lmplot

0th

Percentile

Four types of residual plots for linear models.

Four types of residual plots for linear models. The first three are redesigns of plots that stats:::plot.lm presents. The first two show the positive residuals in col[2] and the negative residuals in color col[1]. The third and fourth use color col[1]. The fourth is based on an S-Plus panel that R doesn't provide.

Keywords
dplot
Usage
lmplot(lm.object, ..., main=NULL,
       col=trellis.par.get("superpose.symbol")$col[1:2],
       ylim=NULL)
Arguments
lm.object
Linear model object. See lm for details.
col
Vector of color names. Only the first two are used. If not specified, then trellis.par.get("superpose.symbol")$col[1:2] is used.
main
standard main title for plots.
ylim
standard lattice argument. It is used as specified for the residVSfitted, diagQQ, and diagplot5new plots. For the scaleLocation plot, the ylim is modified to c(0, max(abs(y
...
Other arguments, currently ignored.
Details

The trellis plots from the four functions residVSfitted, scaleLocation, diagQQ, diagplot5new are displayed on the current device in a coordinated display.

Value

See Also

residVSfitted, scaleLocation, diagQQ, diagplot5new.

Aliases
  • lmplot
Examples
tmp <- data.frame(y=rnorm(100), x1=rnorm(100), x2=rnorm(100))
tmp.lm <- lm(y ~ x1 + x2, data=tmp)
lmplot(tmp.lm)
Documentation reproduced from package HH, version 3.1-25, License: GPL (>= 2)

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