plot_pareto {GSgalgoR} | R Documentation

## Plot pareto front from an galgo.Obj

### Description

Plot pareto front from an galgo.Obj

### Usage

    plot_pareto(output)

### Arguments

`output` | An object of class `galgo.Obj`

### Value

This function returns a scatterplot showing the solutions found by Galgo accross all generations in the solution space, where the Silhouette Fitness is in the x-axis and the survival fitness in the y-axis. A line is drawn over all non-dominated solutions showing the estimated Pareto front

### Examples

    # load example dataset
    library(breastCancerTRANSBIG)
    data(transbig)
    Train <- transbig
    rm(transbig)

    expression <- Biobase::exprs(Train)
    clinical <- Biobase::pData(Train)
    OS <- survival::Surv(time = clinical$t.rfs, event = clinical$e.rfs)

    # We will use a reduced dataset for the example
    expression <- expression[sample(1:nrow(expression), 100), ]

    # Now we scale the expression matrix
    expression <- t(scale(t(expression)))

    # Run galgo
    output <- GSgalgoR::galgo(generations = 5, population = 15,
    prob_matrix = expression, OS = OS)
    plot_pareto(output)

[Package GSgalgoR version 1.4.0 Index]