similar to: Inconsistent behaviour when subsetting a ts object with frequency = 12 or 4

Dear All, I found the following under R 2.3.0 on WINXP (tested on 2 PCs, I do not have access to Linux from this PC, sorry ... ) > set.seed(10) > x <- ts(rnorm(6),frequency=7) > x Time Series: Start = c(1, 1) End = c(1, 6) Frequency = 7 [1] 0.01874617 -0.18425254 -1.37133055 -0.59916772 0.29454513 0.38979430 > x[24] <- NA > x Time Series: Start = c(1, 1) End = c(1, 6)

hi all a simple question i want to run simulations in r. i however want the experiments to be repeated at a later time with exactly the same numbers by other users. can i set the random number seed for rnorm in some way? e.g. is there some arguement that goes with rnorm? please supply an example regards Allan

Dear all, I found the following on R 2.3.1. for Windows XPpro SP2, tested on 2 PCs AMD 64 3700+, Ati 9700 AMD Athlon 2400+, Matrox G550 Do the following: x <- as.matrix(0); fix(x) pasting a big chunk of data, for instance the one below, into a cell of the editor will crash the RGui. 333333333333333333 333333333333333333333333333 33333333333333333333333333333333333333333333

Dear all, I am managing a departmental purchase of an Opteron based workstation/server for scientific computing on which we will be running R. The environment will probably be either Unix/Linux or Solaris and the amount of RAM will be 8-16Gb, depending on the number of processors. My main concerns are the following: 1. How much does R benefit from passing from one processor to two/four

Dear R community, I have a question on how R manages memory allocation in .Fortran() calls under Windows. In brief, apparently, it is not possible to allocate large matrices inside a Fortran subroutine unless you pass them as arguments. If you do not act in this way RGUI crashes with a stack overflow error and acting on memory through vsize nsize ppsize and memory.limit does not help at all.