bestVars: Computes the number of _best_ X-variables

In yaImpute: Nearest Neighbor Observation Imputation and Evaluation Tools

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

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 [e-mail]

See Also

varSelection

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)

bestVars(vsel)

yaImpute documentation built on Sept. 21, 2024, 5:06 p.m.