search for: effeciently

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!

..._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 since Phi has not cloaed form, I don't know how to do this effeciently. I appreciate very much if someone has any ideas about it. Thanks! Jeff -- View this message in context: http://r.789695.n4.nabble.com/how-to-use-quadrature-to-integrate-some-complicated-functions-tp3996765p3996765.html Sent from the R help mailing list archive at Nabble.com.

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

...e 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 to maintain same directory structure on source. Any insights on if following query will work effeciently for adding new files to destination rsync --remove-source-files -av -r <Source Root Folder> ssh abc at destination.com:<Destination Root Folder> Assuming 5 TB of data available at destination and source has about 50 files (New or Updated i.e. files with same name and in same folder), s...

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

Howdy... I have been doing some reading of the rsync technical report, rsync man page, and the rsync web site, and I have learned allot, but having a high IQ does help. I have read the rsync, and rsyncd.conf man pages in regards to the switches, settings, etc., and summized that rsync is specifically designed for copying files between Unix kernel systems, regardless of flavor, platform, or

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

...ove 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 to maintain same > directory structure on source. Any insights on if following query will work > effeciently for adding new files to destination > rsync --remove-source-files -av -r <Source Root Folder> ssh > abc at destination.com:<Destination Root Folder> > > Assuming 5 TB of data available at destination and source has about 50 files > (New or Updated i.e. files with same na...

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

...r tree and process each node breadth first). Convert all of the instructions in each basic block (except phis). c) Revisit all the phis and plug in their new operands. 3) Delete all the old instructions. This is a variation of the SSA construction algorithm in Zadeck et. al.'s paper (Effeciently Computing Single Static Assignment Form and the Control Dependence Graph). The only tricky part is handling non-instruction operands (e.g., function arguments, global variables, etc.). Some might be trivial to convert. Others may be difficult. You should look over all the classes derived fr...