varSelect: Variable selection

In qtlmt: Tools for Mapping Multiple Complex Traits

Description

Select a specific number of variables via variable selection that are optimal for multivariate analysis.

Usage

varSelect(x, group, scope, nv, direction=c("backward","forward"))

Arguments

x	a data matrix/frame. Columns are variables to select from.
group	a grouping indicator of observations.
scope	which variables (i.e., columns of x) to select from.
nv	how many variables to be selected.
direction	forward selection or backward elimination.

Value

variables selected in the model.

See Also

varGroup and varStep

Examples

data(etrait)
g55<- varGroup(traits, mdat, zscope=55, method="best")
idx<- sample(1:nrow(traits), replace=FALSE)
varSelect(traits[idx,], group=mdat[,55], scope=1:ncol(traits[idx,]),
   nv=length(g55[[1]]))

Example output

R/qtlmt is loaded

[1]  3  5 14 15

qtlmt documentation built on May 2, 2019, 2:23 p.m.