The graphical output depends on the target function at hand.
- For 1D numeric functions the upper plot shows the true function (if known),
the model and the (infill) points. The lower plot shows the infill criterion.
- For 2D mixed target functions only one plot is displayed.
- For 2D numeric only target functions up to four plots are presented to the
viewer:
- levelplot of the true function landscape (with [infill] points),
- levelplot of the model landscape (with [infill] points),
- levelplot of the infill criterion
- levelplot of the standard error (only if learner supports standard error estimation).
- For bi-criteria target functions the upper plot shows the target space and the lower
plot displays the x-space.

renderExampleRunPlot(object, iter, densregion = TRUE, se.factor = 1,
single.prop.point.plots = FALSE, xlim = NULL, ylim = NULL,
point.size = 3, line.size = 1, trafo = NULL, colors = c("red",
"blue", "green"), ...)

## Arguments

object |
[`function` ]
`MBOExampleRun` or `MBOExampleRunMultiObj` object. |

iter |
[`integer` ]
Selected iteration of `object` to render plots for. |

densregion |
[`logical(1)` ]
Should the background be shaded? Default is `TRUE` .
Only used if learner supports computation of standard error. |

se.factor |
[`numeric(1)` ]
If the model provides local standard error estimation,
in addition to the mean response `yhat(x) +- se.factor * se(x)`
is plotted above and below.
Default is 1. |

single.prop.point.plots |
[`logical(1)` ]
Parameter for MOI-MBO Multi-point proposal: Should every proposed point
be displayed in a single plot - or one plot per Iteration? Default is FALSE
indicating single plots per proposed points. |

xlim |
[`numeric(2)` ]
For 1D: `xlim` parameter for first and second plot.
Default is range of x-values evaluated in run object `object` . |

ylim |
[`numeric(2)` ]
For 1D: `ylim` parameter for first plot, for the second plot `ylim` is always set
automatically, depending on the range of the evaluated infill criterion.
Default for the first plot is a heuristic to have the true function
and `yhat(x) +- se.factor2 * se(x)` both in the plot. Note that this heuristic might
change the `ylim` setting between plot iterations. |

point.size |
[`numeric(1)` ]
Point size for plotted points. Default is 3. |

line.size |
[`numeric(1)` ]
Line width of the graphs of plotted functions. |

trafo |
[`list` ]
List of transformation functions of type `MBOTrafoFunction` for
the different plots.
For 1D: The list elements should be named with “y” (applied to objective function and model)
or “crit” (applied to the criterion). Only applied to plots with numeric parameters.
For 2D: The list should contain at least one element “y”, “yhat”, “crit”
or “se”.
This way one can specify different transformations for different plots.
If a single function is provided, this function is used for all plots. |

colors |
[`character(3)` ]
Specify colors for point in the plots. Must be a vector of length 3,
each element a color for the type design, prop and seq respectively.
Default is red for the initial design, blue for already proposed points
and green for the actual iteration. |

... |
[any]
Currently not used. |

## Value

[`list`

]. List containing separate ggplot object. The number of plots depends on
the type of MBO problem. See the description for details.