Hi, I have an experiment with 2 independant factors which I have been trying to analyse in R. The problem is that there are several data points recorded on the same animal. However, no combination of treatments is repeated on the same animal. All possible combinations of treatments are done in a random order with as many points as possible being done on 1 animal before moving onto the next.
The suggested way to remove pseudoreplication is to average the points from the same animal. However, as my measures on the same animal are of different treatment combinations so this makes no sense. It is also suggested that as I have random and fixed effects I should use a mixed effects model. However, given that my independant variables are factorial I am not sure how to incorporate this. I would be very grateful for any advice on methods of getting round this problem or whether I have sufficiently accounted from my none independant measures experimentally. Many thanks, Natalie -- View this message in context: http://www.nabble.com/2-way-ANOVA-with-possible-pseudoreplication-tp23295845p23295845.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.