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Jun 27, 2011 at 2:49 vote accept Matt
Jun 27, 2011 at 2:31 comment added Matt Here's the error I got: Error in if (grep("I(", vars[i], fixed = T)) { : argument is of length zero. Please let me know if you want me to provide you with any more information regarding my data and its structure.
Jun 26, 2011 at 14:53 comment added Mike Lawrence ezPredict seems to work fine for me when I use it with models including 2-level variables that have been converted to +.5/-.5. What error did you encounter? By the way, if you don't want to go to the hassle of converting your variables, you can tell R to use "sum contrast" coding instead of the default "treatment contrast" coding. This is done via options(contrasts=c('contr.sum','contr.poly')). To revert to the default: options(contrasts=c('contr.treatment','contr.poly'))
Jun 26, 2011 at 14:45 answer added Mike Lawrence timeline score: 2
Jun 26, 2011 at 1:03 comment added Matt @Mike Lawrence I tried using your ezPredict to see if it could help me understand what's going on, but it wouldn't work on my lmer object -I think because my dichotomous predictor variables are not coded as factors. You seem to have a pretty good handle on these LMMs. Can you explain to me -or point me somewhere that can- why the intercept in my RT model is not the same as my observed grand mean?
Jun 25, 2011 at 13:08 history edited Matt CC BY-SA 3.0
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Jun 25, 2011 at 12:38 comment added Matt I'm just looking at the fixed effect coefficients. Is that the wrong way to get my model predictions?
Jun 25, 2011 at 6:04 comment added Mike Lawrence How are you obtaining the predictions from the models? Are you just looking at the fixed effects coefficients, or are you actually computing predictions for each cell of the design (ex. via ezPredict)?
Jun 24, 2011 at 18:25 history tweeted twitter.com/#!/StackStats/status/84326168882454529
Jun 24, 2011 at 16:32 history asked Matt CC BY-SA 3.0