Hi,

First post, thanks for this list.  I've just spent the last few days learning how to use ggwr in spgwr.  I fit a glm with family=binomial(link="logit"), and have discovered how to export my SpatialPointsDataFrame as a text file so I can work with it in other packages I'm more familiar with (not ready to tackle the full R learning curve yet).  I have a few basic questions first, for a logistic regression I understand pearson and deviance residuals, but what would the residual types of response and working be?  I specified response thinking it would be binary response(0 or 1) - probability of 1, but it returned values that indicate this isn't the case.  Also, in the spgwr documentation it states that ggwr returns a SpatialPointsDataFrame of class "gwr" and that its "data" slot can (will?) have the following: fit.points, weights, GWR coefficient estimates, R-sqaured, and coefficient standard errors.  So, far the output I get from exporting mymodel to a txt using write.table or viewed on the screen by simply mymodel$SDF only includes the following: row ID, intercept value, coefficient estimates for predictors, dispersion (always 1 in my case), working_resids, and x and y coordinates.  Is there some 'switch' internal to ggwr function or something else to specify to get such things as SE of coefficients and (more importantly to me) a residual that truly is reponse(0 or 1)-prediction(0 to 1)?  Thanks. -Seth Myers

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