Raevmo
Posts: 235 Joined: Oct. 2006

Quote (George @ Mar. 11 2011,07:15)  Another thought: counts data are often Poisson distributed and not suitable for ttests / ANOVA. However, a simple transformation should work the trick. IIRC, a square root transformation is often best for counts data. 
Or a logtransformation. Or run a glm with a loglink 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.
GilDodgen
