plot.NHEMOtree: Plot Method for Class NHEMOtree

In NHEMOtree: Non-hierarchical evolutionary multi-objective tree learner to perform cost-sensitive classification

Description

Generates different plots for class NHEMOtree

Usage

## S3 method for class 'NHEMOtree'
plot(x, data, which = c("Pareto", "S_Metric", "VIMS", "Tree"), vim = 0, ...)

Arguments

x	An object of class NHEMOtree.
data	Data which was used in NHEMOtree.
which	Type of plot, "Pareto" for the final Pareto front, "S_Metric" for increase of the dominated hypervolume by generation, "VIMS" for variable improtance for each explanatory variable, "Tree" for the individual with the lowest misclassification rate.
vim	Variable improtance measure to be plottet for which="VIMS", vim=1 for 'simple absolute frequency', vim=2 for 'simple relative frequency', vim=3 for 'relative frequency', vim=4 for 'linear weigthed relative frequency', vim=5 for 'exponential weigthed relative frequency', vim=6 for 'permutation accuracy importance' (default: plots for all VIMs).
...	Arguments passed to or from other methods.

Author(s)

Swaantje Casjens

See Also

NHEMOtree

Examples

# Simulation of data and costs
  d         <- Sim_Data(Obs=200)
  CostMatrix<- Sim_Costs()

  res<- NHEMOtree(type="NHEMO", formula=Y2~., data=d, CostMatrix=CostMatrix, 
                  gens=5, popsize=5, crossover_prob=0.1, mutation_prob=0.1)
  plot(data=d, x=res, which="P")
  plot(data=d, x=res, which="S", col=3, type="l")
  plot(data=d, x=res, which="V", vim=5)
  plot(data=d, x=res, which="T")

NHEMOtree documentation built on May 2, 2019, 7:32 a.m.