binaryfeaturematrix |
Convert a meaning matrix to a binary 'meaning-feature-present' matrix. |

check.dist |
Check or fix a distance matrix. |

count.substring.occurrences |
Count occurences of all possible substrings in one more strings. |

enumerate.meaningcombinations |
Enumerate meaning combinations. |

enumerate.substrings |
Enumerate all substrings of a string. |

hammingdists |
Pairwise Hamming distances between matrix rows. |

mantel.test |
Perform one or more Mantel permutation tests. |

mantel.test.default |
Perform one or more Mantel permutation tests. |

mantel.test.formula |
Perform one or more Mantel permutation tests. |

mantel.test.list |
Perform one or more Mantel permutation tests. |

normalisedlevenshteindists |
Compute the normalised Levenshtein distances between strings. |

orderinsensitivedists |
Calculate the bag-of-characters similarity between strings. |

page.compute.exact |
Page test for monotonicity of ranks. |

page.L |
Page test for monotonicity of ranks. |

page.test |
Page test for monotonicity of ranks. |

plot.mantel |
Perform one or more Mantel permutation tests. |

read.dist |
Read a distance matrix from a file or data frame. |

repmatrix |
Extend a matrix by repetition of elements. |

segment.counts |
Split strings into their constituent segments. |

segment.string |
Split strings into their constituent segments. |

shuffle.locations |
Permute the rows and columns of a square matrix. |

sm.compositionality |
Spike's segmentation and measure of additive compositionality. |

sm.segmentation |
Spike's segmentation and measure of additive compositionality. |

ssm.compositionality |
Find a segmentation that maximises the overall string coverage across all signals. |

ssm.segmentation |
Find a segmentation that maximises the overall string coverage across all signals. |

temperature.colors |
Create a vector of 'temperature' colors (from blue over white to red). |

wrap.meaningdistfunction |
Make a meaning distance function vectorisable. |