VarComp in R
How do I do a Variance Components Analysis? Example Problem Given: A gage study is run with three randomly selected OPERATORS, two randomly selected FIXTURES and five randomly selected PARTS. All possible combinations are studied (full factorial or fully crossed experiment). The response is some measurement take for each of the 30 combinations. How do I use R to find an estimate for the contribution each factor makes to the overall measurement variation? In other words how do I do a Variance Components analysis in R? The model is Expected(Var(Measurements)) = Var(due to OPERATORS) + Var(due to FIXTURES) + Var(due to PARTS)+Var(due to NOISE) -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !) To: r-help-request at stat.math.ethz.ch _._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._