similar to: scoping

I like Thomas' example. Kurt can you include it in the FAQ. Recently I have been doing a lot of programming that has required either optimization or zero-finding. Unfortunately most of the functions need some arguments to be optimized over and have other parameters that depend on the data but are fixed with respect to optimization. With R scoping rules this is a trivial problem; simply

I like Thomas' example. Kurt can you include it in the FAQ. Recently I have been doing a lot of programming that has required either optimization or zero-finding. Unfortunately most of the functions need some arguments to be optimized over and have other parameters that depend on the data but are fixed with respect to optimization. With R scoping rules this is a trivial problem; simply

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",

luke's demonstration of external references, at www.stat.umn.edu/~luke/file_0.0-0.tar.gz (accessible through the developer page) causes a segfault on solaris 2.8 as soon as library(file) is attempted. it runs fine on RH 7.2. the segfault on solaris occured for R 1.5.1 and 1.6 (8-25 image) a quick poke at gdb (which i can only get running for R 1.6, though this bug report is for 1.5.1)

I would like to write a function that computes Tukey's 1 df for nonadditivity. Here is a simplified version of the function I'd like to write: (m is an object created by lm): tukey.test <- function(m) { m1 <- update(m, ~.+I(predict(m)^2)) summary(m1)$coef } The t-test for the added variable is Tukey's test. This won't work: data(BOD) m1 <- lm(demand~Time,BOD)

Is it correct that there is no way of avoiding deep copying of data structures? Or asked from a different perspective, is it true that there are no pointers? :) (not that I am a fan of pointer, they just let me decide when to do deep copy on my own when the memory manager doesnt do it for me :) ) I was considering writing code in R that would need the internal representation of complex graph

Hi. I'm running into problems with using R functions as callback commands for buttons in Tk. The following Tcl/Tk script creates three buttons. If you press hello it prints hello world. If you press HALLO it prints HALLO WORLD. Not exciting, but I need an example... set tt [toplevel .tt] foreach i {"hello" "HALLO"} { pack [button $tt.b$i -text $i

While I think total compatibility is not possible or even very important I have become aware recently of some fairly low level incompatibilities that have rather serious consequences for interchange between systems. Some of these are possibly well known, but I put them on on record here just in case. (I do not expect any action on these, of course, but people may want to note them, and correct

While I think total compatibility is not possible or even very important I have become aware recently of some fairly low level incompatibilities that have rather serious consequences for interchange between systems. Some of these are possibly well known, but I put them on on record here just in case. (I do not expect any action on these, of course, but people may want to note them, and correct

Prof. Tierney, Thanks very much for the info. Why does the loop work if I move the assignment out of the condition? E.g., the following works: i <- 0 while(i < 5) { i <- i + 1 if(i < 3) next print(i) } Regards, Andy > -----Original Message----- > From: Luke Tierney [mailto:luke at nokomis.stat.umn.edu] > Sent: Tuesday, October 02, 2001 3:36 PM > To: Liaw, Andy

I see some code in R to attach finalizers to external pointer references (Register[C]Finalizer). Anyone have an example of how to code the finalizer? R_RegisterCFinalizer accepts a C function, but I can't see how to get it to operate on the pointer, since the pointer is not passed to the function when its called. RegisterFinalizer takes an R closure, but how is it called from R (tried

Hi! I've been able to configure and make R (1,4,0 linux) except for the gnome support. I've checked all packages and libs mentioned in R-admin.pdf (and by Luke Tierny) to make sure that I have them and even using the following: ./configure --with-gnome --with-gnome-includes=/opt/gnome/include --with-gnome-libs=/opt/gnome/lib --with-libglade-config=opt/gnome/lib I still get: R is now

Does anyone know what exactly S_alloc() does? (Yes, it's porting time again ...) Thanks, -k =-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=- r-devel mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !) To:

I'm curious if any of the core R developers have considered the possibility of hosting R (v2?) on the parrot common runtime environment. Perl6 will generate byte-code for parrot, as will some future version of python. I can imagine both drawbacks and advantages. Some advantages would be fast byte-code execution and freely mixing perl, python and R modules. Anyone looked into this? Tim

Can a C function wrapped with .Call return void? Or must it return a valid SEXP? Thnx. Tim -- Timothy H. Keitt Department of Ecology and Evolution State University of New York at Stony Brook Stony Brook, New York 11794 USA Phone: 631-632-1101, FAX: 631-632-7626 http://life.bio.sunysb.edu/ee/keitt/ -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-devel mailing

By my reading, R has a hard limit on INT_MAX bytes for vector allocations. On the sparcv9 architecture, INT_MAX is a 32 bit quantity, even though pointers can be 64 bits. Has any thought been given to use of > 2GB of virtual memory on systems like this? -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read

I wonder if it was possible (and desireable) to implement means to protect data objects (and functions) from overwriting them. So for instance: > x <- 5 > protect(x) > x <- 8 Error: x is read only Or would that be against the philosophy of R to be compatible to S?! Just a RFC ;-) Yours, Christoph. ps. Your probably know the situations that let you think of such a feature

There is a problem with 'default argument evaluation' when I use an existing function name as argument name : sintest <- function(x, y = 2, sin= sin(pi/4)) { ## Purpose: Test of "default argument evaluation" ## -------- Fails for R-0.49. Martin Maechler, Date: 9 May 97. c(x=x, y=y, sin=sin) } ## R-0.49: R> sintest(1) ##> Error in sintest(1) : recursive

Hi, R-1.4.0 on ES40 under OSF 5.1. I use gcc version 3.0.3 During gnu make I have the message : dumping R code in package `methods' Error in dyn.load(x, as.logical(local), as.logical(now)) : unable to load shared library"/usr/local/R1.4.0/library/methods/libs/methods.so": dlopen: /usr/local/R-1.4.0/library/ctest/libs/ctest.so: symbol "dansari" unresolved Execution

The .Options vector had been introduced a while ago after my suggestion (see Ross's E-mail below). .Options$digits is used be default in several print methods (eg print.lm), however, deparse(.) e.g., uses options()$width, and not .Options$width. Another problem is that .Options is still not in the documentation (on-line help). Before one could add it there, we'd need ``the