plot.varSel: Boxplot of mean Mahalanobis distances from varSelection()

In yaImpute: Nearest Neighbor Observation Imputation and Evaluation Tools

Description

Provides a descriptive plot of now the mean Mahalanobis distances change as variables are added or deleted using varSelection.

Usage

## S3 method for class 'varSel'
plot(x,main=NULL,nbest=NULL,arrows=TRUE,...)

Arguments

x	an object create by varSelection
main	becomes the plot title, if NULL one is generated
nbest	number of variables designated in the plot as the best; if null the number is computed by bestVars
arrows	if true, an arrow is added to the plot designating the best variables.
...	passed to boxplot functions

Author(s)

Nicholas L. Crookston [e-mail]

See Also

varSelection and yai

Examples

require(yaImpute)

data(iris)
set.seed(12345)

x <- iris[,1:2]  # Sepal.Length Sepal.Width 
y <- iris[,3:4]  # Petal.Length Petal.Width 

vsel <- varSelection(x=x,y=y,nboot=5,useParallel=FALSE)

plot(vsel)

yaImpute documentation built on July 1, 2020, 3 a.m.