Simple Features for R

Support for simple features, a standardized way to encode spatial vector data. Binds to GDAL for reading and writing data, to GEOS for geometrical operations, and to Proj.4 for projection conversions and datum transformations.

Utilities for Graphical Rendering

Useful tools for writing vector graphics devices.

Parse XML

Work with XML files using a simple, consistent interface. Built on top of the 'libxml2' C library.

Accesses the Monkeylearn API for Text Classifiers and Extractors

Allows using some services of Monkeylearn < http://monkeylearn.com/> which is a Machine Learning platform on the cloud for text analysis (classification and extraction).

eXtraction of ENTity

Provides a tool for extracting information (entities and relations between them) in text datasets. It also emphasizes the results exploration with graphical displays. It is a rule-based system and works with hand-made dictionaries and local grammars defined by users. 'x.ent' uses parsing with Perl functions and JavaScript to define user preferences through a browser and R to display and support analysis of the results extracted. Local grammars are defined and compiled with the tool Unitex, a tool developed by University Paris Est that supports multiple languages. See ?xconfig for an introduction.

RDF Library Bindings in R

Provides methods to parse, query and serialize information stored in the Resource Description Framework (RDF). RDF is described at < http://www.w3.org/TR/rdf-primer>. This package supports RDF by implementing an R interface to the Redland RDF C library, described at < http://librdf.org/docs/api/index.html>. In brief, RDF provides a structured graph consisting of Statements composed of Subject, Predicate, and Object Nodes.

Client for 'jq', a JSON Processor

Client for 'jq', a JSON processor (< http://stedolan.github.io/jq/>), written in C. 'jq' allows the following with JSON data: index into, parse, do calculations, cut up and filter, change key names and values, perform conditionals and comparisons, and more.

Test Coverage for Packages

Track and report code coverage for your package and (optionally) upload the results to a coverage service like 'Codecov' ( http://codecov.io) or 'Coveralls' ( http://coveralls.io). Code coverage is a measure of the amount of code being exercised by a set of tests. It is an indirect measure of test quality and completeness. This package is compatible with any testing methodology or framework and tracks coverage of both R code and compiled C/C++/FORTRAN code.

Mobilize plots and functions

Some canned plots and functions designed for the mobilize project. Designed to be called remotely.