similar to: Random covariate in survreg (Survival)

Dear R Gurus - Please help me to make a multiple-panel plot using xYplot in which the y-axis of each panel is dependent only on the data of that plot. Here is the dataset: response date mean Lower Upper 1 density 1 271.0000000 249.2500000 289.0000000 2 density 4 296.7500000 280.5000000 313.0000000 3 recruits 1 271.0000000 249.2500000

Hi there, juliusr at rainforest:~$ cat /etc/issue Ubuntu 9.04 \n \l juliusr at rainforest:~$ dpkg -l | grep -i zfs-fuse ii zfs-fuse 0.5.1-1ubuntu5 I have two 320gb sata disks connected to a PCI raid controller: juliusr at rainforest:~$ lspci | grep -i sata 00:08.0 RAID bus controller: Silicon Image, Inc. SiI 3512 [SATALink/SATARaid] Serial ATA Controller (rev

I am having trouble extracting residuals from Major Axis and Standardized Major Axis fits, using the smatr package. I wish to understand the relationship between density of wood in twigs and trunks, and how the slope of their relationship varies among sites, among families, and with tree size. These variance-partitioning desires push the analysis toward a mixed model framework. However,

Good afternoon My name is Joanne Lenehan, I am a post grad at UNE using R version 2.9.0 I came across the Tweedie package in old R help posts and was interested in giving it a go for some data. The data is below and also attached as BaregroundLitterLogs Site Treatment Graze Dam Plot Time Bare Litter Logs 1 C remote yes 1 A 0 2 0 1 C remote yes 2 A 0 15 0 1 HE

Hello and thanks in advance I am running a glm in R the code is as follows with residual diagnostic code below model4<-glm(Biomass~(Treatment+Time+Site)^2, data=bobB, family=quasi(link="log", variance="mu")) par(mfrow=c(2,2)) plot(model2) to test the effect of grazing exclusion of feral horses for a Phd with following factors: Treatment - 3 levels which are grazed

Sorry, I just posted the email below but realised I did not give a name or details, would it be possible to adjust before posting and send what is below, sorry again, first time user... From: Joanne Lenehan [mailto:jlenehan@une.edu.au] Sent: Tuesday, 1 December 2009 3:51 PM To: 'r-help@r-project.org' Subject: GLM Repeated measures test of assumptions: e.g. test for sphericity e.g.

I have been trying to download the climstats package: https://r-forge.r-project.org/R/?group_id=861 but it doesn't seem to run on R 3.0.2 or 3.0.1 and the zipfile is empty. Does anyone know the status of this package or where I can download it. Thanks ****************** Jenny Williams Spatial Information Scientist, GIS Unit Herbarium, Library, Art & Archives Directorate Royal Botanic

In the name of Allah. hello, how are you? I sent a mail for you,yesterday but I didn't recieve to my aim. I need to some data frames in version 1.7.0 such as "florida","Barley","rainforest" and some others. I don't know these data frames are in which library. I typed "data(package = .packages(all.available = TRUE))" that was in "data()"

On Don, 2015-03-26 at 17:01 +0200, Andreas Kasenides wrote: > On 26/03/15 13:05, Bernd Petrovitsch wrote: > > On Mon, 2015-03-23 at 16:08 +0200, Andreas Kasenides wrote: > >> I am usually emotionally (at least) against of open-source projects > >> loosing their independence to large corporations. Possibly due to bad > > OX-AG is a "large corporation"?

On 4/1/15, Reindl Harald <h.reindl at thelounge.net> wrote: > > > Am 01.04.2015 um 14:33 schrieb Bernd Petrovitsch: >> On Mit, 2015-04-01 at 13:07 +0200, Reindl Harald wrote: >>> Am 01.04.2015 um 13:04 schrieb Bernd Petrovitsch: >>>> IMHO the larger the corporation is, the less are the chances for >>>> *long-term* benefits of the OSS/free

On Mit, 2015-04-01 at 13:07 +0200, Reindl Harald wrote: > Am 01.04.2015 um 13:04 schrieb Bernd Petrovitsch: > > IMHO the larger the corporation is, the less are the chances for > > *long-term* benefits of the OSS/free software (mainly because: usually > > commercial success is driven and defined from marketing to sales[1] sown > > to the techies which are forced into

Am 01.04.2015 um 13:04 schrieb Bernd Petrovitsch: > IMHO the larger the corporation is, the less are the chances for > *long-term* benefits of the OSS/free software (mainly because: usually > commercial success is driven and defined from marketing to sales[1] sown > to the techies which are forced into "features" and "delivery dates" to > achieve some

Am 02.04.2015 um 14:30 schrieb Edwardo Garcia: > On 4/1/15, Reindl Harald <h.reindl at thelounge.net> wrote: >> Am 01.04.2015 um 14:33 schrieb Bernd Petrovitsch: >>> On Mit, 2015-04-01 at 13:07 +0200, Reindl Harald wrote: >>>> Am 01.04.2015 um 13:04 schrieb Bernd Petrovitsch: >>>>> IMHO the larger the corporation is, the less are the chances for

Good day all I've tried my iax conf and I'm struggling.So I want to know If someone else got this working and if they can pleas send my their configs I have to asterisk server,in different tows,both offices connected wit a direct line so both servers are on the same network running SIP.Each town got different extension register to each sever.Town A=100+ town B=200+ How do I get town A

Am 01.04.2015 um 14:33 schrieb Bernd Petrovitsch: > On Mit, 2015-04-01 at 13:07 +0200, Reindl Harald wrote: >> Am 01.04.2015 um 13:04 schrieb Bernd Petrovitsch: >>> IMHO the larger the corporation is, the less are the chances for >>> *long-term* benefits of the OSS/free software (mainly because: usually >>> commercial success is driven and defined from marketing

Members of this mailing list may be interested in the following new book: Beginner's Guide to GLM and GLMM with R. - A frequentist and Bayesian perspective for ecologists - Zuur AF, Hilbe JM and Ieno EN This book is only available from: http://www.highstat.com/BGGLM.htm This book presents Generalized Linear Models (GLM) and Generalized Linear Mixed Models (GLMM) based on both

I am using the R statistical package in a pretty straightforward manner, just interested in getting summary statistics and reliable estimates of means, variances, confidence intervals, p-values using standard tests, etc. I've been using the generalized estimating equation package because I often deal with repeatedly sampled pairs of data from the same source, and my reading (and my

Dear All, I am analysing a dataset on levels of herbivory in seedlings in an experimental setup in a rainforest. I have seven classes/categories of seedling damage/herbivory that I want to analyse, modelling each separately. There are twenty maternal trees, with eight groups of seedlings around each. Each tree has a TreeID, which I use as the random effect (blocking factor). There are two

I have a Person model. Person has_many lab_urls. The LabUrl model has a title and a url, which are both required. Now, I want to update a LabUrl object and stick some invalid data in there. And I want the person that has that invalid LabUrl to now be invalid, too. That doesn''t seem like too much to ask for. How can I do that? Right now, this is happening: >> me = Person.find(1)

Hi all, I would like to ask whether anyone knows if the censorReg in S-plus regress the mean survival model or the hazard and if it uses the maximum likelihood in order to estimate the values? In addition, is there anyone knowing why censorReg does not exist in R and what's the difference between censorReg and survreg (besides the truncation)? Cheers,Skevi [[alternative HTML version