allCooccs: Generate all co-occurrence contingency tables for a dataset.

In soundcorrs: Semi-Automatic Analysis of Sound Correspondences

Description

Generate all correspondence-to-correspondence or correspondence-to-metadata contingnecy tables for a dataset.

Usage

allCooccs(data, column, count, unit, bin)

Arguments

data	[soundcorrs] The dataset from which to draw frequencies. Only datasets with two languages are supported.
column	[character] Name of the column with metadata. If NULL, sound correspondences are cross-tabulated with themselves. Defaults to NULL.
count	[character] Report the absolute number of times or words, or relative to how many times or in how many words the given segments co-occur in L1 or L2. Accepted values are "a(bs(olute))" and "r(el(ative))". Defaults to "a".
unit	[character] Count how many times a correspondence occurs or in how many words it occurs. Accepted values are "o(cc(ur(ence(s))))" and "w(or(d(s)))". Defaults to "w".
bin	[logical] Whether to bin tables before applying fun to them. Defaults to TRUE.

Details

A contingency table such as produced by coocc may be insightful but more often than not statistical tests cannot be applied directly to it, or at least they would not produce meaningful results. This function splits such a table into blocks such that each block only contains the correspondences of a single segment. The resulting slices, additionally binned or not (cf. binTable), can be then passed to lapplyTest for a near-automatic application of a test.

Value

[list] A list of tables.

See Also

coocc, binTable, lapplyTest

Examples

dataset <- loadSampleDataset ("data-abc")
allCooccs (dataset)
allCooccs (dataset, "DIALECT.L2", unit="o")

soundcorrs documentation built on Nov. 16, 2020, 5:09 p.m.