similar to: Loading workspaces from the command line

Hi all, Basically, I have data in the format of (up to 1 gig in size) text files containing stuff like: F34060F81000F28055F8A000F2E05EF8F000F34 (...) The data is basically strings denoting hex values (9 = 9, A = 10, B = 11, ...) organised in fixed, small blocks. What I want to do is to read in a specified segment of the string, break it up into blocks, and convert it into a vector of integers

Okay, someone explain this behaviour to me: Browse[1]> replace(rep(0, 4000), temp1[12] , temp2[12])[3925] [1] 0.4462404 Browse[1]> temp1[12] [1] 3926 Browse[1]> temp2[12] [1] 0.4462404 Browse[1]> replace(rep(0, 4000), 3926 , temp2[12])[3925] [1] 0 For some reason, R seems to shift indices along when doing this replacement. Has anyone encountered this bug before? It seems to crop up

Hi, Okay, I have a n x p matrix X, which I know is not full rank. In particular, there may be linear dependencies amongst the columns (but not that many). What is a fast way of finding a linearly independent subset of the columns of X that will span the column space of X, in R? If it helps, I have the QR decomposition of the original X 'for free'. I know that it's possible to do this

Hi, This is probably really obvious, by I can't seem to find anything on it. Is there a fast version of ave for when the data is already sorted in terms of the factor, or if the breaks are already known? Basically, I have: X = 0.1, 0.2, 0.32, 0.32, 0.4, 0.56, 0.56, 0.7... Y = 223, 434, 343, 544, 231.... etc of the same, admittedly large length. Now note that some of the values of X are

Hi, Possibly a dumb question, but I wonder if anyone can help me with this. What I want to do, essentially, is to loop over all ordered subsets of a given size of a certain set. Ultimately, the idea is to find the subset that maximises a certain value. The set in question is likely large (the subset size is likely small, though), so things like combn don't seem to be a good solution. The

Hi, Should be a quickie: I want to make a datafile in R for plotting in gnuplot (which has friendlier 3D plotting options, as far as I can tell). So, I want to create a file with contents along the lines of #File begins 0 0 10 0 13 10 0.2 2 10 1 0 10.12 1 1 5 1 2 10 2 0 10 2 1 1 2 2 10 It's probably fairly easy to write the space-separated numbers with write.table, sink, or similar. But

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I've seen a number of issues with the loading of workspaces discussed previously, but here's another one... I simply can't load any saved workspace at all... Here's an example, starting with an empty workspace and creating a single variable "a". > a<-1:5 > save.image("a.Rdata") > rm(a) > load("a.Rdata") Error in function ()  : unused

Hello. I have grown accustomed to the .Data directory in S-Plus and so when I came to R I continued that behaviour by saving my workspaces at the end of each R session. So, I have saved workspaces in various directories where I have used R just as I would have had various .Data directories where I had used S-Plus. I have seen comments on the list, most recently from Prof. Ripley that they

Dear all, I have another question about fisher.test: Is there any way to save the resulting p-value in a matrix or file after a loop as below? for (i in 1:42) { # testing difference in income(pinc) between people in # (with in1=1) and out (with in1=0) of the program for # group i fisher.test(m$pinc[m$group==i], m$in1[m$group==i], workspace=40000000, hybrid=F)} When I run this loop, there is no

Dear all, I have another question about fisher.test: Is there any way to save the resulting p-value in a matrix or file after a loop as below? for (i in 1:42) { # testing difference in income(pinc) between people in # (with in1=1) and out (with in1=0) of the program for # group i fisher.test(m$pinc[m$group==i], m$in1[m$group==i], workspace=40000000, hybrid=F)} When I run this loop, there is no

How do people go about synchronizing multiple workspaces on different workstations? I tend to wind up with projects spread around the various machines I work on. I find that placing the directories on a server and reading them remotely tends to slow things down. thanks, Eric -- Eric Turkheimer, PhD Department of Psychology University of Virginia PO Box 400400 Charlottesville, VA 22904-4400

Hi, > ----- Original Message ----- >>> ----- Original Message ----- >>>> Hi all, >>>> My recent commit r187027 fixed a simple oversight of forgetting >>>> to >>>> check for __ppc__ (only checking __powerpc__), which broke my >>>> powerpc-apple-darwin8 stage1 tests, since the system gcc only >>>> provided

useRs and developeRs- Apologies for my naivety, but I just couldn't figure out how to open an old workspace (created using R 2.3.0) using R 2.3.0 and not R 2.4.0 which is currently happening. For all I know this has always been the case, but I'm having a problem with a function that doesn't work in 2.4.0 but does work in 2.3.1 (function is in the process of being fixed). So I would

Hi, For anyone who might be interested, I've thrown together a little page to track my builds of llvm and clang, both release 3.0 and svn-trunk, on powerpc-darwin8. http://www.csl.cornell.edu/~fang/sw/llvm/ I'll update the list of logs each time I svn-update and build. It's nowhere as nice as a real buildbot page, but it's better than nothing. 3.0 still has over 20 test

> ----- Original Message ----- >> Hi all, >> My recent commit r187027 fixed a simple oversight of forgetting to >> check for __ppc__ (only checking __powerpc__), which broke my >> powerpc-apple-darwin8 stage1 tests, since the system gcc only >> provided >> __ppc__. I was wondering if this justifies using simpler macros like >> >> #define

----- Original Message ----- > > ----- Original Message ----- > >> Hi all, > >> My recent commit r187027 fixed a simple oversight of forgetting > >> to > >> check for __ppc__ (only checking __powerpc__), which broke my > >> powerpc-apple-darwin8 stage1 tests, since the system gcc only > >> provided > >> __ppc__. I was

Hi, Thanks for the quick reply again. > On Thu, Dec 15, 2011 at 1:17 PM, David Fang <fang at csl.cornell.edu> wrote: >> Hi, >> >> I've bootstrapped llvm/clang from svn-trunk on powerpc-darwin8 (g++-4.0.1), and >> have the following test results to share. >> Summary below, full log at: >>

18.01.2012, 02:46, "David Fang" <fang at csl.cornell.edu>: > Hi, >          For anyone who might be interested, I've thrown together a little > page to track my builds of llvm and clang, both release 3.0 and > svn-trunk, on powerpc-darwin8. > > http://www.csl.cornell.edu/~fang/sw/llvm/ > > I'll update the list of logs each time I svn-update and

On Wed, Jan 18, 2012 at 10:51:38PM +0400, Konstantin Tokarev wrote: > > > 18.01.2012, 02:46, "David Fang" <fang at csl.cornell.edu>: > > Hi, > > ?????????For anyone who might be interested, I've thrown together a little > > page to track my builds of llvm and clang, both release 3.0 and > > svn-trunk, on powerpc-darwin8. > > > >