This function can be used to plot a graph where algorithms are nodes and algorithms that cannot be regarded as different are joined by an edge.

1 2 3 4 | ```
drawAlgorithmGraph(pvalue.matrix, mean.value, ..., alpha = 0.05,
font.size = 15, highlight = "min", highlight.color = "chartreuse3",
node.color = "gray30", font.color = "white", digits = 2,
node.width = 5, node.height = 2)
``` |

`pvalue.matrix` |
Matrix with the p-values |

`mean.value` |
Vector of values to be written together with the name of the algorithm |

`...` |
Additional parameters to the Rgraphviz function. This is mainly to change the layout of the graph |

`alpha` |
Significance level to determine which hypotheses are rejected. |

`font.size` |
Size of the font for the node labels. |

`highlight` |
A character indicating which node has to be highlighted. It can be the one with the maximum value ( |

`highlight.color` |
Any R valid color for the highlighted node. |

`node.color` |
Any R valid color for the non-highlighted nodes. |

`font.color` |
Any R valid color for the node labels. |

`digits` |
Number of digits to display the value associated to each node |

`node.width` |
Numeric value for the width of the node |

`node.height` |
Numeric value for the height of the node |

`plotPvalues`

, `plotRanking`

, `plotCD`

1 2 3 4 5 | ```
data(data_blum_2015)
data <- filterData(data.blum.2015, condition="Size == 1000", remove.cols=1:2)
res <- postHocTest(data, test = "friedman", use.rank=TRUE, correct="bergmann")
## This function requieres the package Rgraphviz
# drawAlgorithmGraph(res$corrected.pval, res$summary)
``` |

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