similar to: [LLVMdev] llvm Negative Testing

Hi, I am trying to display / print certain columns in my data frame that share certain condition (for example, part of the column name). I am using for loop, as follow: # below is the sample data structure all.data <- data.frame( NUM_A = 1:5, NAME_A = c("Andy", "Andrew", "Angus", "Alex", "Argo"), NUM_B = 1:5, NAME_B =

Hi Guys, When I have a username like foo-bar-candy can I get/seperate foo, bar and candy as single variables for my storagepath of the usermail ? Thanks, Matt

Most of the time, if I plug a USB drive into my computer, gnome/centos/whatever will ask me what I want to do with it. With a Hitachi Lifestudio, all the partitions mount without asking me. How do I stop that behavior? My suspicion is that the same kind of mechanism is what makes candy drops work. So far as I know, my backup drive is not candy, but I would still like to be able to control my

Thank you for answering my E-mail. According to http://lists.cs.uiuc.edu/pipermail/llvmdev/2012-March/047989.html, I open the link: https://hpcforge.org/scm/viewvc.php/trunk/patches/llvm.gpu.patch?root=kernelgen&view=markup https://hpcforge.org/scm/viewvc.php/trunk/patches/llvm.patch?revision=591&root=kernelgen&view=markup The result is: SCM Repository An Exception Has Occurred

In llvm3.0,I use the llc to convert the IR to C code, But the code lack key words like "struct", Who can tell me how to modify the CBackend, 3Q ^-^ -------------- next part -------------- An HTML attachment was scrubbed... URL: <http://lists.llvm.org/pipermail/llvm-dev/attachments/20120818/ee901cb1/attachment.html>

Hi, First of all, please note: as of v3.1, C backend has been thrown away for being "buggy" and "unmaintained". Several months ago there was a similar question, and it was solved. Please see the patch attached here: http://lists.cs.uiuc.edu/pipermail/llvmdev/2012-March/047989.html Best, - D. 2012/8/18 xiaoyaollvm <xiaoyaollvm at 126.com>: > In llvm3.0,I use the llc

Hi all, I have the file which is assemble, I want to convert it to IR. Are there some tools to do this in LLVM? Thanks, Yao -------------- next part -------------- An HTML attachment was scrubbed... URL: <http://lists.llvm.org/pipermail/llvm-dev/attachments/20130503/d7fd4741/attachment.html>

Has anyone already worked out the files involved in changing from the rather pedestrian screensaver to some more pleasing eye candy like Fedora Core 5 uses? thnx/ldv

Hi! Just did a TEST install of centos5 on an old PIII box. one of the things I wanted to see was the fancy desktop eye-candy of compiz and/or beryl. This box has a nvidia 6600 series card, and I've isntalled the Nvidia drivers (download from nvidia and run their installer). I used the software updater to install compiz (didn't show up on original install, perhaps I didn't hold my

Dear list, I would like to fit a negative binomial regression model as described in "Byers AL, Allore H, Gill TM, Peduzzi PN., Application of negative binomial modeling for discrete outcomes: a case study in aging research. J Clin Epidemiol. 2003 Jun;56(6):559-64" to my data in which the response is count data. There are also 10 predictors that are count data, and I have also 3

Hi I am running an lmer which works fine with family=poisson mixed.model<-lmer(nobees~spray+dist+flwabund+flwdiv+round+(1|field),family="poisson",method="ML",na.action=na.omit) But it is overdispersed. I tried using family=quasipoisson but get no P values. This didnt worry me too much as i think my data is closer to negative binomial but i cant find any examples of

Hi; I am running generalized linear mixed models (GLMMs) with the lmer function from the lme4 package in R 2.6.2. My response variable is overdispersed, and I would like (if possible) to run a negative binomial GLMM with lmer if possible. I saw a posting from November 15, 2007 which indicated that there was a way to get lmer to work with negative binomial by assigning: family =

On 03/11/18 02:31, Robert Heller wrote: <snip> > Yeah, there are very few of us that completely skipped > MS-DOS/MS-Windows/MacOS-Clasic and *never* used a graphical file manager or > any of the eye-candy that people now believe is "standard" or "normal". I > went from VMS on a VT<whatever> to a VAXStation 2000 to a VAXStation 3000, to >

Hello After add some packagelist to puppet class. I get lots of warning message "appears to have a negative number of dependencies". My puppet master and agent version are 3.3.1. Here is the log out: [root@gpu022 ~]# puppet agent --test Info: Retrieving plugin Info: Loading facts in /var/lib/puppet/lib/facter/puppet_vardir.rb Info: Loading facts in

Dear List, Why do commonly used estimator functions (such as lm(), glm(), etc.) not allow negative case weights? I suspect that there is a good reason for this. Yet, I can see reasonable cases when one wants to use negative case weights. Take lm() for example: ### n <- 20 Y <- rnorm(n) X <- cbind(rep(1,n),runif(n),rnorm(n)) Weights <- rnorm(n) # Includes Pos and Neg Weights Weights

Craig A Faulhaber wrote: >I am interested in using a generalized linear mixed model with data > that best fits a beta distribution (i.e., the data is bounded between > 0 and 1 but is not binomial). .. >For clarification, here's what I'm trying to model: >I have a beta-distributed response variable (y). I have a fixed-effect >explanatory variable (treatment),

Josh Coalson wrote in 2009 <http://lists.xiph.org/pipermail/flac-dev/2009-April/002654.html>: "the reference encoder has avoided negative shifts entirely since 1.1.4. negative shifts were meant to be positive shifts in the opposite direction but they were implemented directly with << >> and in C negative shifts are undefined. treat as an error for now to avoid bad behavior

Full_Name: Chanseok Park Version: 1.8.1 OS: linux-gnu Submission from: (NULL) (130.127.112.183) digamma with any negative value does not give a right answer. It gives -1.797693e+308 for any negative arguments. For example, digamma(-1.1) gives -1.797693e+308. The right answer should be 10.15416 This bug can be easily fixed by using the following digamma identity. digamma(x) = digamma(1-x) -

Matrix indexing seems to give rather "variable" results when zeros or negative values are included among the indices (in terms of both error messages and in terms of the number of returned values when there is no error message). Is this the intended behavior? I couldn't see any comments about zeros or negative values in matrix indices in either ?"[" or Section 3.4.2

[code]library(MASS) x=c(rep(0,8096), rep(1,1629), rep(2,233), rep(3,38), rep(4,4) ) x.bar=round(mean(x),4) x.var=round(var(x),4) p.hat=round(x.bar/x.var,4) alpha.hat=round(x.bar*p.hat/(1-p.hat),4) fitdistr(x, "Negative Binomial") fitdistr(x, "Poisson")[/code] 1- fitdistr(x, "Negative Binomial") the parameters got here,