Hello thanks for the reply,

I collected data during 2 treatments of food distribution. One treatment where food was clumped in 1 location and one treatment where food was dispersed over multiple locations. I then collected data on the frequency of behavior between individuals. So lets say animal A and animal B interacted 30 times during the clumped food treatment and animal A and animal B interacted 100 times during the dispersed food treatment. I then corrected the frequencies by the number of times each individual was seen interacting overall during that food treatment to get an interaction rate. So, lets say during the clumped treatment animals A and B had an interaction rate of 0.3 and during the dispersed treatment they had an interaction rate of 1.

I then have matrices containing all the interaction rates between all possible pairs of animals. There were 29 animals in the study so my matrices are 29x29 and each cell contains a number for the interaction rate between that pair of individuals.

I need to compare the interaction rate matrix from the clumped food treatment to the interaction matrix of the dispersed food treatment to determine if there was a significant change between interaction rates due to the dispersion of food. Essentially, I need to determine if the treatment of food significantly changed the behaviors. So is the difference between an interaction rate of 0.3 and 1 significantly different?

I ran Mantel tests between the matrices but this only tells me if the interaction matrices are still

*correlated* it does not tell me if there was a

*change* in the behaviors.

Hopefully this is more clear, let me know if you need any other details. Any help is appreciated!