similar to: Multiple Reponse CART Analysis

I would like to use R.oo and tcltk to implement a Turtle World. I have encountered many problems because: 1) I am not sure how to implement static fields with R.oo 2) I am not sure how to implement a constructor that would call a function only for the first instance of a class (i.e., to initialize value of static fields only once) 3) I am not sure how to remove/delete cleanly existing

I would greatly appreciate some idea about the best approach to make a graphical interface of for a turtle world in R. In the turtle environment, the user controls movements of a turtle through the command line (e.g. forward(10), turn(5), etc.). The turtle should be displayed in the new position and heading after each command. Also, the turtle's path and, possibly, objects (squares,

I am trying to apply methods used by Chaloupka & Limpus (1997) ( http://www.int-res.com/articles/meps/146/m146p001.pdf) to my own turtle growth data. I am having trouble with two things... 1) After the GAM is fit, the residuals are skewed. >m1 <- gam(growth~s(mean.size, bs="cr")+s(year,bs="cr",k=7)+s(cohort,bs="cr")+s(age,bs="cr"), data=grow,

Hello R users, If I generate a random tree with n=10 tips as rtree(n=10) say, is there a way to have the distances between all tips put into a n by n matrix? Sincerely, Brian [[alternative HTML version deleted]]

Hello. I'd like to compute the associate vector of distances between leaves in a binary non-rooted tree. The definition of a distance between two leaves in a binary non-rooted tree is the number of edges in the path joining the two leaves. I've tried the ape package but I'm unable to find this vector. For example, using rtree(5,rooted=F) I've obtained the following tree: $edge

Dear R community, Is this sample size large enough to study differences between two groups of the populations? Q1: do the body temperatures differ between the two groups of the overwintering turtles juveniles and adults? One group (adults) has 6 turtles Second group (juveniles) has 1 turtle. There are 3 replications, i.e. the experiment was repeated over the three years, but using

Hi R-listers, Q1) What is the difference between the scatterplot and plot function? Q2) I am able to make a graph with the scatterplot function: scatterplot(DevelopIndex ~ Veg, + data = Turtle, + xlab = "Vegetation border (m)", + ylab = "Embryonic development index") And have been successful. But I do not know if the lines are for:

Hello, I've got a small dataset on box turtle shell measurements that I would like to perform a detrended correspondence analysis on. I thought that it would be interesting to examine the morphometrics for each species in the area of overlap and in areas where neither species occurs.  I've taken a look at the dune and dune.env datasets in vegan. Using the str() command gives me  >

Hey guys, I just subscribed to the list about 15 minutes ago so i apologize in advance if this is something that has already been discussed. I skimmed through the web archives and I didn't see anything. I'm running FreeBSD/amd64 and after upgrading from 1.0b3 to 1.0b7 I am experiencing the following May 8 13:18:22 loveturtle dovecot: imap-login: Login: user=<turtle>,

Hi, using both OpenSSH_2.5.1p1 (compiled myself) and openssh-2.9p1-23.i386.rpm from ftp.suse.com 7.2_update I get the following "leak" : using `scp' I tried to copy a file from a local floppy disk to a remote system, but the disk had an read error and scp didn't get any real data from floppy: turtle koenig > scp /media/floppy/file.c harald:file.c

I have completed a binomial GLM in R (details attached (finalModel.docx)) and I am trying to create a graph of observed and fitted values using the following commands: > MyData<-data.frame(time=seq(from=0,to=1323,by=1)) > Pred<-predict(M2,newdata=MyData,type="response") > plot(x=turtle$time,y=turtle$success) > lines(MyData$time,Pred) However, I get the following

Good afternoon all. I have an odd problem that has me stumped and I'm hoping someone here may be able to help. Recently I switched from a Gentoo Linux based OS to FreeNAS. The version of Samba running on FreeNAS is 3.5.5 (and was the same under Linux). I mainly use my FreeNAS/Samba box to share MP3 files to an Audiotron. One of the files is the Turtle Beach radio file, radio_tr.txt. When I was

All- Ah, the saga of the 1U workstation continues. So, in all my work configuring the thing, I completely forgot about AUDIO; I only realized my mistake when I went on a cable-measuring expedition this morning. Unfortunately, none of the 1U servers I've been looking at come with audio outputs (there aren't even audio headers on the motherboard), and I've used the only availabnle slot

Dear all, I was wondering if there is a simple way to avoid printing the multiple cross-validation automatic output to the console of recursive partitionning functions like rpart or mvpart. For example... > data(spider) > mvpart(data.matrix(spider[,1:12])~herbs+reft+moss+sand+twigs+water,spider,xv="1se",xvmult=100) *X-Val rep : 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

Hello everyone, I am currently using the mvpart package and would like to change the color scheme it uses, and was hoping someone could help me out. All of the papers I have found have used a grayscale but I can't seem to figure out how they did that! Currently, mvpart plots barplots in a repeating sequence of 3 shades of blue. So if you have 6 response variables the same shade of blue is used

Dear all, I'm getting an error in one of the stock examples in the 'mvpart' package. I tried: require(mvpart) data(spider) fit3 <- rpart(gdist(spider[,1:12],meth="bray",full=TRUE,sq=TRUE)~water+twigs+reft+herbs+moss+sand,spider,method="dist") #directly from ?rpart summary(fit3) ...which returned the following: Error in apply(formatg(yval, digits - 3), 1,

Hello all, When attempting a classification tree using mvpart, I get the following error: > thesis2.mvp=mvpart(bat_sp~., data=alltrees.df) Error in all(keep) : unused argument(s) (c(TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE,

Hi all, I am fairly new to R and I am trying to run mvpart and create a MRT using explanatory variables and covariables. I've been following the procedures in Numerical Ecoogy with R. The command (no covariables) which works fine - ABUNDTMRT <- mvpart(abundance ~ .,factors,margin=0.08,cp=0,xv="1se",xval=nrow(abundance),xvmult=100,which=4) where abundance is 4th root

I'm currently runing UW-IMAP (compiled vanilla) with procmail and mbox and am making my usual careful crawl (at turtle speed) through figuring out DC config. Some questions: a) I have something like 3-4 root imapd sessions so I presume that the default *login_processes_count* = 3 will be OK. I'm less clear about login_max_processes_count and login_max_connections = 256. A common

To represent a turtle inside a canvas (tcltk package), I have a serie of bitmaps representing the turtle heading in different directions and I would like to display the one that corresponds to the current direction of the turtle (function below). I have created with Paint a bitmap representing the turtle in BMP format and succeeded displaying it on canvas after converting it into XBM format