similar to: My surprising experience in trying out REvolution's R

Hello, everyone! I picked up R several months ago and have adopted it as my choice for statistical programming. Coming from a Java background, I can honestly say that R is not only free, it is better tha S-plus: the lexical scope in R makes it very simple to simulate Java's object model. For this, I encourage everyone to read the artcle: Robert Gentleman and Ross Ihaka (2000) "Lexical

Dear all, I get an error message when I use polr() in MASS. These are my data: skugg grupp frekv 4 1 gr3 0 5 2 gr3 3 6 3 gr3 6 10 1 gr5 1 11 2 gr5 12 12 3 gr5 1 > > summary(polr(skugg ~ grupp, weights=frekv, data= skugg.cpy1.dat)) Error in optim(start, fmin, gmin, method = "BFGS", hessian = Hess, ...) :

Hi, I'm new to R and I've run into a problem that I'm not really sure how to express properly in the language. I've got a data table that I've read from a file containing some simple information about the performance of 4 algorithms. The columns are the name of the algorithm, the problem instance and the resulting score on that problem (if it wasn't solved I mark that

Hi everyone. I have these data: probClass<-seq(0,0.9,0.1) prob1<-c(0.0070,0.0911,0.1973,0.2949,0.3936,0.5030,0.5985,0.6869,0.7820,0.8822) prob2<-c(0.0066,0.0791,0.2358,0.3478,0.3714,0.3860,0.6667,0.6400,0.7000,1.0000) # which I'm plotting as follows: plot(probClass,prob1,xlim=c(0,1),ylim=c(0,1),xaxs='i',yaxs='i',type="n") lines(probClass,prob1)

Hello Can someone help me with the following, specifically in judging whether a matrix exists. I have trouble with the first line below. In this case, matrix obj$hessian exists and is 74 x 74. I receive the error message: Warning message: In all(w$hessian) : coercing argument of type 'double' to logical Thank you all. --- if (!all(obj$hessian)|OPG){ vb<-obj$gradientObs;

It runs more than twice as slowly using 8 core than using a single core in inverting large matrix. Tested on 8 core Windows XP 64 machine. > n = 1000 > n.simu = 100 > func1 = function() + { + x = rnorm(n*n) + dim(x)=c(n,n) + y = solve(x) + } > > setMKLthreads(1) > system.time(for(i in 1:n.simu) func1()) user system elapsed 69.48 2.42 71.91

Dear all, I have used polr in MASS but I am uncertain about the summary(polr.object) interpretation and would be happy for help on that. This is my summary: > summary(shade.polr) Re-fitting to get Hessian Call: polr(formula = as.ordered(shade) ~ as.factor(objekt), data = sof, weights = as.numeric(frek)) Coefficients: Value Std. Error t value 2.1699520 0.3681840 5.8936612

This is a forward of a question from the SourceForge LLVM forum. If anyone has experience with Cygwin and building the C front-end there, please reply and CC Alex. --- Post by Alex Vinokur below --- =============== Windows 2000 GNU gcc 3.3.3 (cygwin special) =============== ./configure ./make I have got compilation error ------------------------------- make[1]: Entering directory

First, I love R and am grateful to be using this free and extremely high quality software. Recently I have been comparing two algorithms and naturally I programmed in R first. It is so slow that I can almost feel its pain. So I decided to do a comparison with Java. To draw 500,0000 truncated normal, Java program takes 2 second and R takes 72 seconds. Not a computer science major, I find it hard

Hi! Setup: Debian, Samba 4.11 After successfully setting up samba4, I want this machine to authenticate against the running samba4-server. I've created /etc/krb5.conf: [libdefaults] default_realm = ADA.DE <http://ada.de/> dns_lookup_realm = false dns_lookup_kdc = true kdc_timesync = 1 ccache_type = 4 forwardable = true proxiable

Dear participants to the list, this is my problem: I want to obtain an expression that represents the second derivative of one function. With "deriv3" (package "stats") it is possible to evaluate the second derivative, but I do not know how I can get the (analytical) expression of this derivative. For example: Suppose that I have a function of this form:

Hi! Samba server set up for domain rufus.ada.de a proxy is reachable in proxy.ada.de. resolv.conf is configured to be: domain rufus.ada.de. search rufus.ada.de. miri.ada.de. ada.de. nameserver 127.0.0.1 Internal servers are handled (by an external DNS, our internal samba DNS forwards to): # host proxy.ada.de proxy.ada.de has address 10.169.16.3 For deb.debian.org: # host deb.debian.org

Hi, I recently installed Samba 3.0.11 on Suse 9.2 and have managed to get a simple domain working (people can logon, share printers etc), however, I'm having trouble setting up trusts between the new samba domain and the old NT domain. I'm following this help: http://www.samba.org/samba/docs/man/Samba-HOWTO-Collection/InterdomainTr usts.html, specifically, using samba as the

Hello, I am using xyplot and am happy with my graph, *except* that I cannot get the symbols to be filled. I tried using bg=c("red3","red","black","lightgrey")) in both the key and the xyplot function, that that was obviously not the answer. I would like the sybols to be filled with the same colors as the lines. Does anybody have an answer? In case

I'm trying to get the Ada gcc front-end to work with LLVM. This series of patches gets things to the point where the Ada compiler builds, though it fails to build itself or the runtime. While I was there I resurrected fortran and java: as with Ada, the compilers build but not the runtimes. Also, I've replaced the gcc 4.0 Ada front-end with a back-port of the Ada front-end from FSF gcc

I'm having problems building llvm-gcc for Ada, which may or may not be similar to the trouble Andre was having recently. I'm trying to build it on Fedora 10 (32-bit), using the instructions on the web site. The make terminates with a gnatbind error: gcc -c -g -O2 -gnatpg -gnata -I- -I. -Iada -I../../llvm-gcc-4.2/gcc/ada ../../llvm-gcc-4.2/gcc/ada/gnat1drv.adb -o ada/gnat1drv.o

On Tue, Oct 22, 2019 at 5:07 PM Rowland penny via samba < samba at lists.samba.org> wrote: > On 22/10/2019 15:52, Thomas Schweikle wrote: > > > > On Mon, Oct 21, 2019 at 5:03 PM Rowland penny via samba > > <samba at lists.samba.org <mailto:samba at lists.samba.org>> wrote: > > > > On 21/10/2019 15:47, Thomas Schweikle via samba wrote: >

Hi I am trying to recover the hessian of a problem optimised with box-constraints. The problem is that in some cases, my estimates are very close to the boundary, which will make optim(..., hessian=TRUE) or optimHessian() fail, as they do not follow the box-constraints, and hence estimate the function in the unfeasible parameter space. As a simple example (my problem is more complex though,

I am trying to build llvm-gcc-4.2 but cannot figure out how to get past the problem described below. Any help will be much appreciated. Regards Roger gnatbind -C -I- -I. -Iada -I../../llvm-gcc-4.2/gcc/ada -o ada/b_gnat1.c -n ada/gnat1drv.ali error: "s-imenne.adb" must be compiled error: ("/opt/gnat-gpl-2009/lib/gcc/i386-apple-darwin10.2.0/4.3.4/adalib/s-imenne.ali" is obsolete

Dear R-devel, REvolution appear to be offering ParallelR only when bundled with their R Enterprise edition. As such it appears to be non-free and closed source. http://www.revolution-computing.com/products/parallel-r.php Since R is GPL and not LGPL, is this a breach of the GPL ? Below is the "GPL and ParallelR" thread from their R forum. mdowle > It appears that ParallelR