tag:blogger.com,1999:blog-6710487119650146215.post5187844404717526239..comments2017-05-04T21:56:30.004-07:00Comments on R Tutorial Series: R Tutorial Series: Two-Way ANOVA with Pairwise ComparisonsJohnhttp://www.blogger.com/profile/05331039307550313006noreply@blogger.comBlogger3125tag:blogger.com,1999:blog-6710487119650146215.post-53817922760353866602013-02-18T08:36:35.268-07:002013-02-18T08:36:35.268-07:00Thanks for the tutorial. Could you tell how you wo...Thanks for the tutorial. Could you tell how you would do a complete pairwise comparison of all conditions. I mean not only within one factor. Anonymousnoreply@blogger.comtag:blogger.com,1999:blog-6710487119650146215.post-58206289522909068232011-02-15T19:15:21.672-07:002011-02-15T19:15:21.672-07:00Thanks, Bill. Yes, I have a tutorial that covers e...Thanks, Bill. Yes, I have a tutorial that covers exactly the situation that you described. Use the Two-Way ANOVA with Interactions link from the Topics menu on the right-hand side of this blog.John M. Quickhttp://www.blogger.com/profile/05331039307550313006noreply@blogger.comtag:blogger.com,1999:blog-6710487119650146215.post-71972514204175461222011-02-15T17:59:41.677-07:002011-02-15T17:59:41.677-07:00Thanks for this tutorial! Do you have any suggest...Thanks for this tutorial! Do you have any suggestions for the best way to handle pairwise comparisons when you have a significant interaction? If you had a significant interaction in the example above, is there some way to get R to produce simple main effects of Treatment at each level of Age? Would you need to set a family-wise error rate because you'd be conducting 3 tests in that case? Thanks again!Bill Altermatthttp://www.blogger.com/profile/11095387651591785371noreply@blogger.com