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qlcMatrix

Utility sparse matrix functions for Quantitative Language Comparison (QLC)

This R-package contains various functions that extend the functionality of the Matrix package for using sparse matrices. Some of the functions are very general, while other are highly specific for special data format as used for quantitative language comparison.

The package is available at CRAN, so normally you should just install from within R using:

install.packages("qlcMatrix")  
library(qlcMatrix)  

The version here at Github is normally slightly ahead of the CRAN version, and you can install the most up-to-date version using:

install.packages("devtools")
devtools::install_github("cysouw/qlcMatrix")

Michael Cysouw cysouw@mac.com

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Version

Install

install.packages('qlcMatrix')

Monthly Downloads

1,261

Version

0.9.5

License

GPL-3

Maintainer

Michael Cysouw

Last Published

October 9th, 2015

Functions in qlcMatrix (0.9.5)

WALS

The World Atlas of Language Structures (WALS)
rowMax

Row and column extremes (sparse matrices)
Array

Sparse Arrays ("Tensors")
huber

Comparative vocabulary for indigenous languages of Colombia (Huber & Reed 1992)
rSparseMatrix

Construct a random sparse matrix
rKhatriRao

`reduced' Khatri-Rao product (sparse matrices)
bibles

A selection of bible-texts
qlcMatrix-package

Utility sparse matrix functions for Quantitative Language Comparison (QLC)
unfoldBlockMatrix

Unfolding of block matrices (sparse matrices)
ttMatrix

Construct a `type-token' (tt) Matrix from a vector
unfold

Unfolding of Arrays
splitStrings

Construct unigram and bigram matrices from a vector of strings
pwMatrix

Construct `part-whole' (pw) Matrices from tokenized strings
jMatrix

Harmonize (`join') sparse matrices
sim.words

Similarity-measures for words between two languages, based on co-occurrences in parallel text
sim.nominal

Similarity-measures for nominal variables
splitText

Construct sparse matrices from parallel texts
assocSparse

Association between columns (sparse matrices)
corSparse

Pearson correlation between columns (sparse matrices)
cosNominal

Associations-measures for sparsely encoded nominal variables
sim.strings

String similarity by cosine similarity between bigram vectors
splitTable

Construct sparse matrices from a nominal matrix/dataframe
splitWordlist

Construct sparse matrices from comparative wordlists (aka `Swadesh list')
cosSparse

Cosine similarity between columns (sparse matrices)
sim.wordlist

Similarity matrices from wordlists