mogavsToLinear: Transform a mogavs model into a linear model.

In mogavs: Multiobjective Genetic Algorithm for Variable Selection in Regression

Description

Takes in a mogavs model and a number of variables, and transforms that into linear model as in lm.

Usage

mogavsToLinear(bestModel, y_ind, data, ...)

Arguments

bestModel	A binary vector, representing the variables in one model for a given number of variables.
y_ind	Column number for the y values in data.
data	The used data set.
...	Additional arguments.

Value

lm	A linear model of class lm.

Author(s)

Tommi Pajala <[e-mail]>

See Also

getBestModel,getBestModelVars

Examples

data(sampleData)
mod<-mogavs(y~.,sampleData,maxGenerations=20)

#get the best model with 15 variables
bm<-getBestModel(mod,15,method=NULL)

#transform best model into a linear model
mogavsToLinear(bm,1,sampleData)

mogavs documentation built on May 2, 2019, 1 a.m.