search for: fws4

I checked the help and the mailing list archives, but I can find no mention of a routine that calculates higher moments like skewness and kurtosis. Of course, these are easy enough to write myself, but I was thinking that they MUST be in here. Am I wrong? Thanks. -Frank

...exponent -- 7 values [1] 2.002566e-308 2.222849e-308 2.225074e-308 2.225074e-308 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:FWS4 at cdrh.fda.gov] Sent: Thursday, August 19, 2004 12:11 PM To: 'r-help at stat.math.ethz.ch ' Subject: [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 F...

It appears that the maximum number of connections available in R is about 48. Can anyone tell me how to bump this number up? I've been perusing the source, but any info would speed things up. Is there a reason that it was set to such a low number? Thanks for any help. -Frank

I'm running R-2.0.0 (yesterday's snapshot)in its own directory, and everything works great, except: > .Random.seed Error: Object ".Random.seed" not found Does 2.0.0 not use .Random.seed for saving, etc, like it says in the help page? Thanks for any help. -Frank

Is there a way to tell how much memory the computer running R has? -Frank -----Original Message----- From: David Smith [mailto:dsmith at insightful.com] 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 only on problems that fit into (real or virtual) memory. > ... does S-Plus have the same

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

If anyone has a few extra CPU cycles to spare, I'd appreciate it if you could verify a problem that I have encountered. Run the code below and tell me if it crashes your R before completion. library(lme4) data(bdf) dump<-sapply( 1:50000, function(i) { fm <- lme(langPOST ~ IQ.ver.cen + avg.IQ.ver.cen, data = bdf, random = ~ IQ.ver.cen | schoolNR); cat("

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 hard to write, but I find it hard to believe this isn't part of the package already. Thanks

How does one loop over factors? Perhaps this is a newbie question. I tried: > b [1] caseX caseY caseZ Levels: caseX caseY caseZ > length(b) [1] 3 > > for (i in b) { + print (b == i) ; + print (i); + } [1] FALSE FALSE FALSE [1] 1 [1] FALSE FALSE FALSE [1] 2 [1] FALSE FALSE FALSE [1] 3 > But that strangely doesn't work. I must protest the implications of the above. i , as

Anybody know where I can get the Pinheiro/Bates book? I can't find a bookstore w/ stock and the publisher says they don't know when they'll have it again. Thanks. -Frank

1. How do I get a grid in the background of my xyplots, like Figure 1 of http://www.ci.tuwien.ac.at/Conferences/DSC-2001/Proceedings/Murrell.pdf 2. In my scatter xyplot I have multiple columns and rows of panels. I would like to have different y scales for panels in different rows (panels in same rows have same y scales). In such a scenario, only the outside axes are necessary,

I originally posted this to R-help, but here is probably a better place. I have a rather complex routine which works great in R. Then I bootstrap it. After running a few minutes it typically segfaults, though it happens very randomly. This happens w/ 1.9.0 and 1.9.1 on Fedora1 and a Scyld (RH7.3) system. Traces always point back to routines in src/main/memory.c, though often not the same

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 relative difference: 5.001647e-10" --- > df = 0.5[1] TRUE