Dear lme4-group members, I'm trying to make prediction plots for visualizing effects according to http://www.ats.ucla.edu/stat/r/dae/melogit.htm. I'm worried about strange prediction plots after adapting the example code to my glmer model. More precisely, I obtain differing lines for predictions and their quartiles. I wonder if something basic is wrong. Is there a solution to obtain CI for predictions? Maybe the simulate function of the lme4 package is right? Or do I have to apply bootstrap function? In any case, I wonder how this is to be accomplished. I attached my files so that you can take a look at them. Hopefully, you can help. Many thanks and best wishes, Andreas -----Urspr?ngliche Nachricht----- Von: Ben Bolker [mailto:bbolker at gmail.com] Gesendet: Dienstag, 2. September 2014 14:35 An: Meid, Andreas Cc: lme4-authors at lists.r-forge.r-project.org Betreff: Re: lme4: prediction for glmer model Can you please send this to r-sig-mixed-models at r-project.org ? (Be aware that your .RData files probably won't make it through to the list.) thanks Ben Bolker
On 14-09-02 06:06 AM, Meid, Andreas wrote:
Dear Ben, your recently helped me with another issue about my glmer model. This time I'm trying to make prediction plots for visualizing effects according to http://www.ats.ucla.edu/stat/r/dae/melogit.htm. I'm worried about strange prediction plots after adapting the example code to my glmer model. More precisely, I obtain differing lines for predictions and their quartiles. I wonder if something basic is wrong. Is there a solution to obtain CI for predictions? Maybe the simulate function of the lme4 package is right? Or do I have to apply bootstrap function? In any case, I wonder how this is to be accomplished. I attached my files so that you can take a look at them. Hopefully, you can help. Many thanks and best wishes, Andreas *Andreas Meid* Heidelberg University Hospital Dept. of Clinical Pharmacology & Pharmacoepidemiology Im Neuenheimer Feld 410 69120 Heidelberg Germany Phone: +49(0)6221 / 56-37113, Fax: +49(0)6221 / 56-4642 Homepage: http://www.klinikum.uni-heidelberg.de/clinpharm Expert system: Drug dosing in renal failurehttp://www.dosing.de <http://www.dosing.de>