plot.spFSR: Ploting a spFSR object

In spFSR: Feature Selection and Ranking via Simultaneous Perturbation Stochastic Approximation

Ploting a spFSR object

Description

Plot for a spFSR object. It provides a scatterplot of scoring values vs. iteration. The error bar of scoring values at each iteration can be included. It also allows user to identify the iteration which yields the best scoring value. See spFeatureSelection for example.

Usage

## S3 method for class 'spFSR'
plot(x, errorBar = FALSE, annotateBest = FALSE, se = FALSE, ...)

Arguments

x	a spFSR object
errorBar	If TRUE, an error bar of +/- 1 standard deviation will be included around the mean error scoring value at each iteration. When it is TRUE, the ylim argument cannot be used. The default is FALSE.
annotateBest	If TRUE, the best result will be highlighted and annotated. The default is FALSE.
se	If TRUE, an error bar of \pm standard error will be included around the mean error scoring value at each iteration. When it is TRUE, the ylim argument cannot be used. The se does not produce any error bar if errorBar is set as FALSE. Note that if the standard error is used, the error bar has a narrower range. The default is FALSE.
...	Additional plot parameters that can be passed into the plot function.

Value

Plot error scoring values vs iterations of a spFSR object with an error bar (if included).

See Also

plotImportance and spFeatureSelection.

spFSR documentation built on March 31, 2023, 9:05 p.m.