similar to: Plot multiple ctrees in the same figure

Like earth can be trained simultaneously for degree and nprune, is there a way to train ctree simultaneously for mincriterion and maxdepth? Also, I notice there are separate methods ctree and ctree2, and if both options are attempted to tune with one method, the summary averages the option it doesn't support. The full log is attached, and notice these lines below for

Hello everybody I'm am trying to build a pdf out of the Rd files that i wrote for a package, so that I can attach it to my thesis. if i Run Rd2pdf (or Rd2dvi) I get this error massage: Hmm ... looks like a package Converting Rd files to LaTeX . Creating pdf output from LaTeX ... Error in texi2dvi("Rd2.tex", pdf = (out_ext == "pdf"), quiet = FALSE, : Running

Hello, I?m wondering if anyone can offer advice on the out-of-memory error I?m getting. I?m using R2.12.2 on Windows XP, Platform: i386-pc-mingw32/i386 (32-bit). I am using the quantreg package, trying to perform a quantile regression on a dataframe that has 11,254 rows and 5 columns. > object.size(subsetAudit.dat) 450832 bytes > str(subsetAudit.dat) 'data.frame': 11253 obs.

Hi all - Is anyone aware of any solutions (or workarounds) for R5 classes that allow multiple inheritance? Alternatively, if anyone has ideas about how where I may be able to start, I'm willing to delve into dark magic. It's presently possible to give multiple superclasses in contains, but method dispatch only behaves correctly for the first of them. I don't *think* this has changed

Hi all, I found that the two different versions of "survival" packages, namely 2.36-5 vs. 2.36-8 or later, give different results for coxph function. Please see below and the data is attached. The second one was done on Linux, but Windows gave the same results. Could you please let me know which one I should trust? Thanks, ...Tao #####============================ R2.13.0,

I've been trying to figure out why the following is happening.... I've got some data I'll load in from a file... rm(list=ls(all=TRUE)) trees <- read.table( "c:/cruisepak/data.txt", header=T) trees$ct <- 1 And when I create some temp variable, then split the data to perform further processing, the additional column doesn't maintain the data correctly.... mtrees

Dear useRs: I try to plot an rpart object but cannot get a nice tree structure plot. I am using plot.rpart and text.rpart (please see below) but the branches that connect the nodes overlap the text in the ellipses and rectangles. Is there a way to get a clean nice tree plot (as in the Rpart Mayo report)? I work under Windows and use R2.11.1 with rpart version 3.1-46. Thank you. Tudor ...

My data looks like: A,B,C,D,Class 1,2,0,2,cl1 1,5,1,9,cl1 3,2,1,2,cl2 7,2,1,2,cl2 2,2,1,2,cl2 1,2,1,5,cl2 0,2,1,2,cl2 4,2,1,2,cl2 3,5,1,2,cl2 3,2,12,3,cl2 3,2,4,2,cl2 **The steps followed are: trainfile <- read.csv("TrainFile",head=TRUE) datatrain <- subset(trainfile,select=c(-Class)) classtrain <- (subset(trainfile,select=Class)) rf <- randomForest(datatrain, classtrain)

Dear all, I was intrigued by the ctree command and wanted to check it out. I first ran the demo with example(ctree) and did get the survival graphs in the end. Upon doing this with my own data and yielding a "Invalid operation on a survival time" I tried to rerun example(ctree) and now I also get "Invalid operation on a survival time" after the example runs plot(GBSG2ct)...

Ugh...This should be very simple, but evidently I am not searching for the proper term. Given the below: val_size<-100000 x_vals<-rnorm(val_size) I would like to group them according to the following x_vals_mean_tmp[1]<-mean(x_vals[1:10]) x_vals_mean_tmp[2]<-mean(x_vals[11:20]) ... x_vals_mean_tmp[n]<-mean(x_vals[99991:100000]) Then, I would like to group them according to the

Sorry about this one being long, and I apologise beforehand if there is something obvious here that I have missed. I am new to creating my own functions in R, and I am uncertain of how they work. I have a data set that I have read into a data frame: > gctable[1:5,] refseq geometry X60_origin X60_terminus length kingdom 1 NC_009484 cir 1790000 773000 3389227 Bacteria 2

Full_Name: Morten Welinder Version: 2 OS: Solaris/space/gcc2.95.2 Submission from: (NULL) (65.213.85.217) I changed src/nmath/standalone/test.c to read: --------------------------------------------------------------------------------- #define MATHLIB_STANDALONE 1 #include <Rmath.h> #include <stdio.h> int main() { double x; for (x = 99990; x <= 100009; x++) printf

Hi all - I have the latest samba up and running fine except for one small problem. The username I use to log into the NT domain is different than the username I log into samba with. I have no control over the former, and would *really* rather not change the latter. I've searched the net, and the archives, and got only saw bits and pieces of this issue, never quite fully answered. Is it

Dear, I would like know the way to calculate the variance explained of a regression tree. I use the function "ctree" from library "party" many thanks [[alternative HTML version deleted]]

Hallo list, I'm wondering if there is a way to extract the path to terminal nodes in a BinaryTree object, e.g. ctree, like the function path.rpart in package rpart. Thanks, Sven

I have run the ctree function, and my dependent variable is broken into 3 categories: low cost, moderate cost and high cost. When i plot the results (eg. using plot(test.ct)), the plot shows, at the very bottom of each node, the probability of falling into each cost category. When i print the actual results (eg. using print(test.ct)), i get all of the backup

Dear R.Users, using ctree() (from "party" library) on a data.frame, I want to append a column with the references for the groups/segments detected. While these nodes are easy readable in output, I need a vector for my obs. Hints? Cheers -- Daniele Medri

I am trying to extract the tree information from the output of ctree. I tried using the documentation from BinaryTree Class {party} but with no success. Any help is appreciated. Thank You -- *David Guy, PhD Flemington, NJ 917-941-5890 Cell 908-237-5107 Home 908-284-0356 Fax* [[alternative HTML version deleted]]

Hi, I want to run the R-function ctree (package party) from Java over Rserve with the following Java-Code: try{ RConnection v = new RConnection(); v.voidEval("library(party)"); v.voidEval("try(load(\"C:\\Documents and Settings\\daten2.rda\"))"); v.voidEval("try(pdf(\"C:\\Documents and Settings\\test4.pdf\"))"); v.voidEval("plot

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