createAdditionalPlots: Function for plotting boundaries of the archive set.
In mogavs: Multiobjective Genetic Algorithm for Variable Selection in Regression

Description Usage Arguments Author(s) See Also Examples

A plotting function for plotting the set of all tried models, and highlighting either all models within epsilonBand MSE of the efficient frontier, or the kBest best models for each number of variables.

1	createAdditionalPlots(mogavs, epsilonBand = 0, kBest = 1, method = c("MSE", "kBest"))

`mogavs`	A model of class mogavs.
`epsilonBand`	The value of epsilonBand, ie. the mean square error inside which models are highlighted.
`kBest`	The number of models that will be highlighted for each number of variables.
`method`	Either `MSE` or `kBest` (case-insensitive). `MSE` plots the set of all tried models, with models inside the `epsilonBand` highlighted. `method="kBest"` plots the set of all tried models, with the `kBest` best models for each number of variables highlighted.

Tommi Pajala <tommi.pajala@aalto.fi>

mogavs

data(sampleData)
mod<-mogavs(y~.,data=sampleData,maxGenerations=20)
createAdditionalPlots(mod,epsilonBand=0,kBest=15,"kbest")
createAdditionalPlots(mod,epsilonBand=0.001,method="mse")