plot.smplx: Draws a two dimentional plot of the vertexes in a simplex

In labsimplex: Simplex Optimization Algorithms for Laboratory and Manufacturing Processes

Description

The function generates a 2D plot of the vertexes in a simplex optimization when simplex dimensionality is at least 2. When dimensionality is higher than 2, the plot produced is a projection of the selected variables.

Usage

## S3 method for class 'smplx'
plot(x, sel.dim = NULL, all.ver = TRUE, all.lin = TRUE,
  expand = TRUE, exp.fac = 1.5, ...)

Arguments

x	object of class smplx.
sel.dim	numeric or char vector for variables to be considered when simplex dimensionality is higher than 2. By default, the first two are chosen. If the vector is numeric, it must contain the ordinal numbers corresponding to the desired variables. If the vector is of class char, it must contain the names of such dimensions.
all.ver	logical default to TRUE. Should all vertexes be plotted? If FALSE, the function draws only the vertexes of the current simplex.
all.lin	logical default to TRUE. Should all lines be drawn? If FALSE, the function draws only the lines of the last simplex.
expand	logical default to TRUE. Should the plot scales be expanded?
exp.fac	expansion factor used when expand = TRUE.
...	other graphical parameters used in plot

Details

For 3D representations of simplexes with dimensionality higher than 2 you can use plotSimplex3D.

Value

2D plot of the simplex coordinates.

Author(s)

Cristhian Paredes, [e-mail]

Jesús Ágreda, [e-mail]

See Also

plotSimplex3D

Examples

  plot(x = labsimplex(n = 2, centroid = c(7, 340), stepsize = c(1.2, 15)))

  ## Several options are posible when visualizing higher order simplexes
  plot(x = labsimplex(n = 3))
  plot(x = labsimplex(n = 3), sel.dim = c(2, 3))

  ## Simplex movements can be visualized after some experiments has been
  ## performed
  simplex <- exampleOptimization(surface = exampleSurfaceR2,
                                 centroid = c(7, 340),
                                 stepsize = c(1.2, 15), experiments = 16)
  plot(x = simplex)

labsimplex documentation built on July 1, 2020, 9:08 p.m.