Dear Netters

I am trying to run a linear mixed effects model on some data I have. My participants are nested within 27 organizations so I have to control for this group. I have  three dependent variables (sales, tips, and employee performance) when I attempt to calculate the null model for these three DVs I get the following error message below:

> Null.SALES<-lme(SALES~1,random=~1|GROUP,data=tccbtips)
Error in `rownames<-`(`*tmp*`, value = rownames(Fitted) <- origOrder) :
  attempt to set rownames on object with no dimensions
In addition: Warning message:
In Ops.factor(y[revOrder], Fitted) : - not meaningful for factors

> summary(Null.SALES)
Error in summary(Null.SALES) : object 'Null.SALES' not found

I also get this message:

 > Null.tips<-lme(TIPS~1,random=~1|GROUP,data=tccbtips.m)

Error in matrix(unlist(value), nrow = nrow(data), dimnames = list(row.names(data),  :
  negative extents to matrix

I have conducted a number of Google searches on this error message, but can't seem to find out why I am getting these errors. I have manually examined the data and everything looks okay. The only thing I can think of is that I have a lot of missing data. However, even with the missing data I still have a sample of over 400 so I am stuck. Any help would be greatly appreciated.

Best
John

-------------------------------------------------------
John W. Michel, Ph.D.
Assistant Professor of Management & IB
Sellinger School of Business & Management
Sellinger Hall 413
Loyola University Maryland
4501 North Charles Street
Baltimore, MD 21210
Office: (410) 617-5995
Email: jwmichel@loyola.edu<mailto:jwmichel@loyola.edu>




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