Re: [R] lmer and scale parameter in glmm model

Hi Fränzi, mod.sum <- summary(model) mod.sum @ sigma Hank On Aug 18, 2008, at 9:34 AM, Fränzi Korner wrote: Hi Oliver you once asked this question at the R help list. Hi all, I try to fit a glmm model with binomial distribution and I would to verify that the scale parameter is close to

Re: [R] tilde on a spanish keyboard?

Sweet - works like a charm. Thanks! Hank On Aug 12, 2008, at 7:19 AM, Henrique Dallazuanna wrote: The try this: form <- as.formula('x\u007ey') lm(form) On 8/12/08, Martin Henry H. Stevens <[EMAIL PROTECTED]> wrote: Thanks Henrique. We need to use the tilde in formula statem

Re: [R] tilde on a spanish keyboard?

t;\u00D1") On 8/12/08, Martin Henry H. Stevens <[EMAIL PROTECTED]> wrote: I was trying to help someone who used a spanish keyboard on a PC running Windows. he discovered that he had no tilde key. Does anyone know of any simple work-arounds? Thanks, Hank Dr. Hank Stevens, Associa

[R] tilde on a spanish keyboard?

I was trying to help someone who used a spanish keyboard on a PC running Windows. he discovered that he had no tilde key. Does anyone know of any simple work-arounds? Thanks, Hank Dr. Hank Stevens, Associate Professor 338 Pearson Hall Botany Department Miami University Oxford, OH 45056 Offic

Re: [R] Repeated measures lme or anova

Hi John, 1. I do not know why you remove the intercept in the lme model, but keep it in the aov model. 2. The distributional assumptions are shot --- you can't run any sort of normal model with these data. You might consider some sort of binomial (metabolite detected vs. not detected). Hank

Re: [R] {spam?} Re: Error: cannot use PQL when using lmer

Hi hpdutra, I do not know what section of which Crawley book you are referring to, but I assume that Crawley's point is to use a binomial error distribution (logistic regression) rather than a normal model. It is generally thought that LaPlace methods are more accurate than PQL methods. H

Re: [R] glmmML vs. lmer - fitting overdispersed Poisson outcome.

Hi Sam, I don't understand how you can estimate a separate id variance other than the residual variance, with one observation per subject. I would think the proper model would be glm(y ~ 1, family='poisson) Cheers, Hank On Oct 15, 2007, at 12:05 PM, Sam Field wrote: > Group, > > I have count