My apologies for asking what can be seen as a very basic question but I am struggling to understand which plots should I use to help with the interpretation of my GLMM. My research is to understand which factors predict the occurrence of aggressiveness during breeding in pairs of animals. I did my model in R and some factors are significant others don't. Most of my data is binomial (1/0) including my response variable. Only the age difference between the members of the pair is numerical.
Which plots do you recommend?
I am thinking about doing some boxplots. Can boxplots be done with both a binomial response variable and a binomial explanatory variable? In the example I am posting Aggression is supposed to be binomial as well, but the graph spans from 1 to 2.
Using the following code:
boxplot(AggYN~Oestrus,
data=Data_Ape,
main="Male Aggression occurence vs Oestrus husbandry",
xlab="Oestrus Husbandry",
ylab="Male Aggression",
col="orange",
border="brown"
)
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