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2010 Nov 17
1
lme weights glht
...EARS.txt", na.strings="*", header=TRUE) > library(nlme) > modelF<-lme(asin(sqrt(PropMortality))~Diversity+Management+Species +Height+Year+Diversity*Year, data=Kaltenborn, random=~1|Plot/SubPlot, na.action=na.omit, weights=varPower(form=~Diversity), subset=Kaltenborn $ADDspecies!=1, method="REML") > anova(modelF, type="marginal") numDF denDF F-value p-value (Intercept) 1 162 7.12789 0.0084 Diversity 1 14 12.89284 0.0030 Management 2 30 5.52544 0.0091 Species 3 162 41.81003 <....