I am fairly new to log-linear modelling, so as opposed to trying to fit modells, I am still trying to figure out how it actually works - hence I am looking at the interpretation of parameters. Now it seems most people skip this part and go directly to measuring model fit, so I am finding very few references to actual parameters, and am of course clear on the fact that their choice is irelevant for the actual model fit.
But here is my question: loglin uses deviation contrasts, so the coefficients in each term add up to zero. Another option are indicator contrasts, where a reference category is chosen in each term and set to zero, while the others are relative to it. My question is if there is a log-linear command equivalent to loglin that uses this secong "dummy coding" style of constraints (I know e.g. spss genlog does this). I hope this is not to basic a question! And if anyone is up for answeing the wider question of why log-linear parameters are not something to be looked at - which might just be my impression of the literature - feel free to comment! Thanks for your help! Maja -- View this message in context: http://www.nabble.com/indicator-or-deviation-contrasts-in-log-linear-modelling-tp22090104p22090104.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.