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...e within each approach? m1 = glmmPQL(RICH ~ ZONE, family = poisson, data, random = ~ YEAR | SITE / QUADRAT) m2 = lmer(RICH ~ ZONE +(YEAR|SITE)+ (YEAR|QUADRAT), family = poisson, data) As a follow up - what would be the most appropriate model formula (using glmmPQL syntax) to specify both a nested facor and repeated observations? Specifically, I am dealing with experimental data with three factors. ZONE is a fixed effect. Three sites (SITE) are nested within each ZONE. Multiple quadrats within each SITE are measured across multiple years. I want to represent the nesting of SITE within ZONE an...

...t in both training and test data sets has new levels in the test set. This is true that there are new levels for some of the variables in the test set, although, the variables themselves are identical in both. My understanding from reading the documentation on predict.rpart is that if one of the facor-variables does have new levels in the test set, it is passed through the tree and is left at the deepest possible node. I tried to run predict.rpart directly but it says "function not found". Does this have to be installed separately? I have loaded the rpart library to run the training...

I have a small data set (see attachment valve.txt or valve.csv), in which there are a few facors: Type, ValveBody,Manufacturer and a few numeric sizes: FlangeSize, Port.Size, Pressure and Cost. I would like to find a statistics model that shows how Cost is related to these factors and numeric sizes. It seems to me that it is hard to find the relationship between Cost and a few factors using...