similar to: Is it possible to model with Laplace's error distribution?

Hello! I am truing to compile an R-package having c-code. I put foo.c in src/ folder and useDynLib("foo") in NAMESPACE file. When trying R CMD check, I got an error message that shared object 'foo' is not found. Then I did R CMD SHLIB foo.c first. However, after that, I got warnings from R CMD check that there is an object file in /src folder. Even worse is if I run R CMD

> On Mar 24, 2015, at 3:22 PM, Xinliang David Li <davidxl at google.com> wrote: > > On Tue, Mar 24, 2015 at 2:47 PM, Bob Wilson <bob.wilson at apple.com <mailto:bob.wilson at apple.com>> wrote: >> >>> On Mar 24, 2015, at 12:08 PM, Xinliang David Li <davidxl at google.com> wrote: >>> >>> On Tue, Mar 24, 2015 at 10:54 AM, Bob

> On Mar 24, 2015, at 12:08 PM, Xinliang David Li <davidxl at google.com> wrote: > > On Tue, Mar 24, 2015 at 10:54 AM, Bob Wilson <bob.wilson at apple.com> wrote: >> >>> On Mar 24, 2015, at 10:53 AM, Diego Novillo <dnovillo at google.com> wrote: >>> >>> On Tue, Mar 24, 2015 at 1:48 PM, Bob Wilson <bob.wilson at apple.com> wrote:

Can you tell us if you're continuing to use the same approach as described in one of the LLVM meetings, i.e. instrument at the clang AST level? Also, do you generate GCOV files, some yaml, or is this a separate format? And finally in the meeting you had given how you assign counters to the blocks, an algorithm to minimize the number of insertions. Is that algorithm a well-known one or a

On Thu, May 7, 2015 at 8:43 AM, Bob Wilson <bob.wilson at apple.com> wrote: > >> On May 7, 2015, at 12:55 AM, Hayden Livingston <halivingston at gmail.com> wrote: >> >> Can you tell us if you're continuing to use the same approach as >> described in one of the LLVM meetings, i.e. instrument at the clang >> AST level? > > Yes, that is the

Hello! I am testing if my data are distributed under Laplace's distribution, which I managed to do with: > library(rmutil) > ks.test(jitter(x), "plaplace", mean(x), sd(x)) Nevertheless, I am trying to bootstrap ks.test without any success. Something is wrong in my commands: > data = read.table("data.dat",T) > library(rmutil) > library(boot) > ks.laplace =

I have installed lme4 library, but when I try something with lmer() function, I receive error message. On the other hand, I can use lme() function from the same library. Are those two the very same function or not? I am a bit confused. I am using: $platform: "i386-pc-linux-gnu" $arch: "i386" $os: "linux-gnu" $system: "i386, linux-gnu" $major: "2"

> On Mar 24, 2015, at 10:53 AM, Diego Novillo <dnovillo at google.com> wrote: > > On Tue, Mar 24, 2015 at 1:48 PM, Bob Wilson <bob.wilson at apple.com> wrote: >> >>> On Mar 24, 2015, at 10:27 AM, Xinliang David Li <davidxl at google.com> wrote: >>> >>> 2.3) remove the 'laplace rule of succession' which can be very harmful

Hello, Recently, I have asked for a help with building graphs, and I got few great advices. Now, my appetite is growing :) and I wander how to add legend for two (or more) lines in following example: matplot(DAT[, c(3,4)], type="b", ylim=c(0,8), xaxt="n", yaxt="n", + pch=c(21,22), col="black", lty=c("dashed","solid"), xlab="",

Hello ALL! I am running Fedora 16 x86_64. Due to some dubious problems, that i couldn't resolve, with the TeXLive (2007, which is a default), I removed it. That removed R as well, and some other dependent packages. Then, I installed TeXLive 2011 from CTAN. However, when I wanted to install R, from Fedora's repositories, it asks for some TeX dependencies (for example, tex-preview,

I am using R 2.1.1 on i486-pc-gnu-linux (Ubuntu Breezy). Recently, I bought new laptop HP nx8220 and installed Breezy with a few problems starting X-Windows. Nevertheless, I followed some instruction, managed to start X, and added R from the Ubuntu's repositories. When I try to produce any graph (like plot, bwplot etc.), I receive an error message: can't find X11 font Error in X11( ....

Hello ALL! First, I apologize for sending question that spill-out from the scope of this list. However, you might be essentially the best informants. In brief, I am thinking to give second shot to the Debian. Currently I am using Ubuntu 9.04, but Debian still teases me, so to say. I used to use Debian testing (Lenny at that time), but when Lenny became stable, things became very shaky in

Hello ALL! Some times ago I started to learn and play with Bayesian stuffs. Many advice use of WinBUGS for Bayesian inference Using Gibbs Sampler. However, WinBUGS is discontinued, and now, development is under OpenBUGS. I wasn't lazy, so I installed both and tried out. In more than 90% of cases they give comparable outcome. But in few cases I got substantial differences. Recently, I read nice

Hello! I am running analysis on the data from 4 experiments, with approximately 4600 rows (cases). My working model is: fitA1 = lme(RT~F1+F2+L,random=~1|Experiment/Subject,data=data) Model works very fine, but if I try to check whether the effect of L depends on Experiments/Subjects with: fitA2 = lme(RT~F1+F2+L,random=~1+L|Experiment/Subject,data=data) [with the idea to make: anova(fitA1,fitA2)]

Hello! I recently switched to Debian testing OS and explanation at the: http://cran.at.r-project.org/bin/linux/debian/ is a little bit fuzzy. Can anyone give step-by-step how-to have updated R on Debian testing and/or unstable. Thanks in advance! PM

Dear R users I encounter a problem when i perform a generalized linear mixed model (binary data) with the lmer function (package lme4) with R 2.1.0 on windows XP and the latest version of package "lme4" (0.96-1) and "matrix" (0.96-2) both options "PQL" and "Laplace" for the method argument in lmer function gave me the same results (random and fixed effects

Hello! I am trying with this question again: I would like to test few distributional assumptions for some behavioral response data. There are few theories about true distribution of those data, like: normal, lognormal, gamma, ex-Gaussian (exponential-Gaussian), Wald (inverse Gaussian) etc. The best way would be via qq-plot, to show to students differences. First two are trivial: qqnorm(dat$X)

Hello ! I am really happy to find this list. I am not new to R but to Debian or Linux in general. Up to now I used R on MS Windows but now I want to use R on Debian lenny. I have absolutely no experience with Debian. I was able to install R 2.11 on my system using the instruction in the readme on CRAN. I can open R in the shell. On windows I used R with the R GUI or with Tinn-R. Is there the

Dear users, is anybody of you aware of a R command to perform laplace transform or even its inversion? Thank you very much. Luca

Dear Helpers, I am new in Linux and R, trying to update packages I need in my work, but repeatedly I failed for reasons I do not understand. First, I use: > update.packages() Then, I choose nearest mirror and accept update of 'Design' package: > Design : > Version 2.0-9 installed in /usr/lib/R/site-library > Version 2.0-12 available at http://cran.r-mirror.de > Update