similar to: OpenSSH 2.9p1 on Solaris 7 x86 problems

Thanks everyone for all of your help.. and thanks for being patient. my printing LARGE files is now working correctly! Robert

I should probably have been able to figure this out, but ... I have a package with some C code in it that I've been cross-building on my Linux machine to run under Windows. I had it working under 1.3.1, but it seems to have stopped with 1.4.1. Building with a version of i386-mingw32msv-gcc recently downloaded from Brian Ripley's Rtools page (--version 2.95.2), under 1.4.1 on Linux, it

Dear all, I have this setup on Ubuntu 12.04 and using puppetmaster/puppet 2.7.14 and puppetdb/puppetdb-terminus 0.9.0 from puppetlabs. My puppetmaster also run puppetdb. I also use hiera in this setup. hadoop4 is puppetmaster and hadoop02 is puppet client. puppet node status hadoop4.west.net hadoop4.west.net Currently active Last catalog: 2012-06-05T23:23:33.159Z Last facts:

[ Sorry if this ends up multiple posted; your web pages still point ] [ the mailing list archives at lists.sourceforge.net -- sketch ] Hi, I've committed patches to pkgsrc to get flac compiling with SunPro under Solaris. As there are quite a number of small tweaks necessary, I hoped you may be interested in merging them into flac to avoid me having to keep the diffs up-to-date :-)

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

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 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

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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

Just in case anyone cares or is hitting the same problem: to install current mgcv (1.0-5) on 1.9.0 on Knoppix/Debian unstable I had to: # cd /usr/lib # ln -s /usr/lib/atlas/libblas.so.3 libblas-3.so # ln -s /usr/lib/atlas/liblapack.so.3 liblapack-3.so Otherwise compilation couldn't find -lblas-3 or -llapack-3 (I could have gotten away with the links in /usr/lib/atlas instead of /usr/lib,

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

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 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

Can we add a note to the documentation that setting par(fig) resets par(mfrow) and par(mfcol) to c(1,1)? Or are mfrow and mfcol now deprecated in favor of all the split screen stuff? (I was spending the morning trying to write some code that plotted multiple subplots within whatever plot region was active at the moment; I was able to set and reset fig successfully, but got very confused as to

Just thought people might be interested to know that the latest version of R-win now runs under Wine, the windows emulator for Linux (ver. 20001202). (I originally tried this a couple of releases back because a student seemed to be having system-specific problems and I was attempting to be lazy.) The recent switch from crtdll to msvcrt seems to have helped with Wine compatibility. I

There are a few inconsistencies, at least, in some of the functions that generate random deviates from particular distributions (I think they're bugs because they're inconvenient, but maybe someone can make an argument for the current behavior). If people think these are really bugs I can submit them, together or separately. 1. rlnorm(n,mean,sd) gives NaN for sd=0, rather than always

For various reasons, I've opted to make my packages available from my own web page rather than submitting them to CRAN (mostly laziness -- for a long time I didn't have the packages quite cleaned up enough to pass all the tests). It occurred to me to wonder about the scripts used by CRAN maintainers to generate the PACKAGES file, and to generate PACKAGES.html from PACKAGES. Are

Not really a bug (I eventually discovered), but ... When running GaussRF()/DoSimulateRF() with n>1, the default pch="!" prints backspaces to the terminal, which causes problems (LaTeX barfs) if you're running this within an Sweave() job. Setting RFparameters(pch="") fixes the problem. Could put this in the documentation, but I don't know where you could