similar to: amd 64 ??

hi R folks, I need read a file from hardisk or www web. Then I need to define some new functions according to the contents of the read file. For example, i need write a package name "mypackage" like this: >library(mypackage) >read(some_file_on_web) #to see its content, suppose it contains: eat.drink.sleep then 3 new functions need to be created and usable. the problem is, how

Last week Giovanni Parrinello posted a message asking why various packages were loaded when he loaded an .Rdata file. Brian Ripley replied saying he thought it was because the saved workspace contained a reference to the namespace of ipred. (Correspondence copied below). This begs the question: how did the reference to the namespace of ipred come to be in the .Rdata file? Brian did say it is

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

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)) :

As a shortcut I have previously added my own functions to a Package (ipred) under R-1.8.1, changing the NAMESPACE file to accomodate this then reinstalling. This doesn't now seem possible in R-1.9.0 is this correct?-- I am getting an error saying: "files NAMESPACE, R/ipred have the wrong MD5 checksums" after I try to reinstall (which I can understand). Is there a quick way round

Hi All, I'm a newcomer to the R community, just started learning R. I need to use partykit for developing CART. But I'm not getting any document/help for using partykit/rpart. http://www.agrocampus-ouest.fr/math/useR-2009/slides/Hothorn+Zeileis.pdfgives some example, but it doesn't tell how my own data should be formatted so that it can be accepted by partykit. Example,

Hi, After setting the windows version to winxp I managed to install this game without a problem. Playing however is another matter. It appears it can't find the CDrom. I'm using the deb-packages from winehq (version 20050111) in a sid chroot on an AMD64 pure64 install with kernel 2.6.8 (Debian package 2.6.8-10). I copied the config file from the sample in the documentation and only

Hi All, I'm using the party package to grow conditional inference trees for survival analysis. When I used party version party_0.9-9991 everything worked well, but when I update to party_1.0-2 (due to using 64bit R), I get an error. For simplicity I will show the error I get for the example in the party documentation: ### survival analysis if (require("ipred")) {

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

The package ipred is uploaded to CRAN. The main focus of the package is the calculation of improved predictors in classification tasks. Misclassification error can be improved by bootstrap aggregated classification trees and/or the framework of indirect classification. Furthermore, a unified interface for the estimation of misclassification error completes the features of ipred. We try to make

The package ipred is uploaded to CRAN. The main focus of the package is the calculation of improved predictors in classification tasks. Misclassification error can be improved by bootstrap aggregated classification trees and/or the framework of indirect classification. Furthermore, a unified interface for the estimation of misclassification error completes the features of ipred. We try to make

Hi I am having some problems running a covariate analysis with my colleage using R with the NonMem program we are using for a graduate school project. R and NonMem run fine without adding in the covariates, but the program is giving us a problem when the covariate analysis is added. We think the problem is with the R code to run the covariate data analysis. We have the control stream, R code

for example, I have two sets, x and y. I want to draw their histograms using different colors in a graph. I didn't find how to do this by reading ?hist Thanks very much. [[alternative HTML version deleted]]

Hi all Two computers: one is my desktop PC, windows2000, R 1.9.1. Physical RAM 256MB, Swap (Virtual memory) 384Mb. When I allocate a large matrix, it firstly uses up RAM, then use swap space. In windows' task manager, the usage of memory could exceed my physic RAM's size. The other machine is a remote server. Windows XP, R 1.9.1 Physical RAM 2GB. Swap space 4GB. I use "R

System: R 2.3.1 on a Windows XP computer. I am validating several cancer prognostic models that have been published with a large independent dataset. Some of the models report a probability of survival at a specified timepoint, usually at 5 and 10 years. Others report only the linear predictor of the Cox model. I have used Harrell's c index for censored data (rcorr.cens) as a measure of

R 2.15.1 OS X and Windows Colleagues, I have a file that looks that this: TABLE NO. 1 PTID TIME AMT FORM PERIOD IPRED CWRES EVID CP PRED RES WRES 2.0010E+03 3.9375E-01 5.0000E+03 2.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 1.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 0.0000E+00 2.0010E+03 8.9583E-01

for example: I have a data frame. data$V4 returns: ..... [6936] P05796 P11096 P76174 P04475 P18775 [6941] P33225 P76387 P76388 P76388 P09375 [6946] P15300 P15723 1375 Levels: O50190 O65938 O69415 P00274 P00363 P00364 P00370 P00373 ... Q9AJ15 data$V5 returns something like data$V4 I want to cbind this two columns, so I use new <-

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 R Debian People: I have put this on regular R help as well, but thought that I'd try here too. I updated to R-2.10.0 on Ubuntu Karmic Koala via apt-get update, apt-get install. Then I had a problem that said that I need MASS <= R-2.9.2. Fair enough. Uwe Ligges was kind enough to point out that I needed to use > update.packges(checkBuilt=TRUE) So I did. Now the menu on Rcmdr

Hello, can me please help anbody how it is possible unlist a "rpart.object.list" i.e. from bagging(ipred) to plot this "unique" several rpart.objects . ..i make attempts with unlist, get really atomic elements, but need only the different tree's ! Thanks for advance & regards,Christian -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-