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

View source: R/TopKInference.R

Returns a complex object named truncated.lists containing the `Idata`

vector (see `prepare.idata`

), the estimated truncation index *j_0=k+1* (see `compute.stream`

) for each pair of input lists, the overall top-*k* estimate (see `j0.multi`

), and other objects with necessary plotting information for the `aggmap`

1 | ```
calculate.maxK(lists, L, d, v, threshold)
``` |

`lists` |
Data frame containing two or more columns that represent input lists of ordered objects subject to comparison |

`L` |
Number of input lists that are compared |

`d` |
The maximal distance delta between object ranks required for the estimation of |

`v` |
The pilot sample size (tuning parameter) |

`threshold` |
The percentage of occurencies of an object in the top- |

A named list of the following content:

`comparedLists` |
Contains information about the overlap of all pairwise compared lists (structure for the |

`info` |
Contains information about the list names |

`grayshadedLists` |
Contains information which objects in a list are consolidated (gray-shaded in the |

`summarytable` |
Table of top- |

`vennlists` |
Contains the top- |

`venntable` |
Contains the overlap information (for display in the Venn-table) |

`v` |
Selected pilot sample size (tuning parameter) |

`Ntoplot` |
Number of columns to be plotted in the |

`Idata` |
Data frame of Idata vectors (see |

`d` |
selected delta |

`threshold` |
selected threshold |

`threshold` |
number of lists |

`N` |
number of items in data frame (lists) |

`lists` |
data frame of lists that entered the analysis |

`maxK` |
maximal estimate of the top- |

`topkspace` |
the final integrated list of objects as result of the CEMC algorithm applied to the maxK truncated lists |

Eva Budinska <budinska@iba.muni.cz>, Michael G. Schimek <michael.schimek@medunigraz.at>

Hall, P. and Schimek, M. G. (2012). Moderate deviation-based inference for random degeneration in paired rank lists. J. Amer. Statist. Assoc., 107, 661-672.

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