[R] Missing interaction effect in binomial GLMM with lmer

2010-02-09 Thread Weber, Sam
Dear all, I was wondering if anyone could help solve a problem of a missing interaction effect!! I carried out a 2 x 2 factorial experiment to see if eggs from 2 different locations (Origin = 1 or 2) had different hatching success under 2 different incubation schedules (Treat = 1 or 2). Six e

[R] standardised effect sizes and confidence intervals for mixed-models

2009-11-13 Thread Weber, Sam
Hello everyone, I was wondering if anyone knows of an R package which will extract the standardised effect size (r) and 95% confidence intervals for a single continuous predictor in a mixed-effects model. For example, I have model<-lme(damage~car+depth+wet,random=~1|id,data=data) I need to fin

Re: [R] singular variance-covariance warning in lmer

2009-10-29 Thread Weber, Sam
rom: Ista Zahn [istaz...@gmail.com] Sent: 29 October 2009 14:35 To: Weber, Sam Cc: r-help@R-project.org Subject: Re: [R] singular variance-covariance warning in lmer Hi Sam, Just a stab in the dark here, but is your grouping variable really female? What does str(data.frame(mean.sst, female) loo

[R] singular variance-covariance warning in lmer

2009-10-29 Thread Weber, Sam
Dear R Users, I was hoping for some help with a recurrent error message in lmer. I am trying to model the effect of temperature on metabolic rate in animals (response = int.length) at different temperatures (mean.sst), with repeated measurements on the same individuals (random effect = female).

Re: [R] How to get slope estimates from a four parameter logistic with SSfpl?

2009-10-20 Thread Weber, Sam
Yes that worked perfectly. Many thanks. From: Peter Ehlers [ehl...@ucalgary.ca] Sent: 19 October 2009 19:17 To: Weber, Sam Cc: r-help@R-project.org Subject: Re: [R] How to get slope estimates from a four parameter logistic with SSfpl? Weber, Sam wrote

[R] How to get slope estimates from a four parameter logistic with SSfpl?

2009-10-19 Thread Weber, Sam
Hi, I was hoping to get some advice on how to derive estimates of slopes from four parameter logistic models fit with SSfpl. I fit the model using: model<-nls(temp~SSfpl(time,a,b,c,d)) summary(model) I am interested in the values of the lower and upper asymptotes (parameters a and b), but als