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).