I would like to analyse the following data:
- Number of observations: 430 trees
- 1 response variable: diameter growth of trees
- 2 categorical factors: tree species (9 levels) and treatment (2 levels)
I would like to analyze influence of species, treatment and interaction between species ~ treatment. If the response variable was normally distributed, I guess an ANOVA would be adequate. However, due to the exponential distribution, I am unsure about how to proceed further.
I made an ANOVA (
aov(dbh.growth ~ species * treat, data=df) that showed significant
Pr(>F) values for both factors + interaction (see analysis plots), but are the results usable?
What possibilities are there for factor analysis with exponentially distributed data?
Are there any transformations I might use the transform the data to a normal distribution?
Thanks for any help... I'm really stuck here. ;)