similar to: strptime(): on Linux system it seems to call system time?

Dear List, For what I understand, strptime() simply converts from one class representation to another; i.e., from character to POSIXct/POSIXlt. One strange feature of this command running on Linux is that there are repeated calls to system time (as was revealed in a trace of system calls), which considerably affect performance. These system calls end up taking almost 75% of the execution

Hi all I am trying to build an R package, which I have successfully done many times before, but have an error I cannot trace. I hope someone can help me. Here's is some edited output (full output below if it is useful): pdunn2 at PDunnUbuntu:~/DSdata$ R CMD build GLMsData * checking for file 'GLMsData/DESCRIPTION' ... OK * preparing 'GLMsData': * checking DESCRIPTION

Dear R experts: I just tried some simple test that told me that hand computing the OLS coefficients is about 3-10 times as fast as using the built-in lm() function. (code included below.) Most of the time, I do not care, because I like the convenience, and I presume some of the time goes into saving a lot of stuff that I may or may not need. But when I do want to learn the properties of an

Dear R Helpers, A few weeks ago I asked for some help on how to accomplish modifications to data in a set of data frames. As part of that request I mentioned that I realized that one way to accomplish my goal was to put the data frames together in a list but that I was looking for a way to do it with data frames and a loop because I "believe the better thing is to work df by df for my

I am comparing two different algorithms in terms of speed and memory usage. I can calculate the processing time with proc.time() as follows but am not sure how to calculate the memory usage. ptm <- proc.time() x <- rnorm(1000000) proc.time() - ptm I would like to be within R itself since I will test the algorithm several hundred times and in batch mode. So manually looking up

Is it an undocumented (at least I missed it if it's documented) feature of the reshape function to do numeric variables followed by character? I ask because that seems to be the case below. > str(rcw) 'data.frame': 23 obs. of 21 variables: $ ICU : int 1 18 17 9 22 19 6 16 25 26 ... $ Q6.RC.1 : chr "SM" "JF" "IW"

Dear R People: I'm building a packages on an Ubuntu Karmic Koala 9.10 system and am getting the following errors: * checking PDF version of manual ... WARNING LaTeX errors when creating PDF version. This typically indicates Rd problems. LaTeX errors found: ! Font T1/ptm/m/n/10=ptmr8t at 10.0pt not loadable: Metric (TFM) file not found . <to be read again> relax l.7

Hello, (Apologies for length, wanted to get all the relevant detail in that I know of). I've been having a lot of trouble with some code for an inventory analysis problem I was doing, and finally came to the conclusion that it appears that choose() is returning incorrect values. Specifically: ------------- Browse[1]> nn [1] 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 3 3 3 3 3 3 3

Hi, I'm Sorry for any cross-posting. I've reviewed the archives and could not find an exact answer to my question below. I'm trying to generate very large sparse matrices (< 1% non-zero entries per row). I have a sparse matrix function below which works well until the row/col count exceeds 10,000. This is being run on a machine with 32G memory: sparse_matrix <-

Dear listers, I just run R CMD check on an update of one of my packages. All seems fine but after having gone through all the Rd-file and example checking and so on, I get the following kind of errors: LaTeX errors when creating PDF version. This typically indicates Rd problems. LaTeX errors found: ! Font T1/ptm/m/n/10=ptmr8t at 10.0pt not loadable: Metric (TFM) file not found . <to be read

Hello R Community, I've been run the following codes. However, I've been getting an unusual segfault that I'm unable to trace its origin. Please give me a light to decipher the "caught segfault" Thanks for you attention. Bernardo. > options(STERM='iESS', editor='emacsclient') > rm(list = ls()) > > source("fgenIGLD.R") #RNG

We have a 32 GB RAM server running about 14 zones. There are multiple databases, application servers, web servers, and ftp servers running in the various zones. I understand that using ZFS will increase kernel memory usage, however I am a bit concerned at this point. root at servername:~/zonecfg #mdb -k Loading modules: [ unix krtld genunix specfs dtrace uppc pcplusmp ufs md mpt ip indmux ptm

Hi, I am using Matt McCray''s theme generator. http://rubyforge.org/projects/theme-generator/ Everything works fine, but rendering an action in a controller using the AppMailer raises this: undefined method `current_theme'' for #<AppMailer:0x39df950> Is there someone who could help me ? Thanks ! Mickael. Traces:

Hi, Has anyone had any luck looking into this by any chance ? > On Mon, Aug 04, 2008 at 02:34:23PM -0400, Jeff Wieland wrote: >> Since we upgraded OpenSSH from 5.0p1 to 5.1p1 on our Solaris 8 boxes >> (I know, I know, we should upgrade or retire them...), we've started >> experiencing problems with slogin'ing into these boxes, running vi, >> and pasting text

Hello, I am working on backend development and would like to utilize my target's MCAsmParser inside of an MCInst-level class implementation. I noticed that the AsmParser is registered with the target registry however I am having no luck grepping for a "template" of how to instantiate it and have yet to find specific documentation on how it is done. Any ideas or help is greatly

https://bugzilla.mindrot.org/show_bug.cgi?id=2565 Bug ID: 2565 Summary: High baud rate gets sent, solaris closes pty Product: Portable OpenSSH Version: 7.1p2 Hardware: Sparc OS: Solaris Status: NEW Severity: minor Priority: P5 Component: sshd Assignee: unassigned-bugs at

Suppose x <- array(c(1,1,1,1,2,2,2,2), dim = c(2,2,2)) y <- c(5, 10) Now I would like to multiply x[, , 1] with y[1] and x[, , 2] with y[2]. Possible solution is a for-loop: for (i in 1:2) { x[, , i] * y[i] } Another possible solution is this construction: as.vector(t(replicate(nrow(x) * ncol(x), y))) * x I find that these two solutions have a relatively large computation

Hi; I've been asked to take a (remote) look at an Asterisk@home system running asterisk 1.0.9 on Centos 3.5. It's running chan_capi-0.3.5 It has an AVM c2 ISDN card which is plugged into what I believe to be a couple of BT ISDN2e "System Access" (i.e. point to point) connections. We've placed a support call to BT to find out how these lines are actually provisioned, but

I''ve got a new system with Dual Quad Core Intel E5520 processors and Intel 82576 NICs built on the motherboard (this is a Supermicro Nehalem based blade). I''m running Xen 3.4.2, but I''ve also tried 3.4.1 and had the same problem. Dom0''s network works flawlessly, but the DomU systems all have network issues. Whenever they transmit large packets, it is as if

Dear Dr. Gilbert, Dr. Varadhan and all R-help list members, I'm using the function BBsolve( ) and I have some questions on the stopping criterion "maxit" and "noimp" specified in the option "control". Here are two such examples I'm having problem with. In these two examples, the function BBsolve( ) always stops at iteration 100, overlooking the values