[R] MuMIn package: plotting averaged model estimates with CI

Hiya, I'm fairly new to MuMIn (and plotting predicted values in R, for that matter) and I have quite a basic question: I want to plot model-averaged estimates with their 95% CI's for the supported interaction (Infection x ecs). I used the following data: > head(summ12b) ld sum12 Infection

[R] Fwd: binomial glm and sole effect of the treatment

Hiya, I'm using simple glm binomial models to test the effect of treatment (factor, 3 levels) on infection prevalence (infected/uninfected): ad3<-glm(Infection~ecs, family=binomial, data=eilb) but summary() function returns for each of the factor-level coefficients against the control treatment:

Re: [R] R does not subset

6 1 ad Infected -2.1938776 11 BY75833 Y20045 0 ad Infected -4.6574803 13 BX23067 Y20046 0 ad Infected -3.6574803 17 BX24240 Y20046 0 ad Infected 0.3425197 still not sure why the subset() function didn't work, though.

Re: [R] R does not subset

Hi Luis, thanks for the suggestion, but still nothing: > RECinf2<-subset(REC2, INFECTION==1) > head(RECinf2) [1] RINGNOyear ccFLEDGE rec2012 binageINFECTION all.rsLD <0 rows> (or 0-length row.names) cheers, Kasia Katarzyna Kulma PhD Student Department of Ecolo

[R] R does not subset

Hi everyone, I know there have been several requests regarding subsetting before, but none of them really helps with my problem: I'm trying to subset only infected individuals from the REC2 data.frame: > str(REC2) 'data.frame':362 obs. of 7 variables: $ RINGNO : Factor w/ 370 levels "BL1

[R] dredge solely offset models in MuMIn

a table with offset models only? Not sure if I define something incorrectly or maybe there's a different way to get around that? Will appreciate any suggestions cheers, Kasia Katarzyna Kulma PhD Student Department of Ecology and Genetics Institute of Ecology and Evolution/Animal Ecology