Dear all, I am trying to run permutation tests for GLM using the glmperm package. When I created my model, I followed The R book and Mixed effects models and extensions in ecology with R. In both books, response variables were specified by using cbind(). That is, response variable is in a matrix. This approach is not a problem at all to run glm(). However, when I run glm.perm(), it seems that response variable with cbind() is not good. This is because glm.perm asks a vector of response variable, not a matrix. Does glm() generate a vector for a response variable using cbind()? If it does, is there any way to extract the vector? Alternatively, I would like to know if there are other options to run permutation tests for GLM with proportion data. Thank you for reading this message.
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