The sfsmisc Package - NexTag Supports Open Source Initiatives

12 TA.plot
Arguments
lm.res
fit
res
labels
main
xlab
draw.smooth
show.call
show.2sigma
lo.iter
lo.cex
Result of lm(..), aov(..), glm(..) or a similar object.
fitted values; you probably want the default here.
residuals to use. Default: Weighted ("Pearson") residuals if weights have been
used for the model fit.
strings to use as plotting symbols for each point. Default(NULL): extract observations’
names or use its sequence number. Use, e.g., "*" to get simple *
symbols.
main title to plot. Default: sophisticated, resulting in something like "Tukey-
Anscombe Plot of : y ˜x" constructed from lm.res $ call.
x-axis label for plot.
logical; if TRUE, draw a lowess smoother (with automatic smoothing fraction).
logical; if TRUE, write the "call"ing syntax with which the fit was done.
logical; if TRUE, draw horizontal lines at ±2σ where σ is mad(resid).
positive integer, giving the number of lowess robustness iterations. The default
depends on the model and is 0 for non Gaussian glm’s.
character expansion ("cex") for lowess and other marginal texts.
par0line a list of arguments (with reasonable defaults) to be passed to abline(.) when
drawing the x-axis, i.e., the y = 0 line.
parSmooth, parSigma
each a list of arguments (with reasonable default) for drawing the smooth curve
(if draw.smooth is true), or the horizontal sigma boundaries (if show.2sigma
is true) respectively.
... further graphical parameters are passed to n.plot(.).
Side Effects
The above mentioned plot is produced on the current graphic device.
Author(s)
See Also
Martin Maechler, Seminar fuer Statistik, ETH Zurich, Switzerland; 〈maechler@stat.math.ethz.ch〉
plot.lm which also does a QQ normal plot and more.
Examples
data(stackloss)
TA.plot(lm(stack.loss ~ stack.x))
example(airquality)
summary(lmO