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Plotting methods

Source: R/autoplot.R
autoplot.Nop.Rd

  • autoplot.Nop() plots the objective function

  • autoplot.Nop_results() plots boxplots of optimization results

  • autoplot.Nop_optima() plots a bar chart of the found optima

  • autoplot.Nop_deviation() plots deviations per dimension from a reference

Usage

# S3 method for class 'Nop'
autoplot(object, xlim = NULL, xlim2 = NULL, ...)

# S3 method for class 'Nop_optima'
autoplot(object, ...)

# S3 method for class 'Nop_deviation'
autoplot(object, jitter = TRUE, ...)

# S3 method for class 'Nop_results'
autoplot(
  object,
  which_element = "seconds",
  group_by = NULL,
  relative = FALSE,
  ...
)

Arguments

object

Depends on the method:

  • for autoplot.Nop(), a Nop object

  • for autoplot.Nop_results(), the value Nop$results

  • for autoplot.Nop_optima(), the value Nop$optima

  • for autoplot.Nop_deviation(), the value Nop$deviation

xlim, xlim2

[numeric(2)]
Ranges for the first and second parameter to plot.

If NULL, they are derived from the specified initial values in object.

...

Other arguments passed to specific methods.

jitter

[logical(1)]
Apply jitter to the points?

which_element

[character(1)\]\cr A column name of object` to plot.

group_by

[`character(1)]
Selects how the plot is grouped. Either:

  • NULL to not group,

  • "optimization" to group by optimization label,

  • `"optimizer"“ to group by optimizer label.

relative

[`logical(1)]
Plot values relative to the overall median?

Value

A ggplot object.