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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 ever...

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 ever...

...OK * checking examples ... ERROR Running examples in 'untb-Ex.R' failed. The error most likely occurred in: > ### * butterflies > > flush(stderr()); flush(stdout()) > > ### Name: butterflies > ### Title: abundance data for butterflies > ### Aliases: butterflies butterfly > ### Keywords: datasets > > ### ** Examples > > data(butterflies) > plot(butterflies, uncertainty=TRUE) Error in log(theta) : could not find symbol "base" in environment of the generic function Calls: plot ... optimal.theta -> optimize -> <Anonymous&gt...

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 the...

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

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

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

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

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 com...

...#include <math.h> double lbeta(){} double qbeta(double alpha, double p, double q) { double t,r, logbeta; volatile double xinbta; logbeta = lbeta(p, q); if (p<1) t = r * pow(t, 3.); return xinbta; } main(){qbeta(.5,.5,.5);} [pd@butterfly sandbox]$ egcs -O qbeta.c -lm [pd@butterfly sandbox]$ ./a.out Segmentation fault (core dumped) [pd@butterfly sandbox]$ egcs qbeta.c -lm [pd@butterfly sandbox]$ ./a.out -- O__ ---- Peter Dalgaard Blegdamsvej 3 c/ /'_ --- Dept. of Biostatistics 2200 Cph. N (*) \(*)...

Hello, I am work with two quadratic regression models y=ax^2+bx+c with the function of lm. y1= observed migration distance of butterflies(y1=a1x^2+b1x+c1) y2= predicted migration distance of butterflies (based on body mass) (y2=a2x^2+b2x+c2) x= body mass of butterflies Now I would like to check the two regression model differ by testing if the coeffients (a, b, c) of the y1 and the y2

...a_place_for_eternal_rest_1600.bmp a_place_for_eternal_rest_1600.bmp:{4c8cc155-6c1e-11d1-8e41-00c04fb9386d}:$DA TA a_place_for_eternal_rest_1600.bmp:?Q30lsldxJoudresxAaaqpcawXc:$DATA fire-35.bmp fire-35.bmp:{4c8cc155-6c1e-11d1-8e41-00c04fb9386d}:$DATA fire-35.bmp:?Q30lsldxJoudresxAaaqpcawXc:$DATA GC-butterfly II1280x960.bmp GC-butterfly II1280x960.bmp:{4c8cc155-6c1e-11d1-8e41-00c04fb9386d}:$DATA GC-butterfly II1280x960.bmp:?Q30lsldxJoudresxAaaqpcawXc:$DATA wapache4.bmp wapache4.bmp:{4c8cc155-6c1e-11d1-8e41-00c04fb9386d}:$DATA wapache4.bmp:?Q30lsldxJoudresxAaaqpcawXc:$DATA [root@blackhole pub]# Anyone...

...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 one year (12 repeated measures) at seven sites, three of those being "continuous forest sites" and four of those being "secondary forest sites". The aim is to compare continuous and secondary forests. Would you define the sites or...

...se(i)) { f(); continue; } g(i); stack[cnt++] = i / 2 + 1; stack[cnt++] = i / 2; } OK, it's still a well-formed loop, we can still do useful operations on it like LICM or, if it's profitable, unrolling. Now what about a more complex case, like in the FFT butterfly algorithm: void ex4(i) { if (is_base(i)) { f(i); return; } g(i); ex4(i / 2); ex4(i / 2 + 1); h(i); } Here, we have to do work after the last recursive call. This presents a problem, because we don't have any of the caller's context when...

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

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 compare means of each type...

Hi there, I am trying to reorganized my data sets so that it is easy for MARK to read it. Basically I have the encounter histories of 1837 butterflies The data looks like this the first 4 columns are the occasions and the last two code for male and female > t1 t2 t3 t4 M F > 1 0 0 0 1 0 male capture on time1 but not seen on time 2, 3 > and 4 > 1 0 0 0

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

Dear all, I am trying to use the GEE methodology to fit a trend for the number of butterflies observed at several sites. In total, there are 66 sites, and 19 years for which observations might be available. However, only 326 observations are available (instead of 1254). For the time being, I ignore the large number of missing values, and the fact that GEE is only valid under MCAR. When I run the

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: