similar to: How to extract value for specific rows in an array?

Hello my friends, here is a code I wrote with no loops on matrix that is taking too long (2 seconds and I call him 720 times --> 12 minutes): mat1 and mat2 are both matrix with 103 columns and 164 rows. sequence <- matrix(seq(1 : ncol(mat1))) returns <- apply(sequence, 1, function, mat1= mat1, mat2 = mat2, day = 1) function<- function(mat1, mat2, colNb, day){

I've been attempting to create a bootable image thats double the size of the 2880 floppy disk. I can do the following to create a image that will boot with memdisk but i cant seam to get it to work with a larger size. What works... dd if=/dev/zero of=floppy288.img bs=1024 count=2880 mkdosfs floppy288.img ms-sys -1 -f floppy288.img mount -o loop floppy288.img /mnt

Hi, Didier Spaier: > I uploaded both ISO images on http://slint.fr/misc/MacBoot A good opportunity to brag with xorriso's boot inspection features (since xorriso-1.3.8): xorriso -indev slint64-14.1-Thomas_mkisofs.iso \ -report_el_torito plain \ -report_system_area plain yields (block size is 2048): El Torito images : N Pltf B Emul Ld_seg Hdpt Ldsiz

Hi, I'm using syslinux to boot Linux off a network server running tftpd and dhcpd. The server is running RH 7.3 with syslinux version 2.06 and pxe-0.1-31.99.7.3 installed from the rpm. I created a 2880 K floppy image using syslinux and populated it with the Linux kernel images: vmlinuz, and initrd.img (trimmed of some modules) from RH 9, also, syslinux.cfg with kickstart information. The

I'm not sure how to best explain what I am after but here goes. I have a data frame with 2 geographical factors. One is the major region the other is the component regions. I am trying to process all the regions at the same time without using "for". So I need (think, I do) a list of matrices each structured according to the number of subregions within each region. So is there a

Hi, On 29/07/2014 23:19, Thomas Schmitt wrote: > A good opportunity to brag with xorriso's boot inspection > features (since xorriso-1.3.8): Yes! I've upgraded libburn, libisofs and libisoburn so now I can play with it too ;) > I forgot to advise (or misadvise) -isohybrid-apm-hfsplus with > the image /isolinux/efiboot.img . So we only got one APM > partition here. A

It looks like OP uses a data.frame, so in order to use matrixStats (I'm the author) one would have to pay the price to coerce to a matrix before using matrixStats::rowMaxs(). However, if it is that the original data could equally well live in a matrix, then matrixStats should be computational efficient for this task. (I've seen cases where an original matrix was turned into a data.frame

Hi all, I'm implementing the opus codec for a proprietary RF link (for fullband audio) and want to make sure I understand something. The link is currently running at 44.1KHz - realtime (i.e. streaming from an A/D at one side, ultimately to a D/A at the other). Rather than muck with all the infrastructure, I'm looking at how to run Opus at 44.1K. I have flexibility in the frame sizes of

Hello, I've been trying to understand how to use opus codec for quite some time. There is a thing that doesn't make sense to me. I will try to explain what it is below, In *opus_encode() *function, *opus_int16 pcm* is said to have a size of *frame_size * channels*, where *frame_size* is said to be one of* 20, 240, 480, 960, 1920, and 2880.* Let's say, frame_size is 960, then

Like earth can be trained simultaneously for degree and nprune, is there a way to train ctree simultaneously for mincriterion and maxdepth? Also, I notice there are separate methods ctree and ctree2, and if both options are attempted to tune with one method, the summary averages the option it doesn't support. The full log is attached, and notice these lines below for

Hi Jean-Marc, On Jun 15, 2013, at 2:23 AMEDT, Jean-Marc Valin wrote: >> I'm looking at how to run Opus at 44.1K. I have flexibility in the >> frame sizes of the unencoded audio, and packet sizes on the RF link. > > You should probably consider resampling. It's not that expensive and it > would make things easy. But otherwise, see below. Yes, considering your and

I made a mistake -- and R crashed. A (more or less) reproducible example seems to be: x <- matrix(nrow=20000, ncol=20) x$any <- numeric(0) It is possible to crash R by executing these lines several times (1 - 20) on Windows as well as on Solaris (might be related to PR#2880 - let's call it "non-existing list elements") Uwe Ligges --please do not edit the

Dear R-list, It is not uncommon for laboratory equipment (e.g. spectrophotometers) to have a linear response in a certain interval and then go into saturation. I wonder if there is an R-function that models this; for instance by estimating the breakpoint and fitting a line below the breakpoint and a constant above. Best regards Thomas Poulsen -- Thomas Poulsen Research Scientist. PhD,

On Tue, Feb 20, 2018 at 11:58 AM, Bert Gunter <bgunter.4567 at gmail.com> wrote: > Ista, et. al: efficiency? > (Note: I needed to correct my previous post: do.call() is required for > pmax() over the data frame) > > > x <- data.frame(matrix(runif(12e6), ncol=12)) > > > system.time(r1 <- do.call(pmax,x)) > user system elapsed > 0.049 0.000

Hi, I've had problem with a program using LLVM that tried to dynamic_cast objects created in the JIT execution engine, from the native part of the program (for the curious, the program is PinaVM http://gitorious.org/pinavm/pages/Home). I've narrowed down the issue to the linkage of weak_odr and linkonce_odr symbols, used for the vtables, and that _must_ be unique for dynamic_cast to

Hi, Doing some extensive benchmarks on BTRFS, I encountered a kernel bug in BTRFS (as reported in dmesg) Maybe the information below can help you making btrfs better. Situation Doing an intensive sequential write on a SAS 3TB disk drive (SEAGATE ST33000652SS) with 128 threads with Sysbench. Device is connected through an HBA. Blocksize was 256k ; Kernel is 3.3.0 (x86_64) ; Btrfs is version

I'm attempting to use speex preprocess for automatic gain control in an application I'm working on and could use some help. I'm using Opus as my codec. In order to keep the number of packets down, I'm using 60msec frames. I'm sampling at 48KHz as is recommended for Opus. So, the frame length is 2880 samples and the sampling rate is 48000. The source of the data is a

Dear R helpers, I have a dataframe (test1) containing the time of sunrise and sunset for each day of the year for 3 years. I have another dataframe (test2) containing measurements that are taken every 15 minutes, 24/7. I would like to extract all rows from test2 that occur between sunrise and sunset for the appropriate date. Can you suggest a good vectorized way to do this? Keep in mind

Some at 5:34 pm EST DAILY, all my call get disconnect. I tried RE-INSTALLATION, I tried Reinstallation on a virgin HDD, but its same. I tried changing VOIP provider I tried changing Internet Provider..But no help.. What could be the reason ? Here are my enties of crontab : ### recording mixing/compressing/ftping scripts 0,3,6,9,12,15,18,21,24,27,30,33,36,39,42,45,48,51,54,57 * * * *

Hi all, I have a set of 54 files that I need to convert from ASCII grid format to .shp files to .bnd files for BayesX. I have the following R code to operate on those files: library(maptools) library(Grid2Polygons) library(BayesX) library(BayesXsrc) library(R2BayesX) readfunct <- function(x) { u <- readAsciiGrid(x) } modfilesmore <- paste0("MaxFloodDepth_", 1:54,