I 'm very new to R. I was wondering if there was any way to predict an optimal experimental design from a table, just by running a GLM on it.
For instance, I would run a function on a 1000 observations table, specifying in input the variables of my model (the GLM), and the number of experiment I want to perform. And according to which variables are the most significant and the number of modalities of those variables, I would get a table of experiments with all the variables specified and the number of experiments specified in the function...
I hope I've maid myself clear enough ^^
I thank you very much for your response