Thank you Mitchell, I will try that. So I presume that the initial paper where they showed the estimates AND the intercept from a model averaging procedure may have been done using a different method?
Would it still be prudent to use a global model and then perhaps show the top so many, perhaps those with a delta<2 and then show their weights? Would it also be okay to just do a model average and then perhaps show the weights of each covariate and factor within these models to show their relative importance? I think the way the paper presented the results of extremely similar research, using only models using A+B+C+(1|D) etc and then model average, and able to come up with an Intercept and then much smaller comparable estimates made me think that this was probably the correct way to present the results and that getting these values must be something that I just didn't know how to code. They were even able to compare the Estimate differences among the variables whereas when I used -1 to remove the intercept the distance between the variables differed (although within stayed the same). Thank you again for your kind reply. Rachel -- View this message in context: http://r.789695.n4.nabble.com/Urgent-I-really-need-some-help-lme4-model-avg-Estimates-tp4511178p4512504.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.