Hey!
I am looking at the finding out if there is a significant difference in the number of predation events by dogs, foxes, and crab for two different turtle species (G+L), across three locations (W,A,N) in R.
the question I am trying to answer is what are the main predators for each turtle species , whether it varies across location, and whether greens or loggers are predated more (My prediction is that species L are predated more because they lay shallower nests, and that location W Suffers the most predation, and that foxes are the most prominent)
Im struggling to find what statistical test to use, and how to set up the data. Do I do individual tests for each and compare those results, or is there one statistical that can do all?
many thanks!
You probably need the ANOVA test (ANalysis Of VAriance) to check if there is a difference between your samples. And if there is, use post-hoc tests such as Bonferroni or Tukey's to check which samples are different. These tests are implemented in the vegan package.
You can go for ANOVA, DMRT, box plots, correlation, regression, PCA etc. in Rstudio.
To add to Steffen's answer (which is all fine of course): make sure to test the residuals for normal distribution, otherwise the assumptions of ANOVA are violated. Especially if you do not have many observations this could be the case. An alternative is a Kruskal-Wallis test (function kruskal.test()). Or you do some permutation test.
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