Plot the (average) results from (repeated) K-fold
cross-validation on the y-axis against the
respective models on the x-axis.
Usage
## S3 method for class 'cv'
xyplot(x, data, select = NULL,
seFactor = NA, ...)
## S3 method for class 'cvSelect'
xyplot(x, data, subset = NULL,
select = NULL, seFactor = x$seFactor, ...)
## S3 method for class 'cvTuning'
xyplot(x, data, subset = NULL,
select = NULL, seFactor = x$seFactor, ...)
Arguments
x
an object inheriting from class
"cvSelect" that contains cross-validation results
(note that this includes objects of class
"cvTuning").
data
currently ignored.
subset
a character, integer or logical vector
indicating the subset of models for which to plot the
cross-validation results.
select
a character, integer or logical vector
indicating the columns of cross-validation results to be
plotted.
seFactor
a numeric value giving the multiplication
factor of the standard error for displaying error bars.
Error bars can be suppressed by setting this to
NA.
...
additional arguments to be passed to the
"formula" method of
xyplot.
Details
For objects with multiple columns of repeated
cross-validation results, conditional plots are produced.
In most situations, the default behavior is to represent
the cross-validation results for each model by a vertical
line segment (i.e., to call the default method of
xyplot with type =
"h"). However, the behavior is different for objects of
class "cvTuning" with only one numeric tuning
parameter. In that situation, the cross-validation
results are plotted against the values of the tuning
parameter as a connected line (i.e., by using type
= "b").
The default behavior can of course be overridden by
supplying the type argument (a full list of
accepted values can be found in the help file of
panel.xyplot).
Value
An object of class "trellis" is returned
invisibly. The
update method can
be used to update components of the object and the
print method
(usually called by default) will plot it on an
appropriate plotting device.