search for: effeciency

Hi, I've been running some simulations for a while and the performance of R has been great. However, I've recently changed the code to perform a sort of chi-square goodness-of-fit test. To get the observed values for each cell I've been using table() - specifically I've been using cut2 from Hmisc to divide up the range into a specified number of cells and then using

# This is more about trying to find a more effecient way to code some simple vectorized computations using ifelse(). # Say you have some vector representing a factor with a number of levels (6 in this case), representing the location that samples were collected. Population <- gl( n=6, k=5,length=120, labels =c("CO", "CN","Ga","KO", "Mw",

Sorry, this is my first time to post. I have a big data set: first colume is date (ex: 2008-2-150, the second is time (10:30:00), and the following columes are variaty measurement data. Every 30 min, I have one data. I want to find an effecient way to calculate the hourly, daily, monthly and yearly average, and plot them, and eventually use these average data to do further analysis. Thanks!

Hello to all, I am having trouble with intregrating a complicated uni-dimensional function of the following form Phi(x-a_1)*Phi(x-a_2)*...*Phi(x-a_{n-1})*phi(x-a_n). Here n is about 5000, Phi is the cumulative distribution function of standard normal, phi is the density function of standard normal, and x ranges over (-infty,infty). My idea is to to use quadrature to handle this integral. But

Hello again :) With POLLING enabled I experience about 10%-25% performance drop when copying files over network. Tested with both SAMBA and NFS. Is it normal? FreeBSD 7.1-PRERELEASE #0: Sat Sep 6 01:52:12 CEST 2008 fxp0: <Intel 82801DB (ICH4) Pro/100 Ethernet> port 0xc800-0xc83f mem 0xe1021000-0xe1021fff irq 20 at device 8.0 on pci1 # ifconfig fxp0 fxp0:

We are bellow 30MIPS for our 16bit single MAC fixed point DSP. 8khz/8kbps I aggree with Jean-Marc that MIPS is dependent from the target DSP, but it's a very good indication when you compare same architecture DSPs. It is very difficult (impossible) to use effecient a DSP using only c. George ----- Original Message ----- From: "Andre Borrelly" <andre@myavalaunch.com> To:

Hi all I hope no one minds but I was asked to post my timetrial findings back to the list. Hope it helps someone else as well, if you have any suggestions please mention them as I need all the speed that I can get The scenaro is as follows I have to switch mail servers and I need to copy all my mbox files over to the new machine. As you may well know time if off the utmost importance so I

Thanks for info. I was under the assumption that rsync will execute followings steps: 1. Compare first to identify different files (new/updated) --> This is where i am worried due to data size 2. Upload new/updated files 3 Remove source file As per your comment, rsync will compare after uploading to check if files are identical ? Additionally i don't expect to delete directories as i want

Hello, This is my first posting to the rsync list. I mirror a database containing directories which contain a very large number of files (say 30,000), and sending the file list can often take longer than transferring the new files. (Rsync ends up sending nearly the same file list on every transfer, with only the addition of a few new files.) Has the rsync team considered an rsync option

...t rsync is specifically designed for copying files between Unix kernel systems, regardless of flavor, platform, or version. I finally found the verification for this on the web site after having made this deduction. I learned that rsync was developed as a replacement for rcp so as to increase the effeciency of transfers by reducing the amount of data that needs to be transmitted over a network, either public, or private, to synchronize a file repository on multiple machines. Now what I am noticing is that in addition to Unix systems, rsync is being used to transport files to, and from dissimilar plat...

hi, I know how to use the "for" loop function like: for(i in 1:ncol(mat)){ mat[i]<-b[i,2] } but, in this case r1<-b[1,1] r2<-b[2,1] r3<-b[3,1] r4<-b[4,1] * * * r3002<-b[3002,1] r3003<-b[3003,1] - must make vectors how should I make a efficient code for that? Is there anything in R like SAS MACRO function? Please help me. -- View this message in context:

Hello everyone! Please bear with me, I am a complete audio-newbie, and I apologise if I am asking a question that I should know. As most of you all know, DVD's have 5.1 audio, and I want to preserve that in my voribs files. So, to ask the question : Does it support Surround sound? Thank you very much!

Hi, I''m a little confused about sessions. I have two objects, object "Apple" and object "Banana". These two objects have an N:M relationship. What I am doing is listing All of the Banana objects that are associated with a single Apple, then below that listing all of the Banana objects not associated with that same Apple. The user is then allowed to change the

On Tue, Mar 22, 2016 at 10:45 AM, Fabian Arrotin <arrfab at centos.org> wrote: > On 22/03/16 10:21, Fran?ois Cami wrote: >> On Tue, Mar 22, 2016 at 10:12 AM, Manuel Wolfshant >> <wolfy at nobugconsulting.ro> wrote: >>> On 03/22/2016 09:30 AM, Fabian Arrotin wrote: >>>> >>>> Hi, >>>> >>>> I was having a look at that

If the source only has 50 files then rsync only needs to check for those 50 files on the target. If one exists rsync will compare the timestamp to see if it needs copying. Yes, rsync verifies a hash of the file after transfer. On 11/19/2017 02:41 PM, Amit via rsync wrote: > Thanks for info. I was under the assumption that rsync will execute > followings steps: > 1. Compare first to

Hi all, I have one server hosting virtual machines and one older NAS Synology DS1512+ used as backup target for those virtual machines. The NAS uses BTRFS for its internal storage because I want to use compression and at best make effecient use of snapshots. When using "--inplace --whole-file" the backup succeeds in ~2 hours, which is OK to fit into avarious historically grown time

Hi, If you plot a cumulative histogram of a gausian distribution, using a log scale on the x-axis and a probit scale on the y-axis, you get a straight line. My question is whether it is possible in R to use a "probit" scale in a "plot". For example on the following webpage you can see an application of how I would like to use a probit scale:

> From: Beni Cherniavsky [mailto:cben@users.sf.net] > Sent: 26 September 2003 10:35 > To: vorbis@xiph.org > Subject: Re: [vorbis] streaming > > - Vorbis is designed to allow "peeling": if you truncate packets, you > still get a legal Vorbis stream but with lower quality. This should > allow very effecient streaming of multiple bitrates from the same >

Hi, I have configured the below things: Extensions Trunk Outbound route Inbound route IVR Ring group If anybody call to my DID number, my IVR is responded. After that, if he press 1, then Ring group will be activated. All are working fine. My Problem: I want to avoid IVR for some phone numbers depends on their called IDs. If my common users will call to my DID

On 1/24/11 12:05 PM, Douglas do Couto Teixeira wrote: > > > On Mon, Jan 24, 2011 at 3:01 PM, Nick Lewycky <nicholas at mxc.ca > <mailto:nicholas at mxc.ca>> wrote: > > On 01/24/2011 04:41 AM, Douglas do Couto Teixeira wrote: > > Hi, > > Nick, thanks for the reply. > I still have a problem: I only need to "clone" an