thanks to Professor Atkinson help, I was able to find how this is done in the case that split='gini'. By following the explanation here:

This is a continuation of my previous problem where cp could copy files whereas rsync couldn't. It turns out that the problem is with files which have commas in their names, rsync can write the initial version of the file but it can't check/rewrite them. Here is the error I get from rsync when trying to overwrite the files (using --inplace) :- home# rsync -r --inplace .in

Hi all, I apologies in advance if I am missing something very simple here, but since I failed at resolving this myself, I'm sending this question to the list. I would appreciate any help in understanding how the rpart function is (exactly) computing the "improve" (which is given in fit$split), and how it differs when using the split='information' vs split='gini'