Hello, I think I am beginning to understand what is involved in the so-called "Type-I, II, ..." ANOVAS (thanks to all the replies I got for yesterday's post). I have a question that will help me (and others?) understand it better (or remove a misunderstanding): I know that ANOVA is really a special case of regression where the predictor variable is categorical. I know that there can be various types of regression models commonly called "stepwise, add, remove...", where one controls which predictors are added to the regression model and in what order. Is this what the various "Types" of ANOVA correspond to? I mean that I think of my ANOVA as a regression model (a General Linear Model) and the various ways of entering predictors as the various ANOVA "Types". Hope that makes sense...
Ravi Kulkarni -- View this message in context: http://n4.nabble.com/ANOVA-Types-and-Regression-models-the-same-tp1574654p1574654.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list 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.
