lms
.
plot.lms(lms.obj, ask=F, id.n=3, ...)
lms
object.
TRUE
,
plot.lms
operates in interactive mode.
id.n
most extreme points. Set to
FALSE
if no points
are to be identified.
Default: 3.
Standardized LMS Residuals vs Fitted Values
id.n
most extreme
points, depending on the options chosen.
This function is a method for the generic function
for class lms.
It can be invoked by calling
for an object x of the appropriate class, or directly by calling
regardless of the class of the object.
When
ask=T
, rather than produce each plot sequentially,
plot.lms
displays a menu listing all the plots that can be produced.
If the menu is not desired but a pause between plots is still wanted
one must set
par(ask=T)
before invoking this command with argument
ask=F
.
The last plot - the Diagnostic plot -
summarizes the results obtained from
lmsreg
and
cov.mve
.
The plot is only produced if the option
mve=T
has been set
when calling
lmsreg
.
The diagnostic plot shows the standardized LMS residuals versus the
robust distances (based on MVE)
of the corresponding
x
.
This plot allows the user to distinguish between regular
observations, vertical outliers, good leverage points, and bad leverage points.
lms.obj <- lmsreg(stack.x, stack.loss) plot(lms.obj, ask=T) # interactive version oldpar <- par(ask=T) plot(lms.obj) plot(lms.obj, id.n=10) par(oldpar) # reset ask par