Joined: Oct. 2006
|Quote (George @ Mar. 11 2011,07:15)|
|Another thought: counts data are often Poisson distributed and not suitable for t-tests / ANOVA. However, a simple transformation should work the trick. IIRC, a square root transformation is often best for counts data.|
Or a log-transformation. Or run a glm with a log-link and family=poisson option [R code: glm(counts~1,family=poisson,data=teh.sample] and test whether the intercept is significantly different from what's expected: |intercept - exp(mu_0)|/se(intercept)~N(0,1).
After much reflection I finally realized that the best way to describe the cause of the universe is: the great I AM.