I understand where you are coming from, but the issue is that some exploration of the data through graphs and the like, showed that patterns could be seen. However with only 7 means it is extremely difficult to get any kind of statistical evidence and as some mean values are the same some of the tests that I wanted to use such as a Mann-Whitney would not even run so I had to resort to a one-sample Wilcoxon with a set mu value. (minimum p-value that was even possible was p=0.280).
I asked a couple of forums in December about the issues at hand and they suggested that I look into mixed-effect models so I read some chapters on them and got very excited, but at the time still thought of them as some test that could give me means. However it all clicked and I realise that they can be more useful as a tool to illustrate which factors and covariates best fit to the response variable. I understand the concepts of fitting an intercept and slope somewhat but the paperwork on it can be a little confusing, however the way they were used in the paper (of which I attached one of the tables) seemed a very straightforward method of teasing the intricate factors of habitat, age and other factors that could be affecting behaviour such as time feeding and foraging rate. Believe me, if i could have survived with Kruskal-Wallis then I would have had my thesis written up three months ago with a lot less stress. I am not looking for pretty as I don't even want it published, but I did hope to be able to give the time that I spent collecting data justice. I have come really far, thanks to some great people, but I do not have anyone near me who can help and my adviser is 3000 miles away too and is not a statistician either. All I would like to know is how could Maslo et al. have calculated estimates for all categories AND an intercept and is there a method to do this in R. I have spent months trying to find these answers and so I would greatly appreciate an answer to this question. Thank you again. -- View this message in context: http://r.789695.n4.nabble.com/Urgent-I-really-need-some-help-lme4-model-avg-Estimates-tp4511178p4511396.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.
