I'm looking for a method to analyse behavior data that can be assigned to multiple categories as a proportion with all the categories adding to 1 and some explanatory variables and repeated measures on some individuals.
Data would look something like this AnimalID Behavior1 Behavior2 Behavior3 Covariate1 Covariate2 1 0.75 0.2 0.05 1 0 2 0.5 0.25 0.25 0 0 2 0.6 0.3 0.1 0 0 3 0.7 0.25 0.05 1 1 .... There is a fractional multinomial logit model (fmlogit) in Stata that is designed to do this analysis ala Papke, Leslie E. and Jeffrey M. Wooldridge. 1996. Econometric Methods for Fractional Response Variables with an Application to 401(k) Plan Participation Rates. Journal of Applied Econometrics 11(6):619-632. but I have not found anything in R. If anyone knows of something similar in R or perhaps a different approach I would be grateful to hear about it. Thank you Brian Battaile University of British Columbia US Geological Survey [[alternative HTML version deleted]] ______________________________________________ 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.