similar to: lme: reproducing example

Dear R People: I have the following in a file: resp factA factB 39.5 low B- 38.6 high B- 27.2 low B+ 24.6 high B+ 43.1 low B- 39.5 high B- 23.2 low B+ 24.2 high B+ 45.2 low B- 33.0 high B- 24.8 low B+ 22.2 high B+ and I construct the data frame: > collard.df <- read.table("collard.txt",header=TRUE) > collard.aov <- aov(resp~factA*factB,data=collard.df) >

Hi I searched in the list and only found questions without answers e.g. http://finzi.psych.upenn.edu/R/Rhelp02a/archive/19955.html : Is there a way to get the same results with lme as with aov with Error()? Can anybody reproduce the following results with lme: id<-c(1,1,1,2,2,2,3,3,3,4,4,4,5,5,5,1,1,1,2,2,2,3,3,3,4,4,4,5,5,5,1,1,1,2,2,2,3,3,3,4,4,4,5,5,5)

Does R graphics have a way to easily label the horizontal axis by the reciprocal of the scaled value? -- View this message in context: http://r.789695.n4.nabble.com/Graphics-Reciprocal-labeling-tp3949054p3949054.html Sent from the R help mailing list archive at Nabble.com.

Hi I have an action which saves the originating resource from which it was called, and returns to it later. This is done by setting: session[:return_to] = request.referer ... redirect_to(session[:return_to]) Which works great for GET resources. The problem is that POST variables aren''t kept in request.referer, so this method fails when the originating resource is a a POST.

Hello, I'd like to reproduce the standard biplot with pc.biplot=TRUE using xyplot in lattice in order to assign different symbols to groupings of observations (similar to the example in fig. 11.2 on page 285 in DAAG). In order to reproduce the biplots I need to know how to scale the observations and variables. In ?biplot.princomp I found that the variables are scaled by 'lambda ^

Are the packaging scripts used to produce the clang+llvm binaries on llvm.org under version control? If so, can you please point me to them? Thanks, Greg

On Tuesday 09 July 2013 15:11:03 Greg Fitzgerald wrote: > Are the packaging scripts used to produce the clang+llvm binaries on > llvm.org under version control? If so, can you please point me to > them? The script used for building the binaries can be found under llvm : utils/release/test-release.sh The packages are mere tarballs of the installation dir. Cheers, > > Thanks,

On Fri, Apr 11, 2014 at 12:35 AM, Kostya Serebryany <kcc at google.com> wrote: > > I wonder if we can configure the lit test runner to print the (tail of) > test output on failure. > You'd have to teach FileCheck, actually, since it's the one that consumes stderr in this case. Rather than doing that, why not use *SAN_OPTIONS=log_file=blah.txt, and teach lit to dump that

This is probably a trivial question but the way I used to do this turns out to be flawed. I used run clang with -O0 -emit-llvm and then use the resulting IR with opt -O3. The problem is that clang at -O0 does not generate TBAA metadata so the passes run by opt behave differently. What’s the recommended way of doing this? Thanks, Adam

Greetings, I am doing many iterations of simple optimizations using the L-BFGS-B method of optim() in R-1.6.2. Very rarely (about 1 in every 100,000 trials), a process will encounter some problem in optim that triggers the error message "non-finite value supplied by optim". From the C code, it appears that this message could be emitted

Dear R-Users, I'm currently studying the book Statistical model in S by Chambers J.M and Hastie T.J.. At page n 3 there's a plot showing the means of a variable at each of the levels of the factors of an experiment. I hope to be able to reproduce it here by ASCII art. B6 S | | Thin | | | | | | B3 __|_____|_____|__......etc | |

Hi everybody, I'm a newbye with lots of problems :). I'm trying to use nlsystemfit, but I recieve two error messages whose origin that I don't understand. 1) When I try to reproduce the example reported in the systemfit package manual, that is library( systemfit ) data( ppine ) hg.formula <- hg ~ exp( h0 + h1*log(tht) + h2*tht^2 + h3*elev + h4*cr) dg.formula <- dg ~ exp( d0

Dear List: I am having some trouble reproducing some GLS estimates using matrix operations that I am not having with other R procedures. Here are some sample data to see what I am doing along with all code: mu<-c(100,150,200,250) Sigma<-matrix(c(400,80,16,3.2,80,400,80,16,16,80,400,80,3.2,16,80,400),n c=4) sample.size<-100 temp <-

> The script used for building the binaries can be found under llvm : > utils/release/test-release.sh Thanks! A few follow-up questions: > # Phase 3: Build llvmCore with newly built clang from phase 2. > c_compiler="$gcc_compiler -fplugin=$dragonegg_phase2_objdir/dragonegg.so" > cxx_compiler="$gxx_compiler

Hello, can anybody tell me how to produce a plot like the one in http://cran.r-project.org/web/packages/lme4/vignettes/Implementation.pdf on page 13, Figure 6? The data is stored in: library(nlme) data(Oats) Cheers -- View this message in context: http://r.789695.n4.nabble.com/Help-needed-in-reproducing-a-plot-tp4119603p4119603.html Sent from the R help mailing list archive at

On Wed, Apr 18, 2018 at 5:45 PM, Michael Zolotukhin via llvm-dev <llvm-dev at lists.llvm.org> wrote: > Hi, > > Recently I committed a change (r330175) that passed all my testing, but > failed on several bots. Namely, these are the failed ones: > http://lab.llvm.org:8011/builders/clang-with-thin-lto-ubuntu/builds/9803 >

<http://r.789695.n4.nabble.com/file/n4645492/graph.jpg> I need to replicate this graph. It is a simple normal distribution-curve with mean 90 and sd=10. The vertical bars is the 95% confidence limit of the mean. How on earth do I add those confidence limits? Im thinking something that has to do with: c(0.025,0.975) But I really dont know :S Any help? -- View this message in

On Dec 7, 2007, at 1:43 AM, Wojciech Matyjewicz wrote: > Recently, I was looking into the bug #1227. I wanted to check if > reordering optimization passes could solve it. To start with, I > tried to > reproduce the output of llvm-g++ -O3 using the combination of llvm-g++ > -O0 and opt with the appropriate passes. However, I was unable to. I > use > SVN versions of llvm and

So I think I am able to reproduce the dropped call scenario. Here is what I do to get a dropped call: 1. Call 1-800-tmobile 2. Go true their IVR and get connected to the customer service IVR 3. Enter my number and SSN 4. press 0 5. Then the audio please hold starts. After about 2-4 seconds the call gets dropped. (fast busy tone) The time on my phone will stop running (call time) and I will get

Dear R users, I would like to exactly reproduce a figure like the 1.5 or 1.9 or 4.13 from the book Mixed effects models in S and S-Plus. Not for the sake of it, but because I have my own data I would like to plot in that fashion (no colors) If I write plot(ergoStool) I can get a good informative plot with colors, but I would like to have a B&W one instead. I've played a little with