![]() ![]() But always read the docs for the summary method to make sure you are getting what you think you are getting. To get the t's and p's and all that for parameters, or the scaled covariance matrix. So you can do: > s = summary(glm(lot1 ~ log(u), data = clotting, family = Gamma)) The big win of R over GUI programs is generally that the output from functions is available. ![]() Residual deviance: 0.01673 on 7 degrees of freedom Null deviance: 3.51283 on 8 degrees of freedom (Dispersion parameter for Gamma family taken to be 0.002446059) Glm(formula = lot1 ~ log(u), family = Gamma, data = clotting) See summary, which will produce summaries for most classes of regression object.įor example, from help(glm): > clotting summary(glm(lot1 ~ log(u), data = clotting, family = Gamma)) ![]()
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