This functions plots the results of the benchmark. Input are the estimated powers at a certin significance level from `calculate.power`

.

1 2 3 4 5 | ```
power.plot(powers, num.noise = seq(from = 0.1, to = 3, by = 0.1), mains = c("Linear",
"Quadratic", "Cubic", expression("Sine: period 4" * pi),
expression("Sine: period 16" * pi), "X^(1/4)", "Circle", "Step function",
"Torus"), col = c("black", "red", "blue", "green", "cyan", "brown", "pink"),
labels = TRUE, which = 1:nrow(powers[[1]]), show.legend = "bottomright")
``` |

`powers` |
named list of matrices one for each method with dimension, with one row for each type of dependence and a column for each noise level |

`num.noise` |
matrix, noise levels at which the test were run (see |

`mains` |
character vector, title of each dependence type |

`col` |
character vector, specify the colours, one for each test |

`labels` |
labels to plot at the x axis, or TRUE (default) for standard label plotting (see |

`which` |
numeric vector, which type of dependence to plot |

`show.legend` |
character, either ("bottomright", "topleft", "topright", or "bottomleft") indicates where to place the legend (see |

Does not return a value, used for the side-effect of plotting

Sebastian Dümcke duemcke@mpipz.mpg.de

1 2 3 4 5 6 |

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

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