Hello everyone, I'm quite new to R and am trying to run a logistic model to look at how various measures of boldness in individual animals influences probability of capture, however I also want to include random effects and I'm not sure how to construct a model that incorporates both of these things.
Data was collected from 6 different groups of 6 individuals with 10 replicates for each group. Whether an individual was caught in a trial or not was called "Catchability" and the outcome is binomial (caught = 1, not caught = 0). "Catchability" is my response variable that I want to see if I can explain by the other variables. "Individual" and "Group" would be my random effects. I have already installed lme4 but not sure how to code for the model I need, can anyone offer any help please? The column headings in my data table are as follows. [1] "Trial" "Group" "Individual" "Mark" [5] "Catchability" "Mboldness1" "Mboldness2" "Nboldness1" [9] "Nboldness2" "Standardlength" This is the string of my data: str(data) 'data.frame': 36 obs. of 10 variables: $ Trial : int 1 2 3 4 5 6 7 8 9 10 ... $ Group : int 1 1 1 1 1 1 2 2 2 2 ... $ Individual : int 1 2 3 4 5 6 7 8 9 10 ... $ Mark : Factor w/ 8 levels " - O"," - P",..: 8 2 4 6 3 1 6 3 1 5 ... $ Catchability : int 1 1 1 1 0 1 1 1 1 1 ... $ Mboldness1 : int 7 10 0 11 15 5 15 4 15 1 ... $ Mboldness2 : int 1 270 600 1 10 203 10 230 1 580 ... $ Nboldness1 : int 0 0 0 0 0 0 1 0 2 0 ... $ Nboldness2 : int 270 110 50 50 90 70 130 90 260 220 ... $ Standardlength: num 40.5 37.4 38.6 41.1 39.1 40.5 50.2 60.3 53.9 55 ... Many thanks in advance, Laura ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
