search for: efficency

The code below create an nxn upper triangular matrix of one's. I'm stuck on finding a more efficient vectorized way - Thanks. --Dale n <- 9 data <- matrix(data=NA, nrow=n, ncol=n) data for (i in 1:n) { data[,i] <- c(rep(1,i), rep(0,n-i)) } data

On Wed, 4 Dec 2024 14:25:15 +0100 Peter Milesson via samba <samba at lists.samba.org> wrote: > Hi Rowland, > > Essentially, my setup is mandatory in the context of what features > are available to the users. Otherwise it's a vanilla Debian. The > basic functionality is identical to a NFS setup with the users home > directories stored on a server. When the user first

Is it possible to take the address of a basic block ? I'd like to put a whole bunch of these addresses into an array, and then select one to branch to. Eg. like a switch statement. (i'm thinking also of GCC's computed goto's) I'm finding the code generated by an llvm switch is a big bunch of compares and jump instructions, which i'm not sure is the most efficent way of

...e model with the same type of I/O. The Matlab model reads a text file with the initial parameters specified as: C:\Data\Carluc\Rport>more Params.R # Number of years to simulate nYears = 50; # Initial year for graphing purposes year0 = 1970; # NPP/GPP ratio (cpp0 unitless) fnr = 0.30; # Quantum efficency qe = 0.040; That is, there are four input variables (for this run - there can be many more) written in a way that R can understand them. In R, I can have the model source the parameter text file easily enough and have the objects in the workspace. The model function in R takes a list at runtime....

Is there a good way to stop and restart the samba server... for example to have it re read the smb.conf, without rebooting the actual pc? if I should kill a process should I kill them all ??? if so is there an efficent way to do this? thanks in advance Robert

Dear All, I'm trying to read a text data file that contains several records separated by a blank line. Each record starts with a row that contains it's ID and the number of rows for the records (two columns), then the data table itself, e.g. 123 5 89.1791 1.1024 90.5735 1.1024 92.5666 1.1024 95.0725 1.1024 101.2070 1.1024 321 3 60.1601 1.1024 64.8023 1.1024 70.0593

I have noticed that when I try to connect multiple G729 VoIP devices into a MeetMe conference that I can only add up to the number of G729 licenses I have. Now I would think that because all the devices are G729, this wouldn't be the case and the only license that would ever be used would be if a non G729 device or Zap channel was a part of the Meetme conference. This is apparently note the

Hello All, Is it possible to serve up files anonymously via a folder of my choosing on demand? >From time to time where I work, we transfer large file heirarchies between co-workers and contractor workstations, and we've gotten away with tar'ing things up or using something like webfs (or Python -m SimpleHTTPServer) on one end and 'wget -r http://remote-server' on the the

Dear list, I need to read in a big table with 487 columns and 238,305 rows (row names and column names are supplied). Is there a code to read in the table in a fast way? I tried the read.table() but it seems that it takes forever :( Thanks a lot! Best, Allen

Is there a functiaon to take the IP address of person who submits to a form example: <input id="user_ip" name="user[ip]" type="hidden" value="<%= some_ip_call %>" /> -- Posted via http://www.ruby-forum.com/.

Hello, I am trying to do some fairly straightforward data summarization, i.e., the kind you would do with a pivot table in excel or by using SQL queires. I have a moderately sized data set of ~70,000 records and I am trying to compute some group averages and sum values within groups. the code example below shows how I am trying to go about doing this pti <-rnorm(70000,10) fid <-

I have the acts_as_ferret plugin installed. Everything searches great, but I would like to limit the results (i.e. by ''end_date'') and sort them (by ''end_date''). ''end_date'' is a valid column in my "posts" table. Here''s the code I have already: @posts = Post.find_by_contents(params[:query]) params[:query] comes from a form. I

Is there a better or more efficent approach than this without the use of t() ? > (m <- matrix(1:40, ncol=4)) [,1] [,2] [,3] [,4] [1,] 1 11 21 31 [2,] 2 12 22 32 [3,] 3 13 23 33 [4,] 4 14 24 34 [5,] 5 15 25 35 [6,] 6 16 26 36 [7,] 7 17 27 37 [8,] 8 18 28 38 [9,] 9 19 29 39[10,] 10 20 30 40 >

Hi there! I'm quite happily using rsync. There is only one case where I couldn't figure out how to use it efficently: I sometimes have large compressed files (either .tar.gz or .zip) that I need to keep synchronized. The exploded files are usually not available on the machines i use for rsync (to keep everything unpacked would mean wasting a lot of space on the server). The problem is that

On Wed, 28 Jun 2006, Simon Burton wrote: > Is it possible to take the address > of a basic block ? Nope. > I'd like to put a whole bunch of these > addresses into an array, and then select > one to branch to. Eg. like a switch statement. > (i'm thinking also of GCC's computed goto's) llvm-gcc supports gcc's computed goto's. You can see what code it

On 04.12.2024 10:39, Rowland Penny via samba wrote: > On Tue, 3 Dec 2024 18:59:59 +0100 > Peter Milesson via samba <samba at lists.samba.org> wrote: > >> >> >> On 03.12.2024 17:22, Rowland Penny via samba wrote: >>> On Mon, 2 Dec 2024 10:29:22 +0100 >>> Peter Milesson via samba <samba at lists.samba.org> wrote: >>>

How about: x <- data.frame(matrix(rnorm(1550),c(50,31))) model <- step(lm(x[,1] ~ as.matrix(x[,2:31]))) --Matt -----Original Message----- From: r-help-bounces at stat.math.ethz.ch [mailto:r-help-bounces at stat.math.ethz.ch]On Behalf Of rongguiwong Sent: Monday, September 20, 2004 20:52 PM To: r-help at stat.math.ethz.ch Subject: [R] how to take this experiment with R? This message uses

I need to apply a yearly inflation factor to some wages and supply some simple sums by work category. I have gone at it with a brute force "for" loop approach which seems okay as it is a small dataset. It looks a bit inelegant and given all the warnings in the Intro to R, etc, about using loops I wondered if anyone could suggest something a bit simpler or more efficent? Example:

Hi, I am interested in the thoughts of the people who know the architecture of Asterisk quite well.. What I am interested in is the performace difference of Celeron vs P4 vs Xeon.. I know Intel marketing says that servers should be Xeon, Workstations should be P4 and desktops should be Celeron and they are priced to the specific target market.. I am on a tight budget and so I am looking for the

Hello, I am trying to do some fairly straightforward data summarization, i.e., the kind you would do with a pivot table in excel or by using SQL queires. I have a moderately sized data set of ~70,000 records and I am trying to compute some group averages and sum values within groups. the code example below shows how I am trying to go about doing this pti <-rnorm(70000,10) fid <-