Hello all! I would like to start off by saying that I am still really new to the vast world of R so please excuse my very limited vocabulary in the program.
I have collected data from monkey videos and would like to setup some model(s) in R that can help with my hypotheses. I am having trouble figuring out which statistical tests/models to use for my two hypotheses. #1: Comparing the presence of an observer (a categorical variable consisting of either Approaching/Near, Near or On Top of Cage) to the presence of aggressive behavior (again categorical variables consisting of Aggression, Freeze/Hide Behavior, Escape Behavior, Aggressive Vocalizations and Fear Vocalizations each as separate binary categories in my spreadsheet) #2: Comparing the age of the monkey (continuous variable) to Freeze/Hide behavior, Aggressive Vocalizations and Fear Vocalizations (again binary categories/variables) The response variables were treated as binary variables with either the behaviors being present or not. I believe I need to use a contingency table with Poisson Errors for the first hypothesis but I'm not sure and I'm not really sure about the second hypothesis. Can anyone help me figure out what tests/models I need to use. I don't need to know the specific program codes, I just need to know which tests/models to use. Thanks in advanced! -- View this message in context: http://r.789695.n4.nabble.com/Basic-Model-Setup-Question-from-a-Beginner-tp4402196p4402196.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.
