similar to: Problem with party and ordered factors

Hi List, I am unsuccessfully trying to beautify barplot outputs from ctree. For example I would like to rotate x-axis lables and resize/change font/type. mtree <- ctree(ME ~ ., data = mammoexp) plot(mtree,terminal_panel=node_barplot(mtree,col="black",fill=NULL, beside=TRUE, ylines=NULL, widths=1,gap=NULL, reverse=FALSE,id=FALSE))

Hi, I am trying to get the terminal nodes of a plot of a ctree object to look nice. Using the iris data I have: library(party) mtree <- ctree(Species ~ ., data=iris) plot(mtree,terminal_panel=node_barplot(mtree)) The terminal nodes don't display the species names because the names are displayed horizontally. ?I would like to reduce the size of the labels and make the terminal nodes

Hi, I am working on a regression tree in Rpart that uses a continuous response variable that is ordered. I read a previous response by Pfr. Ripley to a inquiry regarding the ability of rpart to handle ordinal responses in 2003. At that time rpart was unable to implement an algorithm to handle ordinal responses. Has there been any effort to rectify this in recent years? Thanks! Stacey On

Hi there, I need to extract the variable names from all nodes (except the terminal nodes) from a ctree object, e.g. library(party) mammoct <- ctree(ME ~ ., data = mammoexp) plot(mammoct) how can I extract the varnames from node 1 (SYMPT) and node 3 (PB) from the fitted object "mammoct"? Many Thanks, Sven

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")) {

Hi, hackers : Yesterday night and this morning, I cvsup my system to latest STABLE branch source (RELENG_4). All make buildworld, buildkernel, and installkernel procedure was completed with no error. But when I boot into single user mode and try to make installworld, I always got " touch: not found " error. Does anyone encounter this situation ? I have no idea about that. :-( Here is

Hello, This is a re-submittal of question I submitted last week, but haven't rec'd any responses. I need to extract the probabilities used to construct the barplots displayed as part of the graph produced by plot("ctree"). For example, library(party) iris.ct <- ctree(Species ~ . , data = iris) plot(iris.ct) Instead of a simple example with only 4 terminal nodes, my

Hi all. This might seem really naive, but can mtree be used effectively as a native-to-core-OS tripwire equivalent? Would it be as efficient in terms of time-to-run and resource requirements? What sort of pitfalls should I be aware of? Has anyone here done this? If so, would you care to share your scripts/techniques? Thanks, Dave -- ______________________

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)...

Hi, I am new to R and am using the ctree() function to do customer segmentation. I am using the following code to generate the tree: treedata$Response<-factor(treedata$Conversion) fit<-ctree(Response ~ .,controls=ctree_control(mincriterion=0.99,maxdepth=4),data=treedata) plot(fit) print(fit) The variable "Response" above equals 1 if the customer responded to an offering and

Patch applied. ------- ==> Creating package "libguestfs-git"... -> Generating .PKGINFO file... -> Generating .MTREE file... -> Compressing package... ==> Leaving fakeroot environment. ==> Finished making: libguestfs-git 1.27.25.12.gbbae613-1 (Mon Aug 11 18:24:54 CEST 2014) ---------------------- martinus@gerbillous ➤➤ ~aur/libguestfs-git % ls -al

Hi, I've been trying for the past few days to come up with a method for checking a FreeBSD system to see if it is vulnerable to an issue described by a FreeBSD security advisory in some automated way, similar to the way portaudit can use VuXML to check for vulnerabilities in ports. Right now, I'm a bit stuck--there seem to be fairly major issues with all the methods I've come up

Hello, I've sent a similar query before, but didn't receive any answers. When upgrading from 9.1 to 9-STABLE, the buildworld fails with: ===> usr.bin/xinstall (all) cc -O2 -pipe -I/usr/src/usr.bin/xinstall/../../contrib/mtree -I/usr/src/usr.bin/xinstall/../../lib/libnetbsd -I/usr/src/usr.bin/xinstall/../../lib/libmd -std=gnu99 -fstack-protector -Wsystem-headers -Werror -Wall

Hi, I am a long time OpenBSD user trying FreeBSD. I am attempting to upgrade my system from FreeBSD RELEASE 4.7 to "STABLE" This is my first post to this list so please be gentle : ) I followed http://www.freebsd.org/doc/en_US.ISO8859-1/books/handbook/makeworld.html But when I get to "21.4.9 Install the New System Binaries" This happens: root@smeagol /usr/src # make

I ran chkrootkit ( v. chkrootkit-0.43 ) earlier and noticed that chfn, date, and chsh showed as being infected. I remember reading post from the past that right now chkrootkit is giving alot of false positives, so I suspected that these 3 binaries are not bad. However, to be on the safe side, I deleted the 3 binaries, removed /usr/src and did a 'make world' to 4.10-STABLE. But, chfn,

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

I tried to use ctree but am not sure about the meaning of the plot. My.data.ct<-ctree(Resp~., data=My.data) plot(My.data.ct) My data.frame contains 88 explanatory variables (continous,ordered/unordered multistate,count data) and one response with two groups. In the plot are only two variables shown (2 internal nodes) and 3 final nodes. Does it mean that only these two variables show a

When plotting Binary Trees (ctree) from the party package, is there a way to adjust the font sizes of the leaves? require(party) irisct <- ctree(Species ~ ., data = iris) plot(irisct) I want to adjust the font sizes for "Node 2", "Node 5", etc. I'd also like to be able to adjust the font sizes for the x-axis and y-axis labels of the histograms. Thanks,

Hi, I have a problem with ctree of party package. I have data on distribution of more than one species (about 50 species) and I would like identify the relation of this multivariate object (species distribution) with a number of explanatory variables. rs is the name of my dataframe containing the species (columns from 2 to 51) and the explanatory variables (columns 52 and 53). Rows are my

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