similar to: hard to believe speed difference

A few random observations: 1. Clang could do better with large but boring switches like this: http://embed.cs.utah.edu/embarrassing/jan_10/harvest/source/E8/E88C5111.shtml Performance of clang's output will be fine but this is a major code size lose. 2. Destruction of stupid loops is incomplete, sometimes due to phase ordering problems:

> Umm, can you find one that isn't a popcount implementation? Ok. MMX psadbw instruction: http://embed.cs.utah.edu/embarrassing/jan_10/harvest/source/CE/CE3DA132.shtml Position of first set bit: http://embed.cs.utah.edu/embarrassing/jan_10/harvest/source/1F/1F4003C7.shtml Log2 floor: http://embed.cs.utah.edu/embarrassing/jan_10/harvest/source/83/837A80E9.shtml Pixel format

Hi all-- We are planning an intervention study for adolescent alcohol use, and I am planning to use simulations based on a hurdle model (using the hurdle() function in package pscl) for sample size estimation. The simulation code and power code are below -- note that at the moment the "power" code is just returning the coefficients, as something isn't working quite right. The

R-Users, I am working with gplots (in gregmisc bundle) plotting some posterior probabilities (using barplot2) of harvest bag limits for discrete data (x-axis from 0 to 12, data is counts) and I ran into a couple of questions whose solutions have evaded me. 1) When I create and include the confidence intervals, the lower bound of the confidence intervals for several of the posterior probabilities

On Tue, Jan 26, 2010 at 12:36 PM, John Regehr <regehr at cs.utah.edu> wrote: > 2. > Sometimes not: > > http://embed.cs.utah.edu/embarrassing/jan_10/harvest/source/EC/ECC74C0C.shtml The primary issue here is that scalar evolution doesn't know how to deal with loops using "sle" for the exit condition. Shouldn't be too hard to fix now that we have overflow flags

>> Repetitive code with lots of bitwise operations is compiled by LLVM into >> much larger code than the other compilers: >> >> http://embed.cs.utah.edu/embarrassing/jan_10/harvest/source/ED/ED37DAF5.shtml >> http://embed.cs.utah.edu/embarrassing/jan_10/harvest/source/1F/1F4003C7.shtml >> >> Note that this is straight-line code, so LLVM's output will

Hi there I'm trying to find the mle fo a multinomial model ->*L(N,h,S?x)*. There is only *N* I want to estimate, which is used in the number of successes for the last cell probability. These successes are given by: p^(N-x1-x2-...xi) All the other parameters (i.e. h and S) I know from somewhere else. Here is what I've tried to do so far for a imaginary data set:

On Tue, Jan 26, 2010 at 5:55 PM, John Regehr <regehr at cs.utah.edu> wrote: >>> Repetitive code with lots of bitwise operations is compiled by LLVM into >>> much larger code than the other compilers: >>> >>> >>> http://embed.cs.utah.edu/embarrassing/jan_10/harvest/source/ED/ED37DAF5.shtml >>> >>>

Hello everybody, In am trying to analyse a BACI experiment and I really want to do it with R (which I find really exciting). So, before moving on I though it would be a good idea to repeat some known experiments which are quite similar to my own. I tried to reproduce 2 published examples but without much success. The first one in particular is a published dataset analysed with SAS by

Hi, I have written a function "harvest" and I would like to run the function for each value in a vector c(1:1000). The function returns 4 list objects (obj_1, obj_3, obj_3, obj_4) using the following code at the end of the function: return(list(obj_1 = obj_1, obj_2 = obj_2, obj_3 = obj_3, obj_4 = obj_4)). Since I am connecting with the web in the function and the connection sometimes

There's some interest in my "auto-simplifier", which is nice :), so let me explain a bit about it. On 19/01/11 19:35, Sandeep Patel wrote: > You've mentioned your auto-simplifier a few times now and curiosity is > getting the better of me. Can you explain it a bit more? On 20/01/11 00:32, Nuno Lopes wrote: > Just out of curiosity, what's this auto-simplifier?

Hi everyone. I have these data: probClass<-seq(0,0.9,0.1) prob1<-c(0.0070,0.0911,0.1973,0.2949,0.3936,0.5030,0.5985,0.6869,0.7820,0.8822) prob2<-c(0.0066,0.0791,0.2358,0.3478,0.3714,0.3860,0.6667,0.6400,0.7000,1.0000) # which I'm plotting as follows: plot(probClass,prob1,xlim=c(0,1),ylim=c(0,1),xaxs='i',yaxs='i',type="n") lines(probClass,prob1)

It seems that MASS suggest to judge on the basis of sum(residuals(mode,type="pearson"))/df.residual(mode). My question: Is there any rule of thumb of the cutpoiont value? The paper "On the Use of Corrections for Overdispersion" suggests overdispersion exists if the deviance is at least twice the number of degrees of freedom. Are there any further hints? Thanks. -- Ronggui

Hi, I'm new to R and I've run into a problem that I'm not really sure how to express properly in the language. I've got a data table that I've read from a file containing some simple information about the performance of 4 algorithms. The columns are the name of the algorithm, the problem instance and the resulting score on that problem (if it wasn't solved I mark that

Hi, Does anyone know if the D'agostino test is available with R ? Alex

Dear list, Given a linear mixed model (from lme4) I want to 1) first change the input dataset and then 2) change the model formula. I want this to happen in a function call; Please see below. Options 1) and 2) below work whereas 3) fails with the message > foo() Error in is.data.frame(data) : object 'beets2' not found Question: What is it one must to in case 3) to have R look

Is there a way to listen on port 25 for repeated dictionary attacks to harvest email address and blacklist that Ip with shorewall? Thanks, Mike

R Experts, I would like to create a series of variables without having to assign a separate line of code for each new variable. My dataframe (DF) contains two groups of linked variables (ESP1:ESP9) and (ECRL1:ECRL9). Within ESP1:ESP9 are abbreviated species codes (full dataframe contains 26 codes). ECRL1 represents the number of species x in variable ESP1 harvested, and so on through ESP9 and

Hi Guys, Is it possible to harvest the output of system into a SetVar(variable)? exten => s,n,SetVar(var=system(*asterisk -rx "sip show channels" | grep -c "(ulaw)")* * * *??? any problem with the syntax? * * * * * *Thanks,* * * -------------- next part -------------- An HTML attachment was scrubbed... URL:

Fairly new at this. Trying to create a conditional density plot. >cdplot(status~harvd.l,data=phy) Error in cdplot.formula(status~harvd.l,data=phy): dependent variable should be a factor What does this error mean? Status is a binary response of infestation (0/1) and harvd.l is the log of timber harvest density per catchment. Thanks. -- View this message in context: