Hi, I would like to evaluate the frequency of the variables within the best selected model by AIC among a set of 12 competing models (I fit them with GLM) with a bootstrap procedure to get unbiased results. So I would ike to do the ranking of the 12-model-set 10'000 times separately and calculate the frequency of variables of the 10'000 best ranked models. I wrote a script doing the model ranking (with some difficulty) for the pre-defined 12-model-set, that works. My model results (one row per model) are stored in a dataframe called "mydataframe". How can I implement my script simply into a bootstrap and sum up the frequencies of variables of the 10'000 bootstraped results? I am not so good in R and would appreciate any hint. Regards Lukas °°° Lukas Indermaur, PhD student eawag / Swiss Federal Institute of Aquatic Science and Technology ECO - Department of Aquatic Ecology Überlandstrasse 133 CH-8600 Dübendorf Switzerland Phone: +41 (0) 71 220 38 25 Fax : +41 (0) 44 823 53 15 Email: [EMAIL PROTECTED] www.lukasindermaur.ch
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