Basic R Model Setup Advice

[yearyea]

Hey guys, I wanna say right off the bat that I'm a beginner at using R.

I am having trouble figuring out which statistical tests/models to use for my two hypotheses. Do I use binary response variable models, proportional models.. etc.

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.

Can anyone help me figure out what tests/models in R that I need to use. I don't need to know the specific program codes, I just need to know which tests/models would best work with my data.

Thanks in advanced!

[trinker]

I use this as a guide for selecting tests in R. It was an early creation so it likely has some errors. I actually haven't looked at it in a while but it may be helpful to you.

Choosing a Stats Test with [R].doc

Once you decide upon a test to find out more about that test type ?test.name in your console. For example:

?anova

This gives you lots of info on setting up the model.

[yearyea]

Thank you so much!