similar to: Regression tree: labels in the terminal nodes

Please help me, I use R-1.4.1 and everything works fine. But with R-1.5.1 ist does'nt work: I have this put into a file called "socket.R" while(TRUE){ con1 <- socketConnection(host="localhost",port=6021,server=TRUE); source(con1); close(con1); } So I can use R with: source("socket.R") and R answers me when I send a command to it via socket 6021. But in

Hello, I successfully used RODBC very frequently, but after having updatetd to R 6.0.2, the current RODBC-Version gives me some problems. After connecting to my Oracle-Database via odbcConnect("") (or the necessary information) I receive a much longer output than usual: RODB Connection 0 Details: case=nochange DRIVER={Oracle in OraHome90} ... with all the details. Previously,

Hi, I have a lot of problems to compile or to run the dovecot on my OpenSUSE 10.3 x86_64. Sometimes the compiled binary cannot read the existing and running config, the dovecot -n results in: ian:/opt/src/build/dovecot-1.1.rc7 # /opt/dovecot/sbin/dovecot -n # 1.1.rc7: /etc/dovecot/dovecot.conf Error: Missing auth section for server default Fatal: Invalid configuration in

Hello everyone, I'm a newbie to R and to CART so I hope my questions don't seem too stupid. 1.) My first question concerns the rpart() method. Which method does rpart use in order to get the best split - entropy impurity, Bayes error (min. error) or Gini index? Is there a way to make it use the entropy impurity? The second and third question concern the output of the printcp() function.

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'

Hi, this should be an easy one, but I can't figure it out. I have a vector of tests, with their units between brackets (if they have units). eg tests <- c("pH", "Assay (%)", "Impurity A(%)", "content (mg/ml)") Now I would like to hava a function where I use a test as input, and which returns the units like: f <- function (x) sub("\\)",

Dear R, Short verse of the question: Is there R code which will calculate surrogate splits and/or delta impurity for decision trees at each node? Long Version: I have local, legacy code which I use to calculate my decision trees. I would like to switch to R, but as I understand it surrogate splits are not implemented. Surrogate splits and feature ranking are described in Breiman et al

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:

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Hi Suman, I think you can ascertain pureness automatically leveraging the compiler instead of manually tagging attribute to each method and call-site. It would seem like impurity should be a transitive attribute. So this would conflict with below. __attribute__((annotate("pure"))) int add(uint32_t a, uint32_t b) { // impure by calling printf... ... printf("%d + %d =

Dear wine user group I removed the whole installation under the root path and reinstalled the application to the user directory -thanks to mr. vitamin. But the effect is the same - the usb interface has not be enabled although the driver works correctly, see jstest /dev/input/js0 -> Driver version is 2.1.0. Joystick (IPACS Ikarus Gamecommander) has 7 axes (X, Y, Z, Rx, Ry, Rz, Throttle) and

I have a question about predictor importances in randomForest. Once I've run randomForest and got my object, I get their importances: rfresult$importance I also get the "standard errors" of the permutation-based importance measure: rfresult$importanceSD I have 2 questions: 1. Because I am dealing with regressions, I am getting an importance object (rfresult$importance) with two

Dear R community, I have recently discovered the package oblique.tree and I must admit that it was a nice surprise for me, since I have actually made my own version of a kind of a classifier which uses the idea of oblique splits (splits by means of hyperplanes). So I am now interested in comparing these two classifiers. But what I do not seem to understand is why the function

Hallo again, the last debug massage was: winedbg H:\\flyrun.exe WineDbg starting on pid 0042 0x7b875fb2 start_process+0xc2 in kernel32: movl %esi,0x0(%esp) Wine-dbg>step Single stepping until exit from function, which has no line number information. Invalid address (0x7b875fb7 start_process+0xc7) for breakpoint 0, disabling it Process of pid=0013 has terminated Thanks for your tips and

Please help me to produce smoothed contour plots. I have dependent data generated at regular intervals of two independent variables and would like to produce smoothed contour plots - I cannot get interp (alima) to produce cubic interpolations of the data, only linear ones. I'm interested in smoothing as the data generation process is stochastic and produces small variations which I'd

> > I don't know what error you are getting, even if you have posted it, > can you post the full error. Can you please post all the lines from > syslog around the error and not just the error. The only logs that show is below. ./daemon.log.1:33430:Jul 2 06:16:28 dc3 named[9754]: client 10.10.4.3#52074: update 'campus.company.intra/IN' denied ./daemon.log.1:33432:Jul 2

Hello folks, I'm not a compiler expert or subscribed to this mailing list, but I have a unique problem. I need to split a large piece of C/C++ code into two separate libraries: one library that only has pure code (i.e., code that doesn't require operating system interactions) and other library that can have both pure code and side-effecting code. I was was wondering if it's possible

Have someone experience with the model-aircraft simulator Aerofly Prof. deluxe? Get someone them running? Thanks for your help joerg -- Super-Acktion nur in der GMX Spieleflat: 10 Tage f?r 1 Euro. ?ber 180 Spiele downloaden und spiele: http://flat.games.gmx.de

Dear R community, as stated in Breiman et.al. (1984) and De'Ath & Fabricius (2000) using sums of absolute deviations about the median as an impurity measure gives robust trees. I would like to use this method in rpart. Has somebody already tried this method in rpart? Is there maybe already a script available somewhere? I am aware of the possibility to define usersplits myself with

Dear r-help-list: I' got a question about the computation of the improve of a split. The following is an extract of an output of the summary of a tree: Node number 1: 600 observations, complexity param=0.007272727 predicted class=0 expected loss=0.1666667 class counts: 500 100 probabilities: 0.833 0.167 left son=2 (211 obs) right son=3 (389 obs) Primary splits: x4