Might have just solved my own problem team! I assumed that the issue here was the replicated samples, and so added a column and gave a number to each replicate.
R seemed to like this and was happy to run the test! A significant result tells me that the fixed effects model is the most preferable model to explain the variation seen in my data. Unless I am doing/assuming something wrong here that you can see then I might well have solved my own problem. Let me know if you have any thoughts :) Cheers -- View this message in context: http://r.789695.n4.nabble.com/Hausman-Test-trouble-plm-tp4709990p4709992.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
