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.

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.

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.

Simple and Fast Date Manipulation on Character Strings in Format 'DD.MM.YYYY'

Provides simple and fast date manipulation functions operating on character strings in the format 'DD.MM.YYYY'. Functions include extraction of day, month, and year components, computation of differences between two dates, and addition or subtraction of months.

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) .

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.

Serializable Representations

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

Join Tables Together on Inexact Matching

Join tables together based not on whether columns match exactly, but whether they are similar by some comparison. Implementations include string distance and regular expression matching.

Translate Quantities from Strings to Integer and Back. Misc Functions on Spanish Data

Character vector to numerical translation in Euros from Spanish spelled monetary quantities. Reverse translation from integer to Spanish. Upper limit is up to the millions range. Geocoding via Cadastral web site.