I'm attempting to run an LME model with random intercepts for location and have received an error message. The model and error message are given below:> mixed.distance <- lme (fixed= log(min5inpnc) ~ i93centerline, random=~1|location, data = nosmokecomp)Error in y[revOrder] - Fitted : non-conformable arrays I believe that my dataset may have dimensions that are not working with the model, but I'm not sure how to diagnose the exact problem. Can someone provide assistance? Thank you, Christina [[alternative HTML version deleted]]
Christina Hemphill <CHEMPHIL <at> hsph.harvard.edu> writes:> > I'm attempting to run an LME model with random intercepts for location andhave received an error message.> The model and error message are given below: > > > mixed.distance <- lme (fixed= log(min5inpnc) ~ i93centerline,random=~1|location, data = nosmokecomp)> Error in y[revOrder] - Fitted : non-conformable arrays > > I believe that my dataset may have dimensions that are not > working with the model, but I'm not sure how to > diagnose the exact problem. Can someone provide assistance?Hard to answer without a reproducible example (it's only possible to answer questions without such examples when the errors are very common with very characteristic symptoms -- not the case here). At the very least we need summary() and/or str() of your data. sessionInfo() wouldn't hurt either. Do you have NAs or negative values in your response variable? In general, lme questions should go to the r-sig-mixed-models mailing list. Ben Bolker