search for: fm13

...Each subplot was divided again into two subplots (fertilizer - yes or no). Then for eachfertilizer subplot, the area was divided into 7 seeding treatments (treatments). I have transformed my data to meet model assumptions and simplified my model using stepwise elimination. Here is my minimal model: fm13<- lme(sqrt(abovegroundbiomass.m.2)~amelioration+fertilizer+treatment,random=~1|block, method="ML",na.action = na.omit) Here is a summary output: summary(fm13)$tTable Value Std.Error DF t-value p-value (Intercept)...