similar to: suggestions motivated by quest for remainders

Is there some fast (built-in?) way to get the OR of all the elements in a logical vector? In other words, is there some fast (built-in) version of the function vor below? Thanks. -Ben vor <- function(v) { ans <- v[1] if (length(v) > 1) for (i in 2:length(v)) ans <- ans | v[i] ans }

Hello, I am interested in using nlme to model repeated measurements, but I don't seem to get good CIs. With the code below I tried to generate data sets according to the model given by equations (1.4) and (1.5) on pages 7 and 8 of Pinheiro and Bates 2000 (having chosen values for beta, sigma.b and sigma similar to those estimated in the text). For each data set I used lme() to fit a model,

Dear R-SIG-Fedora, I'm finding that on CentOS 7, rgl.snapshot (a function in the R package rgl, which provides an R interface to the OpenGL 3-d graphics library) only captures a small portion what's visible in the RGL device window. This does not happen with the same R and rgl versions on CentOS 5.3 (see details below). The maintainer of rgl, Duncan Murdoch, responded (see below) that

http://bugs.freedesktop.org/show_bug.cgi?id=25393 Summary: Repeated "EDID checksum is invalid" erros with varying remainders on NV43 Product: xorg Version: git Platform: x86 (IA32) OS/Version: Linux (All) Status: NEW Severity: normal Priority: medium Component: Driver/nouveau

The % is modulus (remainder) operator and ^ is bitwise. In this context, we take a file, and go through each character and encrypt it. But why are the ^ and % operators used here: def encrypt(reader, writer) key_index = 0 while not reader.eof? clear_char = reader.getc encrypted_char = clear_char ^ @key[key_index] writer.putc(encrypted_char) key_index = (key_index +

Dear R Helpers, I am trying to extract the modulus from divisions by a sequence of fractions. I noticed that %% seems to behave inconsistently (to my untutored eye), thus: > 0.1%%0.1 [1] 0 > 0.2%%0.1 [1] 0 > 0.3%%0.1 [1] 0.1 > 0.4%%0.1 [1] 0 > 0.5%%0.1 [1] 0.1 > 0.6%%0.1 [1] 0.1 > 0.7%%0.1 [1] 0.1 > 0.8%%0.1 [1] 0 > 0.9%%0.1 The modulus for 0.1, 0.2, 0.4 and 0.8 is

Hello, Has a function been built that will skip to a certain bit in a binary file? As of 2009 the answer was 'no': http://r.789695.n4.nabble.com/read-binary-file-seek-td900847.html https://stat.ethz.ch/pipermail/r-help/2009-May/199819.html If you feel I don't need to (like in the links above), please provide some help. (Note this is my first time working with binary files.) I'm

The following can't be right, first rw2010: > 1 %% 0.001 [1] 0.001 Then rw2001: > 1 %% 0.001 [1] -2.081668e-17 > and the last seems about right. -- Kjetil Halvorsen. Peace is the most effective weapon of mass construction. -- Mahdi Elmandjra -- No virus found in this outgoing message. Checked by AVG Anti-Virus.

Dear Tom, Thank you very much for thinking about this. Please see my replies below. -Ben > Are you using the EPEL R 3.2.3 builds? I'm not sure what the question means, but I'm pretty sure the answer is no. I know I built the versions of R I used from source code (i.e., ./configure followed by make). > What version of Centos 7? 7.2? [bwittner at kagoshima ~]$ cat

I'm not mathematically gifted, but shouldn't 957%60 be 15 remainder 57? Google and my desktop calculator certainly think so. So where am I going wrong here? The following code exten => 7,1,Verbose(Context: ${CONTEXT} Exten:${EXTEN}) same => n,Set(myNum=957) same => n,Set(sec=$[REMAINDER(${myNum},60)]) same => n,Set(sec=$[ABS(${sec})]) same =>

Hi All, I am trying to get speex working on the Mac and am running into issues. I got the examples working, but am now trying to make speex, which expects 8000 Hz and 160 samples per buffer (320 bytes per buffer), work with the Mac's built-in audio recording, which uses either 11025, 22050, or 44100 Hz and 1024 samples per buffer (2048 bytes per buffer). I just need to know if

I'm looking for software that makes plots such as fig 4 (a)-(e), fig 5 anf fig 7 of Gray, Robert, "Flexible Methods for Analyzing Survival Data Using Splines, with Applications to Breast Cancer Prognosis," 1992, J Am Stat Assoc, pp 942-51. In other words, I'm looking for software that takes survival data and a continuous covariate as input and computes a curve giving log hazard

Hi Hameeza, Aside from Ashutosh's patch..... When the vector width is that large, we can't keep vectorizing remainder like below. It'll be a huge code size if nothing else ---- hitting ITLB miss because of this is very bad, for example. VF=2048 // main vector loop VF=1024 // vectorized remainder 1 VF=512 // vectorized remainder 2 ... Vectorize remainder until trip count is

hi netters Is there a function in R that can compute the quotient and remainder of a division calculation? such that when 11 is given as the dividend and 5 the divider, the function returns 2(quotient) and 1(remainder). Thanks a lot! _________________________________________________________________ 伱佲伔佈佅伮佋佖 MSN Explorer: http://explorer.msn.com/lccn/

Hello, I m working on a hardware with very large vector width till v2048. Now when I vectorize using llvm default vectorizer maximum 2047 iterations are scalar remainder loop. These are not vectorized by llvm which increases the cost. However these should be vectorized using next available vector width I.e v1024, v512, v256, v128, v64, v32, v16, v8, v4..... The issue of scalar remainder loop has

Hi, In the code below, the labels I put on the x-axis are too high (they cross the axis). Can anyone tell me how to move them down? I've tried adj=, padj=, mar=, and various other things, but cannot move them down. Thanks. -Ben labs <- paste('sample', 1:10) plot(1:10, xaxt='n', xlab='') axis(1, at=1:10, labels=labs, padj=1, las=2) # las is a par() parameter

Hello, As an example, I ran the following code: library("rgl") example(plot3d) rgl.snapshot("test.png") The full plot is visible in the window titled RGL device 1 [Focus], but only a small

Hello, As an example, I ran the following code: library("rgl") example(plot3d) rgl.snapshot("test.png") The full plot is visible in the window titled RGL device 1 [Focus], but only a small

>it cannot afford large size masks for large vectors So, even a standard way of vectorizing remainder in masked or unmasked fashion wouldn’t work, I suppose. Ouch. I suppose VPlan should be able to model this kind of gigantic remainder vector code (when the time comes). Not pretty at all, though. Now, be fully aware that Direction #2 is really a poor (or rather extremely poor) person’s

Tom, Bingo! I followed the instructions in the link below, which allowed me to install the nvidia driver, which fixed the original problem with rgl.snapshot. Thanks very much for all your help. I guess I'll file a bug in the CentOS Bug Tracker so that the nouveau driver might get fixed. I'll also post to R-help so someone with the same problem who only searches R-help and not this SIG