bestVars: Computes the number of best X-variables

Description

The number of best variables is estimated by finding an apparent inflection point in the relationship between the generalized root mean square distance (see grmsd and the number of X-variables.

Usage

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bestVars(obj,nbest=NULL)

Arguments

obj

an object create by varSelection

nbest

number of variables designated as the best; if null the number is estimated

Value

An character vector of variable names in decreasing order of importance.

Author(s)

Nicholas L. Crookston ncrookston.fs@gmail.com

See Also

varSelection

Examples

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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)

bestVars(vsel)

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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