similar to: setseed() works well

Dear list, It looks like set.seed does not work for me (see code below). I am running Debian squeeze. Is this an issue with the distribution or with my understanding of the function? I'm pretty sure, but not certain, it used to work that way on windows > runif(5) [1] 0.6516557 0.5677378 0.1135090 0.5959253 0.3580500 > runif(5) [1] 0.42880942 0.05190332 0.26417767 0.39879073

Hi, Is the below -- setSeed -- an okay way to set the seed in standalone applications making use of Rlib? It seems to work as expected. Is there a better way to do it? (I'm also looking at do_setseed but am unsure what to supply as op. findFun("set.seed", R_GlobalEnv)?) Thanks much. -- David Faden, dfaden at iastate.edu AIM: pitulx -- #include <assert.h> #include

--Multipart_Mon_Nov_24_14:51:09_1997-1 Content-Type: text/plain; charset=US-ASCII >>>>> "PaulG" == Paul Gilbert <pgilbert@bank-banque-canada.ca> writes: MM> The code is basically in V&R 1 and 2; V&R2 on p.167. I have it as a MM> C function that I used to dyn.load into S-plus in order MM> to prove that S-plus was using it.

Hi, I have this sample data below and would like to create a list of matricies. setseed(1254) id <- c(1,1,1,1 ,2,2,2) o <- as.factor(c(1:4, 1, 3, 4)) r <- rep(.5, 7) v <- rnorm(7) s <- rnorm(7) dat <-data.frame(id, o, r, v, s) dat #> dat # id o r v s # 1 1 0.5 0.7024631 2.0813672 # 1 2 0.5 -0.5541955 0.1095156 # 1 3 0.5 -1.0418167 0.4164930 # 1

On 01-Jan-99 Prof Brian Ripley wrote: > -rw-rw---- 1 root sysadmin 188267 Jan 1 06:20 > timeslab-1.0-1.tar.gz > -rw-rw-r-- 1 root sysadmin 180290 Jan 1 02:02 > timeslab-1.0.tar.gz > > So which is which, what's the difference? .... Sorry if this wasn't self evident: timeslab-1.0.tar.gz == timeslab-1.0-0.tar.gz and thus

Hi All. I have R code whose functionality is being replicated within a C+ program. The outputs are to be compared to validate the conversion somewhat - however (as is always the case) I have stuffed my code with random number calls. Random uniform numbers in C+ are being produced using the (Boost) mersenne-twister generators (mt11213b & mt19937) - which is the default type of generator

>>>>> Thomas Lumley writes: >> Two compatibility issues found while trying to convert a simulation >> from S to R. >> 1. set.seed() We don't have this function. According to Venables & >> Ripley it just picks a seed from a list of 1000 possibilities. How about >> >> "set.seed" <-function (i)