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. |