forward (version 1.0.3)

plot.fwdlm: Forward Search in Linear Regression

Description

This function plots the results of a forward search analysis in linear regression models.

Usage

"plot"(x, which.plots = 1:10, squared = FALSE, scaled = TRUE,  ylim = NULL, xlim = NULL, th.Res = 2, th.Lev = 0.25, sig.Tst = 2.58,  labels.in.plot = TRUE, ...)

Arguments

x

a "fwdlm" object.

which.plots

select which plots to draw, by default all. Each graph is addressed by an integer:

1. leverages
2. maximum studentized residuals
3. minimum deletion residuals
4. coefficients
5. statistics
6. forward Cook's distances
7. modified forward Cook's distances
8. $S^2$ values
9. $R^2$ values

squared

logical, if TRUE plots squared residuals.

scaled

logical, if TRUE plots scaled coefficient estimates.

ylim

a two component vector for the min and max of the y axis.

xlim

a two component vector for the min and max of the x axis.

th.Res

numerical, a threshold for labelling the residuals.

th.Lev

numerical, a threshold for labelling the leverages.

sig.Tst

numerical, a value (on the scale of the t statistics) used to draw the confidence interval on the plot of the t statistics.

labels.in.plot

logical, if TRUE units are labelled in the plots when required.

...

further arguments passed to or from other methods.

References

Atkinson, A.C. and Riani, M. (2000), Robust Diagnostic Regression Analysis, First Edition. New York: Springer, Chapters 2-3.

See Also

fwdlm, fwdsco, fwdglm.

Examples

## Not run: data(forbes)
## Not run: plot(forbes)
## Not run: mod <- fwdlm(Log.Pressure ~ Boiling.point, data=forbes)
## Not run: summary(mod)
## Not run: plot(mod)