page.test() page.L() page.compute.exact()

page.test()

page.L()

page.compute.exact()

Page test for monotonicity of ranks.

sm.compositionality() sm.segmentation()

sm.compositionality()

sm.segmentation()

Spike's segmentation and measure of additive compositionality.

ssm.compositionality() ssm.segmentation()

ssm.compositionality()

ssm.segmentation()

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

mantel.test() plot(<mantel>)

mantel.test()

plot(<mantel>)

Perform one or more Mantel permutation tests.

normalisedlevenshteindists()

Compute the normalised Levenshtein distances between strings.

orderinsensitivedists()

Calculate the bag-of-characters similarity between strings.

segment.string() segment.counts()

segment.string()

segment.counts()

Split strings into their constituent segments.

enumerate.substrings()

Enumerate all substrings of a string.

count.substring.occurrences()

Count occurences of all possible substrings in one more strings.

binaryfeaturematrix()

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

enumerate.meaningcombinations()

Enumerate meaning combinations.

hammingdists()

Pairwise Hamming distances between matrix rows.

wrap.meaningdistfunction()

Make a meaning distance function vectorisable.

Functions for creating and manipulating distance matrices of class dist.

dist

check.dist()

Check or fix a distance matrix.

read.dist()

Read a distance matrix from a file or data frame.

repmatrix()

Extend a matrix by repetition of elements.

shuffle.locations()

Permute the rows and columns of a square matrix.

temperature.colors()

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