Hi! We have performed an experiment to see if semi-wild pigs have any food preferences (in what type of nutrient supplement we add to the food). Different foods were added in their home range at each their place. After each trial we counted the number of food pellets that were eaten.

So...at first I thought this would be easy, because we just want to see if any of these foods are significantly different from the others with a straightforward ANOVA. However, then I read about count data so maybe I need Poisson distribution? Also, I have the total number of pellets so I could use percentage eaten instead of count data if that helps. And also, I don't really use the extra information I get from randomizing the position of the food (i.e. when moving the food type around for each trial) and that each individual does this 5 times. Possibly a mixed/random-effects model could include this no?

Any tips on what I should do? I'm using R.

So...at first I thought this would be easy, because we just want to see if any of these foods are significantly different from the others with a straightforward ANOVA. However, then I read about count data so maybe I need Poisson distribution? Also, I have the total number of pellets so I could use percentage eaten instead of count data if that helps. And also, I don't really use the extra information I get from randomizing the position of the food (i.e. when moving the food type around for each trial) and that each individual does this 5 times. Possibly a mixed/random-effects model could include this no?

Any tips on what I should do? I'm using R.

**Any help would be very much appreciated!!**
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