String Similarity Joins for Hamming and Levenshtein Distances

This project is a tool for words edit similarity joins (a.k.a. all-pairs similarity search) under small (< 3) edit distance constraints. It works for Levenshtein/Hamming distances and words from any alphabet. The software was originally developed for joining amino-acid/nucleotide sequences from Adaptive Immune Repertoires, where the number of words is relatively large (10^5-10^6) and the average length of words is relatively small (10-100).

ASCII Formatting for Values and Tables

We provide a framework for rendering complex tables to ASCII, and a set of formatters for transforming values or sets of values into ASCII-ready display strings.

Filtering and Randomly Sampling Real User-Agent Strings

Based on data of real user-agent strings, we can set filtering conditions and randomly sample user-agent strings from the user-agent string pool.

String Manipulation Package for Those Familiar with 'Microsoft Excel'

The goal of 'forstringr' is to enable complex string manipulation in R especially to those more familiar with LEFT(), RIGHT(), and MID() functions in Microsoft Excel. The package combines the power of 'stringr' with other manipulation packages such as 'dplyr' and 'tidyr'.

Debug R Packages

Specify debug messages as special string constants, and control debugging of packages via environment variables.

Employs String Distance Tools to Help Clean Categorical Data

Matching with string distance has never been easier! 'messy.cats' contains various functions that employ string distance tools in order to make data management easier for users working with categorical data. Categorical data, especially user inputted categorical data that often tends to be plagued by typos, can be difficult to work with. 'messy.cats' aims to provide functions that make cleaning categorical data simple and easy.

Serializable Representations

String and binary representations of objects for several formats / mime types.

Fast Multi-Pattern String Matching with the 'Aho-Corasick' Algorithm

Provide fast multi-pattern string matching for 'R' using the 'Aho-Corasick' algorithm, powered by the 'Rust' 'aho-corasick' crate. It builds reusable automatons for detecting matches, counting matches, locating character, extracting matched text, and replacing matches in character vectors. For more details on the 'Aho-Corasick' algorithm, please see Aho and Corasick (1975) .

Serialize R Objects to JSON

Converts R objects to and from JavaScript Object Notation (JSON). The package provides a stable interface for reading JSON from strings, files, and connections, and for serializing common R objects, including vectors, lists, data frames, arrays, environments, and S4 objects. It also exposes parser handlers, callbacks, and S4 methods for applications that need customized JSON processing while preserving established RJSONIO behavior.

Match and Replace Strings Based on Named Groups in Regular Expressions

An R6 class "Replacer" provided by the package simplifies working with regex patterns containing named groups. It allows easy retrieval of matched portions and targeted replacements by group name, improving both code clarity and maintainability.