bestVars: Computes the number of _best_ X-variables

Description Usage Arguments Value Author(s) See Also Examples

View source: R/varSelection.R

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)

yaImpute documentation built on May 31, 2017, 3:24 a.m.

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