I'm looking to analyse some vigilance data from monkeys. The data at the moment comes from 5minute samples, but these are separated depending upon which activity is occuring. There's also data on different heights, individuals nearby etc. So data might look like this:
So this means that I'm hoping to use each as a separate data points, even though they might come from the same sample. Therefore I assume there might be a problem with autocorrelation, as some data is obviously coming from the same time period. I understand that the Durbin-Watson test can test for autocorrelation, but I just wanted to check if it is ok to use with this kind of data, where say 3 data points might be within 5mins, but the next ones aren't until the next day?