robust (version 0.3-4)

plot.glmfm: Comparison Plots for Generalized Linear Models

Description

Create a set plots useful for comparing the fitted generalized linear models in a glmfm object. The plot options are (2) Deviance Residuals vs. Fitted Values, (3) Response vs. Fitted Values, (4) Normal QQ Plot of Pearson Residuals, (5) QQ Plot of Deviance Residuals, (6) Standardized Deviance Residuals vs. Robust Distances, (7) Standardized Deviance Residuals vs. Index (Time), (8) Sqrt of abs(Deviance Residuals) vs. Fitted Values.

Usage

## S3 method for class 'glmfm':
plot(x, which.plots = "ask", ...)

Arguments

x

a glmfm object.

which.plots

either "ask", "all", or an integer vector specifying which plots to draw. If which.plots is an integer vector, use the plot numbers given in the description above (or in the "ask" menu).

...

additional arguments are passed to the ploting subfunctions which are listed in the see also section.

Value

• x is invislbly returned.

Side Effects

The selected plots are drawn on a graphics device.

References

Atkinson, A. C. (1985). Plots, Transformations and Regression. New York: Oxford University Press.

Details

This function is a wrapper for the plot functions listed in the see also section. For finer control you may wish to call these functions directly.

See Also

plot, fit.models, lmfmResVsFittedPlot, lmfmRespVsFittedPlot, lmfmResQQPlot, lmfmSRvsRDPlot. lmfmStdResPlot, lmfmSqrtResVsFittedPlot.