similar to: Design matrix labels

Hi Petr, The following is different line of thought which is posted in different form, maybe you have some wise input on it. "I need to find Efficient(tracktable) deterministic algorithm for Matching Weighted Graphs with bounded degree. Now we all know Graph matching is non-tractable but when degree of vertex has upper bound are there any tractable algorithm? Does this special case comes

I have an ordering and factor problem to which there must be a simple solution! The version is R 2.0.1 (2004-11-15) on A Linux platform. A data frame H is read in from a .csv file using read.csv with as.is=TRUE. Another data frame HN is constructed from data and I want to compare two columns both named ss of the (sorted) data frames that are the same length. The problem is that HN$ss is

Hi all. I’ve heard a couple of times that some of the problems solved by various passes in the optimizer are indeed NP-hard, even though the instances are small enough to be tractable (and very quickly). Is this true? If so, which are these problems? Register allocation? Instruction scheduling? Are they solved exactly or by approximations? Or not solved at all (the need of solving them is

Allow compile time creation of a hole at the high end of linear address space. This makes accomodating a hypervisor a much more tractable problem by giving it ample playground to live in. Currently, the hole size is fixed at config time; I have experimented with dynamically sized holes, and have a later patch that developes this potential, but it becomes much more useful once the exact

Allow compile time creation of a hole at the high end of linear address space. This makes accomodating a hypervisor a much more tractable problem by giving it ample playground to live in. Currently, the hole size is fixed at config time; I have experimented with dynamically sized holes, and have a later patch that developes this potential, but it becomes much more useful once the exact

Thanks for looking at this Tim. On a pandaboard, at least with the Release+Asserts config I tried, those tests do complain on stderr but llvm-lit thinks they've passed/expected fails, they don't actually count as fails like they do on the buildbot. Regarding solving PR16013 that looks like a relatively tractable job (on both 32-bit arm and aarch64) IF you're already familiar with the

I have a pdf scan of several pages of data from a quite famous old paper by C.S. Pierce (1873). I would like (what else?) to convert it into an R dataframe. Somewhat to my surprise the pdf seems to already be in a character recognized form, since I can search for numerical strings and they are nicely found. Of course, as is usual with such tables there are also headings and column

Hi there I am new to R and would like to ask some questions which might not make perfect sense. Anyhow, here they are: 1) I would like very much to use R for processing some big data files (around 1.7 or more GB) for spatial analysis, wavelets, and power spectra estimation; is this possible with R? Within IDL, such a big data set seems to be tractable... 2) I have heard/read that R

Hi folks, I have a win2k acting as rsync client (I installed cwrsync) and FreeBSD 5.4 acting as rsync server and I'm having trouble with basic usage. ------------------------------ My /etc/rsyncd.conf: log file = /var/log/rsyncd.log pid file = /var/run/rsyncd.pid lock file = /var/run/rsync.lock [antec_win2k_mike] path = /vol3/antec_win2k_mike uid = nobody gid = nobody read only

On Aug 14, 2007, at 06:24, Gordon Henriksen wrote: > The two major problems I had really boil down to identifying GC > points in machine code and statically identifying live roots at > those GC points, both problems common to many collection > techniques. Looking at the problem from that perspective makes the > problem much more tractable, actually… Chris, This is much

Dear R experts. I might be missing something obvious. I have been trying to fix this problem for some weeks. Please help. #data ped <- c(rep(1, 4), rep(2, 3), rep(3, 3)) y <- rnorm(10, 8, 2) # variable set 1 M1a <- sample (c(1, 2,3), 10, replace= T) M1b <- sample (c(1, 2,3), 10, replace= T) M1aP1 <- sample (c(1, 2,3), 10, replace= T) M1bP2 <- sample (c(1, 2,3), 10, replace= T)

On Fri, Oct 28, 2011 at 10:50 AM, Jeffrey Yasskin <jyasskin at google.com> wrote: > On Fri, Oct 28, 2011 at 10:25 AM, Daniel Dunbar <daniel at zuster.org> wrote: >>  * I don't think CMake is good enough. I agree it solves problems, but >> I want to use great tools, not ones that work. In particular: >>    (c) This doesn't solve any other nice problems:

On Aug 14, 2007, at 00:23, Chris Lattner wrote: > On Mon, 13 Aug 2007, Gordon Henriksen wrote: > >> Changing these structures breaks binary compatibility (including C >> interop). > > If that is so, and if there is no way around this, then it makes > sense to develop some compatibility mode. How does native C code > generate these tables? I might've

Sorry I meant 0xE8, 0xFF was in my head because of disassembling and seeing it in use, my bad. Ok I didn't thought about PIC, that's a good idea ! ... I forgot it existed at the wrong moment I guess ... How can I modify the GOT then ? Is there an api somewhere in the execution engine / MCJIT ? Or is it somewhere else ? Or I need to accept the idea of hacking stuff inside the LLVM code

I am trying to get a measure of how R compares in usage as a statistical platform compared to other software. I would guess it is the most widely used among statisticians at least by virtue of it being open source. But is there any study to which I can refer? By asking this list I am not exactly adopting a rigorous approach! Best wishes John John Logsdon

Does R have a function like the S(plus) function, lmsreg, Least Median of Squares Regression? I am using R-0.61. Thank you, Mike Fleming mfleming at nass.usda.gov -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or

Does R have a function like the S(plus) function, lmsreg, Least Median of Squares Regression? I am using R-0.61. Thank you, Mike Fleming mfleming at nass.usda.gov -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or

I have a list of entrants (1-14 in this example) in a competitive event and corresponding win probabilities for each entrant. [(1, 0.049), (2, 0.129), (3, 0.043), (4, 0.013), (5, 0.015), (6, 0.040), (7, 0.066), (8, 0.038), (9, 0.204), (10, 0.022), (11, 0.234), (12, 0.044), (13, 0.068), (14, 0.035)] So, of course Sum(ps) = 1. In order to make some subsequent computations more

I need to run a Java-enabled Firefox on my CentOS4.1-powered laptop and it *was* running fine. Then yesterday I up2date'd the box and Firefox went from 1.0.4 to 1.0.6. And I lost Java. I can't seem to re-install it, whether from the original (1.5.0 I think it was) or the latest downloads. This is crucially important as I need to access my Dell RAC. Can anyone advise how to get

Hello I know that R's string functions are not as extensive as those of Unix but I need to do some text handling totally within an R environment because the target is a Windows system which will not have the corresponding shell utilities, sed, awk etc. Can anyone explain the following gsub phenomenon to me: >