multiRunPlot: Plot the results from multipe COBRA runs.
In SACOBRA: Self-Adjusting COBRA

Description Usage Arguments Details Value Author(s) See Also

Plot for each run one black curve 'error vs. iterations' and aggregate the mean curve (red) and the median curve (green) of all runs. 'error' is the distance between the ever-best feasible value and optim.

multiRunPlot(
  dfAll,
  optim = NULL,
  fName = "multiRun",
  main = "",
  xlim = NULL,
  ylim = c(1e-05, 10000),
  ylog = TRUE,
  xlog = FALSE,
  target = 0.05,
  plotPDF = FALSE,
  subPDF = NULL,
  legendWhere = "topright",
  absErr = FALSE
)

`dfAll`	the data frame of all runs, obtained with `multiCOBRA` or loaded from .Rdata file
`optim`	[NULL] the true optimum (or best known value) of the problem (only for diagnostics). If `optim==NULL`, we plot instead of errors the ever-best feasible values.
`fName`	["multiRun"] the name of the .Rdata file, printed as subtitle
`main`	[""] the name of the problem (e.g. "G01 problem"), printed as title
`xlim`	the x limits
`ylim`	the y limits
`ylog`	[TRUE] logarithmic y-axis
`xlog`	[FALSE] logarithmic x-axis
`target`	[0.05] a single run meets the target, if the final error is smaller than `target`
`plotPDF`	[FALSE] if TRUE, plot to 'fName'.pdf
`subPDF`	[NULL] optional subdirectory where .pdf should go
`legendWhere`	["topright"]
`absErr`	[FALSE] if TRUE, plot abs(error) instead of error.