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soundcorrs (version 0.1.1)

Semi-Automatic Analysis of Sound Correspondences

Description

A set of tools that can be used in computer-aided analysis of sound correspondences between languages, plus several helper functions. Analytic functions range from purely qualitative analysis, through statistic methods yielding qualitative results, to an entirely quantitative approach.

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Install

install.packages('soundcorrs')

Monthly Downloads

62

Version

0.1.1

License

GPL-3

Maintainer

Kamil Stachowski

Last Published

April 24th, 2020

Functions in soundcorrs (0.1.1)

Paste and collapse.

Fit multiple models to multiple datasets.

read.transcription

Read transcription from a tsv file.

A formatter for allPairs. This one formats to HTML.

Apply a function to a list.

Sum all rows and all columns in a table, except for the selected ones.

Convert characters to their values.

Convert from the wide format (multiple entries per row) to the long format (single entry per row).

Check if a string starts with another string.

Segments in relation to segments exhibiting a correspondence.

Measure the depth of a nested list.

Frequencies of n-grams.

print.soundcorrs

A more reasonable display of a soundcorrs object.

A more reasonable display of a scOne object.

Rev (reverse the order) for character strings.

summary.list.lapplyTest

A quick summary of the result of lapplyTest.

sampleSoundCorrsData.abc

A sample dataset with entirely made up words and languages.

sampleSoundCorrsData.capitals

A sample dataset with the names of EU capitals in German, Polish, and Spanish.

Build a contingency table counting either occurrences or words.

Build a contingency table counting either occurrences or words.

summary.soundcorrs

Generate a segment-to-segment contingency table for two languages.

Compose two functions.

Intersperse a vector of strings with a character or string.

summary.list.multiFit

A comparison of the results produced by fitTable or multiFit.

print.df.findPairs

Pretty printing for the result of findPairs.

A vector to data frame converter for fitTable. This one orders data by rank.

A vector to data frame converter for fitTable. This one only does the necessary minimum.

Produce a list of all sound correspondences and all pairs in which they are attested.

Check if a string ends in another string.

Convert a table from absolute to relative values.

Convert from the long format (single entry per row) to the wide format (multiple entries per row).

The inverse of %in%.

Fit multiple models to one dataset.

sampleSoundCorrsData.ie

A sample dataset with a dozen words in English, Gothic, Greek, and Latin.

print.transcription

A more reasonable display of a transcription object.

A formatter for allPairs. This one does practically no formatting at all.

Constructor function for the scOne class.

formatter.latex

A formatter for allPairs. This one formats to LaTeX.

The base::table function.

table.soundcorrs

Generate a correspondence-to-correspondence or correspondence-to-metadata contingency table.

Constructor function for the transcription class.

Check if the count argument is correct.

Constructor function for the soundcorrs class.

Read data for a single language from a tsv file.

Check if the unit argument is correct.

subset.soundcorrs

Return a subset of sound correspondences data which meets a condition.

A vector to data frame converter for fitTable. This one makes a histogram, and returns a data frame with midpoints and counts.

Expand custom metacharacters to a regular expression.

Generate all contingency tables for a dataset.

cbind.soundcorrs

Attach one or more columns to a soundcorrs object.

Find all pairs with corresponding sequences of sounds.