similar to: Linux -> Win2K file transfer

OK, a boneheaded question ... I've made a set of packages for my students. I'm serving these packages from my web site in the form of a set of tar.gz source packages (constructed with R CMD build) and a set of .zip Windows binary packages, constructed by cross-compiling according to Brian Ripley's instructions (make pkg-foo in the src/gnuwin32 directory) and then zipping up the

I have found what seems to be a bug in warning(), but perhaps I'm being really boneheaded (it's happened before). Essentially, warning() seems to segfault if its argument is greater than 8191 characters (8192 is defined as BUFSIZE in errors.c, so a quick workaround would be to boost this ...) The bug was initially provoked by trying to concatenate two long tables -- the warning message

I'm sure I'm doing something completely boneheaded here, but I've used this idiom (constructing an interpolation spline and using prediction from a backSpline to find an approximation profile confidence interval) many times before and haven't hit this particular problem: r2 <- c(1.04409027570601, 1.09953936543359, 1.15498845516117, 1.21043754488875,

The trailing backslash seems to be the culprit. After looking at rw1020\bin\INSTALL, I noticed $pkg =~ s/\/$//; which I assume is to strip the trailing slash from a package name before obtaining the package name and cleaning out its directory I added $pkg =~ s/\\$//; immediately after this line. Rerunning Rcmd INSTALL C:\rw1011\src\library\bqtl\ with that change seemed to work OK

Hello! I tried to build the RMySQL package by myself on an NT machine. I have a NT machine with cygwin compiler and activestate Perl installed on it. Perl details: D:\prog\rw1011\src\gnuwin32>perl -v This is perl, version 5.005_03 built for MSWin32-x86-object (with 1 registered patch, see perl -V for more detail) Copyright 1987-1999, Larry Wall Binary build 522 provided by ActiveState Tool

I appreciate Brian and Martin's answers -- and I certainly don't spend as much time & energy maintaining and answering questions about R as they do -- *but* it does seem to me that it would make a number of new (switching) user's lives easier if there were a succinct list of these differences, with a disclaimer ... I would be willing to maintain such a list, but since I

I'm very excited by the new mle package now incorporated in stats4. If possible, I'd like to help develop it. In the past I wrote a similar package (mleprof, available from http://www.zoo.ufl.edu/bolker/R/src), and would like to see if there's anything that my package does that I could contribute (in particular, I'd like to make sure that the code is as robust as possible in

Don't know if this is useful to anyone, but here's a "poor man's" solution I came up with to the CRAN indexing problem ... not as good as having a full-text web link, but it does have some advantages. (1) it's already done. (2) it's relatively easy to download and store this information off-line, and to update it periodically. (3) it doesn't (now) require any

I'm trying to do a simple (?) analysis of a 1D spatial data set, allowing for spatial autocorrelation. (Actually, I'm comparing expected vs. observed for a spatial model of a 1D spatial data set.) I'm using models like gls(obs~exp,correlation=corExp(form=~pos),data=data) or gls(obs~exp,correlation=corLin(form=~pos),data=data) This form is supposed to fit a linear model of

There was some interest in the commands for creating an HTML file of 3D graphics that can be shown with a Java applet. Looking at things I discovered (of course) that I should really clean up quite a few things before releasing it for real. I hope to do some of that this weekend. In the meanwhile, here are a couple of pointers to the Java applet & documentation (apparently free for

I am trying to find a way to analyze a "simple" mixed model with two levels of a treatment, a random blocking factor, and (wait for it) negative binomial count distributions as the response variable. As far as I can tell, the currently available R offerings (glmmGibbs, glmmPQL in MASS, and Jim Lindsey's glmm code) aren't quite up to this. From what I have read (e.g.

I'm getting some odd results computing log-likelihoods with gls using splines with increasing degrees of freedom -- the deviance *increases* substantially with increasing df. (Since spline models with increasing df aren't nested, it need not decline monotonically but I would expect it to have a decreasing trend!) I may just be confused, but I *think* the issue is somewhere within the

I'm trying to answer a question from a student about memory use in R (I won't go into the details right here). I have a really vague memory of having read a document, possibly by Venables or Ripley, discussing the awfulness of memory allocation in S-PLUS, and giving (in the context of a bootstrapping analysis of shoe size data??) some general strategies for conserving memory in S-PLUS.

I'm probably missing something very basic here, but: I've written some C code that I load into R dynamically. In the course of this C code, I generate some multinomial random deviates. I initially used the publically available "randlib" library, which also implements its own random number generator and binomial deviates (which are used to generate the multinomial deviates).

Does the nls package actually allow for weighted nonlinear regression? (i.e., I have data with individual variances associated, I'd like to use 1/var to weight the points.) The "nls" function does have a weights argument, but it doesn't seem to do anything as far as I can tell ... thanks ... Ben Bolker -- 318 Carr Hall bolker at

Guido has fixed Rterm hanging on Windows 2000 in interactive and --ess modes. The problem was that 'PulseEvent' doesn't work under 2000 as documented (and I can find nothing about this in MicroSoft's Knowledge Base except that it is known to happen under a debugger). The cross-compiled pre-release at http://www.stats.ox.ac.uk/pub/bdr/RWin/Rpre now incoporates the fix, and we

This is off-topic (apologies), but I thought I might get a lead or two here. I'm interested in generating random deviates from a multivariate distribution which is a generalization of the beta distribution -- the Bayesian canonical distribution for the parameter estimates of a multinomial distribution. Given a vector (length n-1) of probabilities p and a vector (length n) of shape

Dear R people: I am trying to download the package polynom to R version 1.0.1.1. on Windows. Here are my commands and output: > install.packages("polynom",lib="c:\rw1011\library",CRAN="http://www.r-project.org/src/contrib/") Error in start[k]:(start[k + 1] - 1) : NA/NaN argument In addition: Warning message: Download had nonzero exit status in:

I'm having problems (or to be precise a student is having problems, which I'm having problems helping her with) trying to use glm.nb() from the MASS package to do some negative binomial fits on a data set that is, admittedly, wildly overdispersed (some zeros and some numbers in the hundreds). glm.nb is failing to converge, and furthermore is (to my surprise) producing values of theta

I want to add my two cents of congratulation to the R core team. I also want to encourage everyone who uses R to be an active, not a passive user -- the fastest way R will get better is if the folks who use it submit bug reports, suggestions, R code for their particular fields, documentation, even patches and code fixes. R is big and complicated enough now that we can't leave testing to