similar to: Modifying the parameters for a function

SAS has something called the "cubic criterion" cutoff for finding the most appropriate number of clusters. Does R have anything that would replicate that? I've been searching the lists and can't seem to find anything that would point me in the right direction. Thank in advance, Philip Bermingham

Are the functions 'R_Unserialize' and 'R_InitFileInPStream' allowed to be used in R packages? I guess I'm just not clear on the implications of this comment in 'Rinternals.h': /* The connection interface is not yet available to packages. To allow limited use of connection pointers this defines the opaque pointer type. */ I have a function in the

cut.Date and cut.POSIXt indicate that the breaks argument can be an integer followed by a space followed by "year", etc. but it seems the integer is ignored. For example, I assume that breaks = "3 months" is supposed to cut it into quarters but, in fact, it cuts it into months as if 3 had not been there. > d <- seq(Sys.Date(), length = 12, by = "month") >

SAS Enterprise Miner recommendeds to standardize using X / STDEV(X) versus [X ? mean(X)] / STDEV(X) Any thoughts on this? Pros Cons Philip

I've noticed a change in the way grep() behaves between the 1.9.0 release and a recent R-patched. On 1.9.0 I get the following output: > x <- dget(file = url("http://www.biostat.jhsph.edu/~rpeng/names.R")) > length(grep("^l\\w+tmean", x, perl = TRUE, value = TRUE)) [1] 84 And on R-patched (2004-06-11) I get > x <- dget(file =

Since compiling R 2.5.0 from source on my Mac (PowerBook) I've noticed some strange behavior when plotting. I'm not sure if it's a problem with my setup/compilation because I feel like a problem as basic as this one would have been reported already. I'm running R with X11 and R was built with gcc 4.0.1. Basically, I run > plot(0, 0) > dev.off() X11 4 Warning message:

I have written a function to plot data which will be used for various different chemistries. A simplified version is: plot_data <- function(risk,levels,chem,sd2,measure){ plot(risk, levels,main=paste ("per", sd2, measure, "\n in usual", chem)) } The problem is with the title. This works fine if the variable "chem" is just text, but if it is an expression then

Hi All, is there any general advice about speeding up recursive functions (not mentioning 'don't use them')? Regards, Federico Calboli -- Federico C. F. Calboli Department of Epidemiology and Public Health Imperial College, St. Mary's Campus Norfolk Place, London W2 1PG Tel +44 (0)20 75941602 Fax +44 (0)20 75943193 f.calboli [.a.t] imperial.ac.uk f.calboli [.a.t]

I was sitting in the coffee room at work listening to people complain about a recent seminar about nanotechnology using the terms nanofluidics, nanofactory, nano-this, and nano-that ... I found myself thinking "well the speaker should just have said with(nano, ...) Un(?)fortunately there's no-one here I can share that thought with. -- 620B Bartram Hall

All, Does anyone know if there is an option I can set to turn screen-buffered output on and off with the win32 rgui? (Apart from the point and click method). I am running some simulations where it is useful to watch output but it gets mildly tiresome having to manually switch things on and off via the gui. Thanks Toby. > version _ platform i386-pc-mingw32 arch

Could anyone advise me how to allocate 1.5Gbyte memory for R on a Dell laptop running XP professional with 2G memory? I have tried "C:\Program Files\R\rw1081\bin\Rgui.exe" --max-vsize=1400M but I only get only 500MB for R actually. I also tried memory.limit(2^30) in R and got error of: Error in memory.size(size) : cannot decrease memory limit Yi-Xiong

Please point me to the documentation explaining why some of the functions returned by calling methods() are marked as "non-visible" and whether there is indeed no way of viewing the R code of such functions thanks Steve _________________________________________________________________

I'm trying to evaluate a pre-built expression using eval(), e.g. dataset <- data.frame(y = runif(30, 50,100), x = gl(5, 6)) # one like this mf <- expression(model.frame(y~x)) eval(mf, dataset, parent.frame()) # rather than this eval(expression(model.frame(y~x)), dataset, parent.frame()) In the example above there is no problem, the problem comes when I try to do a similar thing

Hi, We are planning to buy a 64-bit Linux machine which will mainly run R. There was an interesting thread on 64-bits on r-help back in April that basically confirmed that the 64-bit R is fine as long as the length of an atomic object is less than 2^31 - 1. My specific question is on which 64-bit Linux distros (SUSE or RedHat) and processors R is *known* to build out-of-box and run well. Ease

Hi R-Experts, I'm having a problem with reading a large data file which is in .csv format and size is 120 MB (app.). I was trying to use RODBC package but I found RODBCconnectExcel function only. And can I convert this file to .dbf format? How can I read this file? And also let me know if this was a file in .sas7bdat format, what should I do? Thanks in advance.

I have changed the default in save() to compress = !ascii. This seems quite safe, as almost always save() is called explicitly and people will appreciate that it might take a little time to save large objects (and depending on your system, compression could even be faster). Should we also change the default in save.image()? That is almost always used implicitly, via q(), a menu .... There

--KsGdsel6WgEHnImy Content-Type: text/plain; charset=iso-8859-1; format=flowed Content-Disposition: inline Content-Transfer-Encoding: 8bit Hi, people. Wandering in R archives, and seeing the message attached below, I noticed that: mapply(rep,times=1:4, MoreArgs=42) still segfaults on R 2.2.0, and thought I should be a good citizen and report it, even if I do not have an actual problem

I'm hoping someone can help me. I have downloaded the proj4R.zip and under my version of R (2.3.1) I install the package from local zip file. This worked great. I then type library(proj4R) to load the library and I get the error: Error in library(proj4R) : 'proj4R' is not a valid package -- installed < 2.0.0? I have read through the install documentation and have downloaded and

I'm trying to compile R on Windows 2003 Server and following the instruction laid out in R inst and admin manual I continue to get this error: make: ./Rpwd.exe: Command not found make[1]: ./Rpwd.exe: Command not found /cygdrive/d/rp/tools/bin/make --no-print-directory -C front-ends Rpwd /cygdrive/d/rp/tools/bin/make -C ../../include -f Makefile.win version make[3]: sh.exe: Command not

I've noticed something recently in R-beta that has changed since R 2.4.1 and I'm not sure if it's a readline problem or an R problem. I am on a Linux FC5 system and in R 2.4.1 I could do load("my-directory/ and then hit TAB and it would list all of the files in 'my-directory', after which I could start typing the beginning of the file, hit TAB again, and it would