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Hi! First of all: I'm a newbie to both statistics and R, so please be patient with me... I do however, like R because I've been programming (pascal, IDL, perl, C etc) and designing models since -92, but never related to statistics. Ok, here we go: I've got a set of 15 people, all of them observed over 10 weeks (10 analysed blood samples) with - let us kall it the A-value - influenced

i appologise for the trivialness of this post - but i've been searching the forum wothout luck - probably simply because it's late and my brain is starting to go.. i have a frequency table as a matrix: orig<-matrix(c(40,5,30,25), c(2,2)) orig [,1] [,2] [1,] 40 30 [2,] 5 25 i basically need a random sample say 10 from 100: [,1] [,2] [1,] 5 2 [2,] 0 3 i

Hi, I would like to install multiple printers (about a hundred) to my Linux site. I have created a smb.conf-file with all the printers (and also a printers.conf as I use CUPS for printing). The printers are e.g. HP LJ 4050 and I do not want to install every one the manual way (I use NT for that). When I manually installs a printer e.g. HP LJ 4050 with driver within lj345.exe from microsoft, the

When I use the preallocate patch and create a 77GB file using the function I get a CPU spike on the server-side. The spike lasts about 20 minutes and uses about 20%-25% of the cpu associated with the rsync instance creating the file. The spike is directly linked to the time it takes to create the file. I compiled rsync using cygwin CVS. I initially suspected the implementation of