similar to: position of an element in a vector

Hello. I was wondering how one can find the exact values of the range of an axis within a plot. In xlispstat it was (send plot :range 0). Thanks much, Jason

Hello. In messing around with some of the graphical parameters using the par() function (setting margins for example), I've noticed that the plot doesn't always immediately respond to changes...for example when lines are added, if they are out of the range you need to physically find out what the new max range has to be. Is there a companion function in R to the xlispstat function

Dear R users, I was trying to install the package RXLisp by Duncan Temple Lang on a MDK 9.1 Linux machine running R 1.8.0 installed from a RPM. Unfortunately I had a problem loading the shared library into R. Since I'm a Linux newbie I was not able to solve the problem. Maybe some of you can help me. First of all I downloaded the source archive for Xlisp-Stat and for the RXlisp package.

Hello, Does R have any capabilities (or are there any add on packages) which can do estimation of standard statistical models (means, regression, logistic regression, etc) which take into account not only weights (e.g. post-stratification weights) but also the sample design, such as stratification and clustering information (to compute a robust taylor linearized variance estimator, for

I am sorry for this off-topic question. Just curious how xlispstat is used in the industry and what's it strengthen compared with other computing languages such as R or matlab? Thanks a lot. [[alternative HTML version deleted]]

I am sorry that this is another novice question. I am having trouble using "legend" with the survival curve plot from the survival package, and I wonder if it is because I have rescaled my plot. Here is the relevant segment of code: > plot(survfit(Surv(OS,Status)~shortishcr1),main='Overall Survival by factor', + xlab='Years',ylab='%

Has anyone experimented with the Network Common Data Format (netcdf) described at http://www.unidata.ucar.edu/packages/netcdf for archiving data? Is this format widely used outside of atmospheric research? -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-devel mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info",

Here is the summary on predict when using an arima0 object: The arima0 object must be based on a time series vector. That is; x <- ts(xm1, frequency=12, start=c(1975,1)) x.ar <- arima0(x,order=c(1,1,1)) predict(x.ar,n.ahead=3) Thanks so much to Prof. Brian Ripley and David Brahm and other! Sincerely, Erin Hodgess

A student is trying to cluster some data. Tree-building things seem to be pretty hopeless (we've tried most of the ones in R, I think). Multi-dimensional scaling produces somewhat tantalising results: things do clump together somewhat, but the clusters overlap a lot. I was wondering if these was an artefact of squeezing it down to 2D, and whether 3D might be better. So loc <-

we still do not have dynamic graphics in R natively. i just found out about a widget library called fltk info is at www.fltk.org it has all the stuff r currently can do only through tcl/tk or (as i do it) excel: sliders, knobs, spinners and so on. it is multiplatform, there are production versions for unixen and windows, and there is a beta for macs. this could be a way of getting some of

I have two lists of equal lengths. Each one consists of vectors. Is there an elegant way to combine them elementwise? Elegant means: without loops. For instance, for > jja_list(1:3,4:7) > jjb_list(rep(0,4),(2,5)) I would like to get: > list(c(1:3,rep(0,4)),c(4:7,rep(2,5))). --- D.Trenkler --- ************************************************************************ *********

Hi All, I've done some work recently making some of our image analysis library callable from R and Splus. Most of the C image functions use an abstract data type, and R only sees a pointer to this. All memory allocation is done by the library. This leads to some interesting problems. I'm interested in your views about possible solutions. 1) assignment. something like a<-b, where a and

John Fox (see below) raises important questions for the Lisp-stat community (and perhaps the R community) to consider. This message thread was not cross-posted to r-devel@lists.r-project.org, so I do so now. I have never been an active or particularly adept Lisp-stat programmer. But I have worked on or used several projects for which Lisp-stat seemed the ideal environment-- for implementing

Hi, I am trying to learn some basic statistics stuff but I cannot find any elementary statistics exercises using R language. Using RKward would be even better... I need that in analysing sociological data, obtained through questionnairres - findind corelations between variables, relations between different types of data, etc. Could anyone recommend simple tutorials/exercises, available on www

-- View this message in context: http://r.789695.n4.nabble.com/How-to-define-new-matrix-based-on-an-elementary-row-operation-in-a-single-step-tp2341768p2341768.html Sent from the R help mailing list archive at Nabble.com.

x86 snv 108 I have a pool with around 5300 file systems called home. I can do: zfs set sharenfs=on home however zfs set sharenfs="sec=krb5,rw" home complains: cannot set property for ''home'': ''sharenfs'' cannot be set to invalid options I feel I must be overlooking something elementary. Thanks, Alastair -------------- next part --------------

Is it possible to run R soley from the shell? I'm evaluating necessary fixes to R and XLispStat (and eventually SAS and S-PLUS 4) for running as subprocesses to Emacs (NTEmacs) for ESS. Currently, I lose control of R when running via Emacs; is it possible to "remove" the windows? (all, or all but the graphics window)? best, -- -tony (Anthony Rossini) Statistics

> -----Original Message----- > From: Luke Tierney [mailto:luke at stat.uiowa.edu] > R does not provide a pairlist data structure. This creates a dilemma > when translating some list-based xlispstat code, or, more > importantly, when implementing an algorithm for which parilists are > the natural data structure to use. > ... > Pairlists were and still are used internally

Dear List, I am trying to solve a problem by the neural network method(library: nnet). The problem is to express Weight in terms of Age , Sex and Height for twenty people. The data frame consists of 20 observations with four variables: Sex, Age, Height and Weight. Sex is treated as a factor, Age and Weight are variables normalized to unity, as usual. I wanted to construct a neural network, and so

Dear LLVM contributors, I am Naoki Shibata, an associate professor at Nara Institute of Science and Technology. I and Hal Finkel would like to jointly propose to add my vectorized math library to LLVM. The library has been available as public domain software for years, I am going to double-license the library if necessary. ******** Below is a proposal to add my vectorized math library,