Produces a set of comparison diagnostic plots. The plot options are
Deviance Residuals vs. Predicted Values,
Response vs. Fitted Values,
Normal QQ Plot of Pearson Residuals,
Normal QQ Plot of Deviance Residuals,
Pearson Residuals vs. Mahalanobis Distance,
Sqrt Deviance Residuals vs. Predicted Values.
other parameters to be passed through to plotting functions.
x is invisibly returned.
The selected plots are drawn on a graphics device.
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# From ?glm: # A Gamma example, from McCullagh & Nelder (1989, pp. 300-2) clotting <- data.frame( u = c(5,10,15,20,30,40,60,80,100), lot1 = c(118,58,42,35,27,25,21,19,18), lot2 = c(69,35,26,21,18,16,13,12,12)) lot1 <- glm(lot1 ~ log(u), data = clotting, family = Gamma) lot2 <- glm(lot2 ~ log(u), data = clotting, family = Gamma) fm <- fit.models(lot1, lot2) plot(fm)
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