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soundcorrs (version 0.2.0)

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

0.2.0

License

GPL-3

Maintainer

Kamil Stachowski

Last Published

September 1st, 2020

Functions in soundcorrs (0.2.0)

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

cbind.soundcorrs

Attach one or more columns to a soundcorrs object.

Intersperse a vector of strings with a character or string.

Check if the count argument is correct.

Generate all co-occurrence contingency tables for a dataset.

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

Information that the char2value() function is obsolete.

Paste and collapse.

Check if the unit argument is correct.

formatter.latex

A formatter for allPairs. This one formats to LaTeX.

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

merge.soundcorrs

Merge two or more soundcorrs objects.

A formatter for allPairs. This one formats to HTML.

Fit multiple models to one dataset.

Fit multiple models to multiple datasets.

sampleSoundCorrsData.capitals

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

Check if a string ends in another string.

Generate a contingency table of co-occurrences of sound correspondences with themselves, or with metadata.

The inverse of %in%.

sampleSoundCorrsData.abc

A sample dataset with entirely made up words and languages.

sampleSoundCorrsData.ie

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

Expand custom metacharacters to a regular expression.

Compose two functions.

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

Information that the scOne class is obsolete.

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

Constructor function for the transcription class.

Check if a string starts with another string.

A convenience wrapper around findExamples.

print.soundcorrs

A more reasonable display of a soundcorrs object.

print.transcription

A more reasonable display of a transcription object.

Constructor function for the soundcorrs class.

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

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

subset.soundcorrs

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

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

Transpose a nested list.

read.transcription

Read transcription from a tsv file.

Find all pairs/triples/... with corresponding sequences of sounds.

Information that the findSegments function is obsolete.

Rev (reverse the order) for character strings.

read.soundcorrs

Read data for a single language from a tsv file.

Information that the scOne class is obsolete.

Information that the scOne class is obsolete.

N-grams and their frequencies.

summary.list.lapplyTest

A quick summary of the result of lapplyTest.

summary.list.multiFit

A comparison of the results produced by fitTable or multiFit.

print.df.findExamples

Pretty printing for the result of findExamples.

Information that the scOne class is obsolete.

Apply a function to a list.

Measure the depth of a nested list.

summary.soundcorrs

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

Convert a table from absolute to relative values.