Learn R Programming

⚠️There's a newer version (0.4.0) of this package.Take me there.

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.

Copy Link

Version

Install

install.packages('soundcorrs')

Monthly Downloads

68

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.