similar to: average X value of specific Y

Hello I have a table describing butterfly range traits. It is composed of three columns as below Species name range size (X) latitude of range midpoint (Y) There are 11 kinds of butterflies. Each has its range size, and the latitude of each range midpoint ranges from 9 to 19. I would like to have the average range size of every degree of latitude. For example, the average range

Hello One of my packages, untb_1.3-2, passes R CMD check under MacOSX (and apparently the systems used in the package check summary page on CRAN) but fails with the following message on R-2.6.0.tgz compiled last night on my (home) linux box. I hasten to add that I have never seen this error before on home-compiled pre-releases of R-2.6.0. Can anyone help me understand what is going on?

In mdct.c there's some functions including some-point butterfly. In 32-point and 16-point there are calling of smaller-point function everytime twice on each half of data. When I looked on it I found that's just linear algebra. So it can be rewritten to matrix multiplication. Some one can say: there's optimization on in register working. But imagine there's one calling 32-point,

I took function mdct_butterfly_8 and write out transformation matrix. Then I rewrote this matrix into sequence of additions and substractions (see attachement). As I suspected I got the same as in the original code but I swaped some rows to get little higher speed. I hope I'll do the same with 16 point butterfly function combined with 8 point butterflies in a month. Who still believe that this

Hi all, I am trying to do a generalized estimating equation (GEE) with the "geepack" package and I am not 100% sure what exactly the "id" argument means. It seems to be an important argument because results differ considerably defining different clusters. I have a data set of counts (poisson distribution): numbers of butterfly species counted every month during a period of

Hi, The other day on IRC myself, Chandler, Hal and Pablo discussed recursive inlining. I've pondered a bit since then, and thought I'd get some background on the list with the aim of stimulating discussion. Our goal is to inline recursive functions. We have several workloads with recursive calls, and inlining them to a certain degree can improve performance by up to 30%. Inlining

Dear R list, I have a sequence of weekly observations of number of adults and larvae in various size classes from a butterfly population living in a subtropical area with pronounced wet and dry seasons. Wet and dry seasons are each defined 26 weeks long with fixed start and end dates. The data span 103 weeks (two seasons each of wet and dry) with some missing weeks. What I would like to do is

for months, we keep fighting issues with smbd (now at released 2.2.6), config is with spoolss, domain logon, and the client in question is an NT4 machine. server is a i386/linux 2.2.19 For a very long time, we thought it was related to oplocks, but now after having them disabled, it still is there. Level 3 Log is as follows: [2002/10/22 17:08:18, 3] smbd/ipc.c:reply_trans(480) trans

Hi Anton, and happy new year all, >>One questions though: is it possible to "verify" the results of all >>the computations somehow? Good point, and there is no automated way currently, but we can work on that. Note that simulation suffers from the 'butterfly effect', so the smallest change anywhere, (cpu, compiler etc) diverges into totally different results after a

Hello , I want to compare two quadratic regression models with non-parametric bootstrap. However, I do not know which R package can serve the purpose, such as boot, rms, or bootstrap, DeltaR. Please kindly advise and thank you. Elaine The two quadratic regression models are y1=a1x^2+b1x+c1 y1= observed migration distance of butterflies() y2=a2x^2+b2x+c2 y2= predicted migration distance of

Hi Hal, > As we had briefly mentioned on IRC, one way of forming this 'stack', and its associated 'cnt' variable, is to use dynamic stack allocation. I hadn't really reached a decision on the mechanics yet. However, your suggestion while it can work within the current abilities of the IR, has the disadvantage that it is using an extra stack slot for the link pointer. I

Hello, I am work with a linear regression model: y=ax+b with the function of lm. y= observed migration distance of butterflies x= predicted migration distance of butterflies Usually the result will show if the linear term a is significantly different from zero based on the p-value. Now I would like to test if the linear term is significantly different from one. (because I want to know

The current development version dies in qbeta() when compiled with egcs -O, egcs 1.0.2 and glibc 2.0.7 (RedHat versions). Since this also kill the F and t distributions, it doesn't exactly do wonders for R's usefulness... Anyone else seeing this or has my setup just gone out of whack? It does look pretty much like a clear compiler bug when inlining math functions (storing temporaries

Hello, I have two very rudimentary questions regarding the random effects terms in the lme and lmer functions. I apologize if this also partly strays into a general statistics question, but I'm a bit new to this all. So hopefully it'll be a quick problem to sort out... Here is my experimental setup: I raised butterflies in 5 different testing chambers all set to different

Hello, I'm relatively new to Samba, but have it set up on my RedHat 7.3 system, and it's running great. Except for one thing, and I'm not sure if this is a Samba problem or a problem with my machines. What the problems appears is that when I'm copying or moving images (jpegs, bmps are the only two I've tried so far) from both my laptop and my desktop (both Win2k mahcines),

Hi, My question is: if I want to recompile and reinstall a newer version of R under linux, must I remove the old binaries previously installed ? If yes where are located them? Thanks! Andrea. -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or

libvorbis does not currently have any simd/vectorization. Following patches add generic framework for simd/vectorization and on top, add ARM-NEON simd vectorization using intrinsics. I was able to get over 34% performance improvement on my Beaglebone Black which is single Cortex-A8 based CPU. You can find more information on metrics and procedure I used to measure at

Hi, Apologies for the very late response. We have manually tried the idea with a very simple Fibonacci sequence code. While being very very simple, the recursion cannot be handled by TRE. Because there are two recursive callsites, it also needs to keep some sort of state across iterations of the "while(stack not empty)" loop. We get between 2.5 and 8x slowdowns depending on which

I want to get path profiling information with LLVM. LLVM provides methods for path profiling.I also get the llvmprof.out successfully. So I want to output the result.With llvm-prof ,I get the error:llvm-prof: Unkknown packet #5. So I have to write my own pass to output the path profiling result,the following is my kernel codes:

...Continued from the other email Removing the defs section We can potentially infer quite a lot of the defs section but it requires both a complicated ruleset and that tblgen spends processing time doing the inferencing. That processing time is potentially significant for large combiners and for that reason we need to be careful not to let inferencing become a burden on tblgen. My main worry