similar to: Release of phia 0.2-0

Hi folks, I love the Phia package andwant to use it with glmmTMB, but when i try to use the interactionMeans command, i get the below error modelrepeatedmain2 <- glmmTMB(counts ~ cluster*nominated*nominator*junior_senior+Ltime+ (1|school)+(1|id), data=d_shortf, family=nbinom1)

Dunno ... But you might do better posting this on the r-sig-mixed-models list where it both should fit better and where you are more likely to find the relevant expertise. Cheers, Bert Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) On Thu,

A (late) update to this question: On Fri Aug 17 07:33:29, Henrik Singmann wrote: > Hi Diego, > > I am struggeling with this question also for some time and there does > not seem to be an easy and general solution to this problem. At least I > haven't found one. > However, if you have just one repeated-measures factor, use the solution > describe by me here:

Hi, I'm afraid that the function read.octave from package "foreign" has some problems with the ASCII data format exported by new versions of Octave (later than 3.2.X). It fails even for a simple case as: [Octave code:] octave:1> x=1; octave:2> save -ascii testdata.mat x [Now in R:] > octavedata <- read.octave('testdata.mat') Mensajes de aviso perdidos In

I have a doubt about the calculation of tests for fixed effects in mixed-effects models. I have read that, except in well-balanced designs, the F statistic that is usually calculated for ANOVA tables may be far from being distributed as an exact F distribution, and that's the reason why the anova method on "mer" objects (calculated by lmer) do not calculate the denominator df nor a

I have encountered a problem with faceted bar plots. I have tried to create something like the example explained in the ggplot2 book (see pp. 126-128): library(ggplot2) mpg4 <- subset(mpg, manufacturer %in% c("audi", "volkswagen", "jeep")) mpg4$manufacturer <- as.character(mpg4$manufacturer) mpg4$model <- as.character(mpg4$model) base <-

Hi, I just started to use R for my Phd. I have to write a Formula by witch, given two matrices of vectors (electrostatic potential map) I shall calculate the similarity between them. Could you please tell me if I'am doing it right. The complecte formula is attached to an image file the script #!/usr/bin/env Rscript options(max.print=2000000) x<-read.table("a")

Hi All, I have data about seed predation (SP) in fruits of three differents colors (yellow, motted, dark) and in two fruiting seasons (2007, 2008). I performed a GLMM (lmer function, lme4 package) and the outcome showed that the interaction term (color:season) was significant, and some combinations of this interaction have significant Pr(>|z|), but I don't think they are the right

Hi, I know that the type of model described in the subject line violates the principle of marginality and it is rare in practice, but there may be some circumstances where it has sense. Let's take this imaginary example (not homework, just a silly made-up case for illustrating the rare situation): I'm measuring the energy absorption of sports footwear in jumping. I have three models (S1,

Mathew Brown Institute of Bioclimatology University of G?ttingen B?sgenweg 2 37077 G?ttingen, Germany t: +49 551 39 9359 mathew.brown at forst.uni-goettingen.de On 9/24/2011 6:00 PM, r-help-request at r-project.org wrote: > Send R-help mailing list submissions to > r-help at r-project.org > > To subscribe or unsubscribe via the World Wide Web, visit >

From: Ben Skeggs <bskeggs at redhat.com> We've previously had identical naming between vertex and texture formats, so it mostly made sense to define these together. However, upcoming patches are going to transition the driver over to using updated texture header definitions using NVIDIA's naming, and this will no longer be the case. Signed-off-by: Ben Skeggs <bskeggs at

Why not fix the new names instead to be like the old names? Seems like that would be way simpler... On Feb 15, 2016 12:38 AM, "Ben Skeggs" <skeggsb at gmail.com> wrote: > From: Ben Skeggs <bskeggs at redhat.com> > > We've previously had identical naming between vertex and texture > formats, so it mostly made sense to define these together. > > However,

For some time I have been looking for a convenient way of performing post-hoc analysis to Repeated Measures ANOVA, that would be acceptable if sphericity is violated (i.e. leaving aside post-hoc to lme models). The best solution I found was John Fox's proposal to similar requests in R-help: http://tolstoy.newcastle.edu.au/R/e2/help/07/09/26518.html

Signed-off-by: Ilia Mirkin <imirkin at alum.mit.edu> --- Tested on nv96 with Chris Forbes's piglit tests (on list, but not checked in yet)... only assuming about nvc0, but it seems reasonable since all the other attributes are the same. docs/GL3.txt | 2 +- src/gallium/drivers/nouveau/nv50/nv50_3d.xml.h | 1 +

Anyone ele having these issues mounting RDMA only volumes under Ubuntu? Install of Gluster via: https://launchpad.net/~semiosis/+archive/ubuntu-glusterfs-3.4 I'm guessing this build is looking for an include somewhere that is just misplaced? glusterfs 3.4.0beta4 built on Jun 28 2013 16:16:07 Repository revision: git://git.gluster.com/glusterfs.git Copyright (c) 2006-2011 Gluster Inc.

Dear list, Please find below an example of odd behaviour of the by function. It occurs both under GNU/Linux R 2.6.2 and Windows R 2.7.0alpha. Respective sessionInfo()'s are given below. I hope I do not overlook anything. testFactor <- factor(sample(LETTERS[1:6], size = 42, replace = TRUE)) testMatrix <- matrix(rnorm(42 * 6), nrow = 42) testDf <- as.data.frame(testMatrix) by(data

On Sat, Dec 19, 2015 at 1:53 PM, Ilia Mirkin <imirkin at alum.mit.edu> wrote: > These are supported on GK20A and GM107. > > Signed-off-by: Ilia Mirkin <imirkin at alum.mit.edu> > --- > > Was a bit torn on where to place the enums... we're about to gut all > the xml definitions so this seemed appropriate for now. > > Tested on GK20A only. > >

These are supported on GK20A and GM107. Signed-off-by: Ilia Mirkin <imirkin at alum.mit.edu> --- Was a bit torn on where to place the enums... we're about to gut all the xml definitions so this seemed appropriate for now. Tested on GK20A only. src/gallium/drivers/nouveau/nv50/nv50_formats.c | 64 +++++++++++++++++++++++++ src/gallium/drivers/nouveau/nvc0/nvc0_screen.c | 10 ++++

Hi all, several packages print messages during loading. How do I avoid to see them when the packages are in the defaultPackages? Here is an example. With this in ~/.Rprofile ,----[ ~/.Rprofile ] | old <- getOption("defaultPackages") | options(defaultPackages = c(old, "filehash")) | rm(old) `---- I get as last line when starting R: ,---- | filehash: Simple key-value

From: Ben Skeggs <bskeggs at redhat.com> Signed-off-by: Ben Skeggs <bskeggs at redhat.com> --- src/gallium/drivers/nouveau/nv50/g80_defs.xml.h | 279 ++++++++++++++++++++++++ 1 file changed, 279 insertions(+) create mode 100644 src/gallium/drivers/nouveau/nv50/g80_defs.xml.h diff --git a/src/gallium/drivers/nouveau/nv50/g80_defs.xml.h