| plot.wbaconlm {wbacon} | R Documentation |
Plot Diagnostics for an Object of Class wbaconlm
Description
Four plots (selectable by which) are available for an object of
class wbaconlm (see wBACON_reg): A plot
of residuals against fitted values, a scale-location plot of
\sqrt{| residuals |} against fitted values,
a Normal Q-Q plot, and a plot of the standardized residuals versus the
robust Mahalanobis distances.
Usage
## S3 method for class 'wbaconlm'
plot(x, which = c(1, 2, 3, 4), hex = FALSE,
caption = c("Residuals vs Fitted", "Normal Q-Q", "Scale-Location",
"Standardized Residuals vs Robust Mahalanobis Distance"),
panel = if (add.smooth) function(x, y, ...)
panel.smooth(x, y, iter = iter.smooth, ...) else points,
sub.caption = NULL, main = "",
ask = prod(par("mfcol")) < length(which) && dev.interactive(),
...,
id.n = 3, labels.id = names(residuals(x)), cex.id = 0.75,
qqline = TRUE,
add.smooth = getOption("add.smooth"), iter.smooth = 3,
label.pos = c(4, 2), cex.caption = 1, cex.oma.main = 1.25)
Arguments
x |
object of class |
which |
if a subset of the plots is required, specify a subset of
the numbers |
hex |
toogle a hexagonally binned plot, |
caption |
captions to appear above the plots;
|
panel |
panel function. The useful alternative to
|
sub.caption |
common title |
main |
title to each plot |
ask |
|
... |
other parameters to be passed through to plotting functions. |
id.n |
number of points to be labelled in each plot, starting
with the most extreme, |
labels.id |
vector of labels |
cex.id |
magnification of point labels, |
qqline |
|
add.smooth |
|
iter.smooth |
the number of robustness iterations |
label.pos |
positioning of labels |
cex.caption |
controls the size of |
cex.oma.main |
controls the size of the |
Details
The plots for which %in% 1:3 are identical with the
plot method for linear models (see plot.lm).
There you can find details on the implementation and references.
The standardized residuals vs. robust Mahalanobis distance plot
(which = 4) has been proposed by Rousseeuw and van Zomeren (1990).
Value
[no return value]
References
Rousseeuw, P.J. and B.C. van Zomeren (1990). Unmasking Multivariate Outliers and Leverage Points, Journal of the American Statistical Association 411, 633–639. doi:10.2307/2289995