aitoa.plot.progress.stat.on.instance: Plot the Progress of a Set of Algorithms on One Instance
In thomasWeise/aitoaEvaluate: An R Package for Evaluating the aitoa Results

View source: R/plot_progress_stat_on_instance.R

Plot the progress of a set of algorithms on one instance.

aitoa.plot.progress.stat.on.instance(
  results.dir = ".",
  algorithms,
  instance,
  instance.name = instance,
  time.column = c("t", "fes"),
  max.time = NA_integer_,
  algorithm.colors = aitoa.distinct.colors(length(algorithms)),
  quantiles = .stat.plot.default.quantiles,
  center.stat = median,
  center.lty = .default.lty,
  center.lwd = .thick.lwd,
  quantile.transparency = 0.8,
  make.stairs.quantiles = FALSE,
  make.stairs.center = FALSE,
  instance.limit = NA_integer_,
  instance.limit.name = NA_character_,
  instance.limit.color = .instance.limit.color,
  instance.limit.lty = .instance.limit.lty,
  instance.limit.lwd = .instance.limit.lwd,
  legend.cex = .legend.cex,
  legend.bg = .legend.bg,
  time.axis.text = if (time.column[[1L]] == "t") .time.ms.text else .time.fes.text,
  quality.axis.text = .quality.text,
  make.time.unique = (time.column[[1L]] == "t"),
  f.must.be.improving = TRUE,
  use.f.range.from.raw.data = FALSE,
  mgp = .default.mgp,
  tck = .default.tck,
  cex = .default.cex,
  mar = .default.mar.without.labels,
  ...
)

`results.dir`	the directory where the results can be loaded from
`algorithms`	a list of algorithsm, the `names` of which (if provided) are used for the legend
`instance`	the instance id to be plotted
`instance.name`	the name of the instance to show in the legend
`time.column`	the time column
`max.time`	an optional maximal time limit
`algorithm.colors`	a character vector of the same length as `algorithms` providing the colors to be used for the algorithms
`quantiles`	the quantiles to be plotted in a shaded fashion: all values must be >= 0 and < 0.5 and are mirrored. I.e., if you specify 0.2, then the region between the 0.2 and 0.8 quantile will be plotted semi-transparent.
`center.stat`	the central statistic to plot, usually the median or mean
`center.lty`	the line type to be used for the median lines
`center.lwd`	the line width to be used for median lines
`quantile.transparency`	the transparency to be applied to each quantile polygon
`make.stairs.quantiles`	should the quantiles be shown as stairs (`TRUE`) or linear interpolation (`FALSE`)
`make.stairs.center`	should the center statistic be shown as stairs (`TRUE`) or linear interpolation (`FALSE`)
`instance.limit`	an opional quality limit to be plotted as horizontal line
`instance.limit.name`	the optional name of the quality limit
`instance.limit.color`	the color for the instance limit line
`instance.limit.lty`	the line type for the instance limit line
`instance.limit.lwd`	the line width for the instance limit line
`legend.cex`	the character scaling for the legend
`legend.bg`	the background color for the legend
`time.axis.text`	the text to be used for labeling the time axis, `NA` for omit label
`quality.axis.text`	the text to be used for labeling the quality axis, `NA` for omit label
`make.time.unique`	should we make the time indices unique (except maybe for the first and last point)? This makes sense when we want to plot diagrams over a time axis, as we then have removed redundant points right away. If `make.time.unique==FALSE`, then there may be multiple improvements at the same time index due to the resolution of the computer clock (while each improvement will definitely have a unique FE).
`f.must.be.improving`	`true` if the logged objective values must be strictly improving? This is the default way logs are generated by aitoa. However, you can also create a log where every single sampled solution is logged, so then you must set `f.must.be.improving=FALSE` to load the data.
`use.f.range.from.raw.data`	should we use the real data to compute the range of the y-axis, or should the range depend on the computed statistics only (default)?
`mgp`	the mgp parameter to be passed to plot
`tck`	the tck parameter to be passed to plot
`cex`	the default character scaling
`mar`	the default margins
`...`	parameters to be passed to par