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...-g -02" neither build uses a BLAS. Both builds are installed on the same machine, and the same disk. The machine has virtually no load; R is one of the only processes running during these timings: First comparison: solve on a large matrix >echo 'set.seed(1);M<-matrix(rnorm(9e6),3e3);system.time(solve(M))' | /disk/loneres01/R-2.1.0-32bit/bin/R -q --vanilla > set.seed(1);M<-matrix(rnorm(9e6),3e3);system.time(solve(M)) [1] 713.45 0.38 713.93 0.00 0.00 > >echo 'set.seed(1);M<-matrix(rnorm(9e6),3e3);system.time(solve(M))' | /disk/loneres01/R-2.1....

...es a BLAS. Both builds are installed on the same > machine, and the same disk. The machine has virtually no load; R is > one of the only processes running during these timings: > > First comparison: solve on a large matrix > > >echo 'set.seed(1);M<-matrix(rnorm(9e6),3e3);system.time(solve(M))' | > /disk/loneres01/R-2.1.0-32bit/bin/R -q --vanilla > > set.seed(1);M<-matrix(rnorm(9e6),3e3);system.time(solve(M)) > [1] 713.45 0.38 713.93 0.00 0.00 > > > > >echo 'set.seed(1);M<-matrix(rnorm(9e6),3e3);system.time(solve(M))...

Hi again, thanks a lot for the quick answer. I just forgot the comma, always these stupid mistakes... Anyways, as I said before, I have two data.frames containing about 1000 rows and I would like to avoid looping through all of them... In each data.frame are coordinates (x,y,z), so every row is giving the information on one single point. I would like to calculate the distance from each point

Dear R-devel, Has anyone played with this? http://www.amd.com/us-en/Processors/DevelopWithAMD/0,,30_2252_2282,00.html <http://www.amd.com/us-en/Processors/DevelopWithAMD/0,,30_2252_2282,00.html> . I'll probably give it a shot... Best, Andy Andy Liaw, PhD Biometrics Research PO Box 2000, RY33-300 Merck Research Labs Rahway, NJ 07065 mailto:andy_liaw@merck.com

Hi, I have around 300 files with the x, y and z coordinates of a DEM that I would like to join in a single data frame object. I know how to automate the import of the 300 data frames. in Bash ls > names in R names<-scan(names...) With rep() and data.frame() construct a series of read.table() commands, which you write to a file and execute them with source(). I do not know however how

...tona =28ladies and men=A1=AFs=29=3C=2Ffont=3E=3C=2Fspan=3E=3C=2Fp=3E =3Cp class=3D=22MsoNormal=22=3E=3Cspan lang=3D=22EN-US=22=3E=3Cfont face=3D=22Verdana=22=3E2=2E Blancpain=3C=2Ffont=3E=3C=2Fspan=3E=3C=2Fp=3E =3Cp class=3D=22MsoNormal=22=3E=3Cspan lang=3D=22EN-US=22=3E=3Cfont face=3D=22Verdana=22=3E3=2E Fortis=3C=2Ffont=3E=3C=2Fspan=3E=3C=2Fp=3E =3Cp class=3D=22MsoNormal=22=3E=3Cspan lang=3D=22EN-US=22=3E=3Cfont face=3D=22Verdana=22=3E4=2E Jaeger LeCoutre=3C=2Ffont=3E=3C=2Fspan=3E=3C=2Fp=3E =3Cp class=3D=22MsoNormal=22=3E=3Cspan lang=3D=22EN-US=22=3E=3Cfont face=3D=22Verdana=22=3E5=2E Longines=...

Dear R-help, A colleague of mine was running some code on two of our boxes, and noticed a rather large difference in running time. We've so far isolated the problem to the difference between R 1.7.1 and 1.8.0, but not more than that. The exact same code took 933.5 seconds in 1.7.1, and 3594.4 seconds in 1.8.1, on the same box. Basically, the code calls boot() to bootstrap fitting mixture

...ON__.21073+0xd> > 3d4: 6f outsl %ds:(%esi),(%dx) > 3d5: 6a 65 push $0x65 > 3d7: 63 74 73 2f arpl %si,0x2f(%ebx,%esi,2) > @@ -11642,13 +11642,13 @@ > 3e1: 65 gs > 3e2: 2f das > 3e3: 63 6f 6d arpl %bp,0x6d(%edi) > - 3e6: 70 69 jo 451 <__FUNCTION__.21323+0x1> > + 3e6: 70 69 jo 451 <__FUNCTION__.21236+0x1> > 3e8: 6c insb (%dx),%es:(%edi) > 3e9: 65 gs > -...

The saga continues. I've been tracking the interface changes and merging them with the refactoring work I'm doing. I got as far as building stage3 of llvm-gcc but the object files from stage2 and stage3 differ: warning: ./cc1-checksum.o differs warning: ./cc1plus-checksum.o differs (Are the above two ok?) The list below is clearly bad. I think it's every object file in the