R-help:
I am trying to decide between using a multiple linear regression or a linear
mixed effects model for my data:
model1 <- lm (responsevariable ~ predictor1 + predictor2 + predictor3 +
predictor4, data= data)
model2 <- lme (responsevariable ~ predictor1 + predictor2 + predictor3 +
predictor4, random = ~1 | site, data= data)
anova (model1, model2)
but I keep getting the following error code:
Error in anova.lmlist (object, ...):
models were not all fitted to the same size of dataset
Any advice would be appreciated, thanks.
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