RE: [R] More precision problems in testing with Intel compilers

comparisons in nafns.R appear to fail by a factor of about 2.5. There are some examples with extra prints. -Frank -Original Message- From: Martin Maechler [mailto:[EMAIL PROTECTED] Sent: Friday, August 20, 2004 6:39 PM To: Samuelson, Frank* Cc: '[EMAIL PROTECTED] ' Subject: RE: [R] More

RE: [R] R-devel and gcc 3.4

I encountered a similar problem with 1. Intel compilers. 2. gcc when I turn off optimizations (no -Ox) -Original Message- From: Robert Kruus [mailto:[EMAIL PROTECTED] Sent: Friday, August 20, 2004 3:14 PM To: [EMAIL PROTECTED] Subject: [R] R-devel and gcc 3.4 I tried

[R] precision problems in testing with Intel compilers

I compiled the 1.9.1 src.rpm with the standard gnu tools and it works. I tried compiling the 1.9.1 src.rpm with the Intel 8 C and FORTRAN compilers and it bombs out during the testing phase: comparing 'd-p-q-r-tests.Rout' to './d-p-q-r-tests.Rout.save' ...267c267 df = 0.5[1] Mean

RE: [R] More precision problems in testing with Intel compilers

2.225074e-308 2.227299e-308 2.447581e-308 Does anyone really care about being correct to 1 unit of machine precision? If you do, you have a bad algorithm. -Original Message- From: Samuelson, Frank* [mailto:[EMAIL PROTECTED] Sent: Thursday, August 19, 2004 12:11 PM To: '[EMAIL PROTECTED

Re: [R] Stacking Vectors/Dataframes

or something like new.frame-rbind(x.frame,y.frame); # A frame of the right size. new.frame[seq(1,nrow(x.frame),by=2),] - x.frame # Assign every other row new.frame[seq(2,nrow(x.frame),by=2),] - y.frame # Assign every other row. -Original Message- From: Laura Quinn [mailto:[EMAIL

RE: [R] Stacking Vectors/Dataframes

Oops there was a bug... new.frame-rbind(x.frame,y.frame); # A frame of the right size. new.frame[seq(1,nrow(new.frame),by=2),] - x.frame # Assign every other row new.frame[seq(2,nrow(new.frame),by=2),] - y.frame # Assign every other row. -Original Message- From: Samuelson, Frank

RE: [R] Web-application using R

http://franklin.imgen.bcm.tmc.edu/R.web.servers/index.html -Original Message- From: Tae-Hoon Chung [mailto:[EMAIL PROTECTED] Sent: Tuesday, May 18, 2004 9:59 PM To: [EMAIL PROTECTED] Subject: [R] Web-application using R Hi, all; Our group is planning to develop a web-based analysis

RE: [R] cgi/servlets/httpd in R

looking for. They're not on CRAN and weren't listed in the faq. -Frank -Original Message- From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] Sent: Friday, May 07, 2004 12:50 PM To: Samuelson, Frank* Subject: Re: [R] cgi/servlets/httpd in R Samuelson, Frank* wrote: Currently I use

RE: [R] cgi/servlets/httpd in R

Here's a related question: Do any of the mentioned R-web interfaces (Rweb, R-Online, CGIwithR, RSPerl) support reusing the same R process, eliminating the startup overhead? This would be useful to me as well. Currently I use such a method on my computing cluster: All 40 compute nodes run an R

RE: [R] openMosix vs SNOW: redhat kernel causing slowdown?

You're using sockets for connection in snow? or pvm or mpi? There's nothing magical about snow. It just uses the socket connections provided in R, which in turn uses regular BSD sockets. -Original Message- From: Jim Thomas [mailto:[EMAIL PROTECTED] Sent: Thursday, April 29, 2004 6:13

RE: [R] projection pursuit

Yes, xgobi does projection pursuit. Though I'm not so sure about 'projection pursuit density estimation'. Not that I know what that is. -Original Message- From: Davis, Sean (NIH/NHGRI) [mailto:[EMAIL PROTECTED] Sent: Wednesday, March 17, 2004 10:44 AM To: '[EMAIL PROTECTED] '; '[EMAIL

Re: [R] grep

as.integer(x/10^(as.integer(log10(x -Original Message- From: Ernesto Jardim [mailto:[EMAIL PROTECTED] Sent: Friday, March 12, 2004 12:08 PM To: Mailing List R Subject: [R] grep Hi, I want to use the first digit of the elements of a vector. I've tried grep but didn't work. Any

[R] Jackknife after bootstrap influence values in boot package?

Is there a routine in the boot package to get the jackknife-after- bootstrap influence values? That is, the influence values of a jackknife of the bootstrap estimates? I can see how one would go about it from the jack.after.boot code, but that routine only makes pretty pictures. It wouldn't be

RE: [R] Area between CDFs

mf-c(male,female) ord-order(mf); v-c(rep(1/length(male),length(male)),rep(-1/length(female),length(female))) ; mf-mf[ord]; v-v[ord]; sum(diff(mf)*(cumsum(v)[1:(length(v)-1)])) You may not want to integrate cdfs. They're already probabilities. :) Nice analytic statistics exist for just the

Re: [R] how much memory? was: R does in memory analysis only?

Is there a way to tell how much memory the computer running R has? -Frank -Original Message- From: David Smith [mailto:[EMAIL PROTECTED] Sent: Monday, February 09, 2004 1:32 PM To: Ross Boylan Cc: r-help Subject: RE: [R] R does in memory analysis only? Ross Boylan writes: R works