Description Usage Arguments Details Author(s) References See Also Examples

Barplot or scatterplot of objective function metrics. A barplot is created if only one metric is defined in `which`

. A scatterplot is created if two metrics are defined.

1 2 3 4 |

`x` |
an object of class |

`which` |
Which objective function metrics should be plotted? If one metric is defined, a barplot will be plotted. If more than one metric is defined, the first metric will be used for the x-axis and the second metric for y-axis of a scatterplot. If a third metric is specified, point sizes in the scatterplot will be scaled. |

`alpha` |
significance level to plot objetive functions that are not significant different from the optimum with different point symbols. This only works if the the selected objective functions in which have a p-value. Set to NULL to avoid this option. |

`cols` |
colors for the groups |

`pch` |
point symbols for scatterplots or for pointsplots (instead of barplot) |

`legend` |
plot a legend for the significance point symbols? |

`xlab` |
label for x-axis |

`ylab` |
label for y-axis |

`xlim` |
limits for x-axis |

`ylim` |
limits for y-axis |

`txt` |
text for the points |

`add` |
add plot to an existing plot? This only works for scatterplots. |

`...` |
further arguments to |

No details.

Matthias Forkel <[email protected]> [aut, cre]

No reference.

`ObjFct`

, `TaylorPlot`

, `ScatterPlot`

, `WollMilchSauPlot`

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 | ```
# create some data
obs <- 1:300
sim <- obs * c(rnorm(100, 1, 0.1), rnorm(100, 1, 0.3), rnorm(100, 1, 0.5))
groups <- c(rep("subset 1", 100), rep("subset 2", 100), rep("subset 3", 100))
ScatterPlot(sim, obs, groups, objfct=TRUE)
of <- ObjFct(sim, obs, groups)
of
# default plot
plot(of)
# barplots with only one metric
plot(of, "Cor")
plot(of, "AE")
plot(of, "MEF")
# options for the scatterplot:
plot(of, c("Cor", "RMSE", "MEF"))
plot(of, c("Spearman", "KS"), alpha=0.05)
plot(of, c("Spearman", "KS"), alpha=NULL)
plot(of, cols=c("black", "red", "blue", "green"))
plot(of, c("Cor", "FV"), pch=0:4)
``` |

ModelDataComp documentation built on May 31, 2017, 1:35 a.m.

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