These are generally very similar, for obvious reasons. But in the analysis I have just done:
> pvals.fnc(Vcso.lmerC2trimmed, nsim=10000)$fixed Estimate MCMCmean HPD95lower HPD95upper pMCMC Pr(>|t|) (Intercept) 6.5878 6.5870 6.5126 6.6591 0.0001 0.0000 cTrial -0.0002 -0.0002 -0.0006 0.0002 0.4088 0.3996 lexword -0.0977 -0.0968 -0.1228 -0.0698 0.0001 0.0000 conditionpure 0.0892 0.0896 0.0022 0.1781 0.0482 0.1744 lexword:conditionpure -0.0563 -0.0569 -0.0853 -0.0287 0.0002 0.0001 there's a large discrepancy for the conditionpure row. I have not been able to find examples of, or discussions of, how to respond to such discrepancies; so any help would be much appreciated. Max Coltheart > _____________________________________ > Professor Max Coltheart AM DSc FASSA FAA FBA > Emeritus Professor of Cognitive Science, Macquarie University > Honorary Professor of Psychology, University of Queensland [[alternative HTML version deleted]] ______________________________________________ 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.