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2009 Apr 30
0
Categorical variable in a custom nonlin function with gnm
...ariables, and doesn't estimate the parameters. It works if I put the dummy variables into a linear model using gnm, like so: (where LithologyB is a series of ones and zeros, representing the occurrence of Lithology B, etc.) > summary(gnm(response~LithologyB+LithologyC+LithologyD+LithologyE+LithologyF, family=binomial)) Linear predictor - using glm.fit Call: gnm(formula = response ~ LithologyB + LithologyC + LithologyD + LithologyE + LithologyF, family = binomial) Deviance Residuals: Min 1Q Median 3Q Max -17.676 -8.433 -1.181 7.825 23.415 Coefficients:...