Additional Binary Operators

A set of binary operators for common tasks such as regex manipulation.

An R Interface to the Onigmo Regular Expression Library

Provides an alternative to R's built-in functionality for handling regular expressions, based on the Onigmo library. Offers first-class compiled regex objects, partial matching and function-based substitutions, amongst other features.

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.

R6 Objects for Text and Data

For natural language processing and analysis of qualitative text coding structures which provide a way to bind together text and text data are fundamental. The package provides such a structure and accompanying methods in form of R6 objects. The 'rtext' class allows for text handling and text coding (character or regex based) including data updates on text transformations as well as aggregation on various levels. Furthermore, the usage of R6 enables inheritance and passing by reference which should enable 'rtext' instances to be used as back-end for R based graphical text editors or text coding GUIs.

Download Online Imagery Tiles

Download imagery tiles to a standard cache and load the data into raster objects. Facilities for 'AWS' terrain < https://registry.opendata.aws/terrain-tiles/> terrain and 'Mapbox' < https://www.mapbox.com/> servers are provided.

Core Functionality for the 'rebus' Package

Build regular expressions piece by piece using human readable code. This package contains core functionality, and is primarily intended to be used by package developers.

Build Regular Expressions in a Human Readable Way

Build regular expressions piece by piece using human readable code. This package is designed for interactive use. For package development, use the rebus.* dependencies.

Efficiently Read Sequence Data (VCF Format, BCF Format, METAL Format and BGEN Format) into R

Integrate sequencing data (Variant call format, e.g. VCF or BCF) or meta-analysis results in R. This package can help you (1) read VCF/BCF/BGEN files by chromosomal ranges (e.g. 1:100-200); (2) read RareMETAL summary statistics files; (3) read tables from a tabix-indexed files; (4) annotate VCF/BCF files; (5) create customized workflow based on Makefile.