Parallel

Provides user interface and database connection code for annotation data packages using SQLite data storage.

Functions that are needed by many other packages or which replace R functions.

Fast aggregation of large data (e.g. 100GB in RAM), fast ordered joins, fast add/modify/delete of columns by group using no copies at all, list columns, a fast friendly file reader and parallel file writer.

Provides color schemes for maps (and other graphics) designed by Cynthia Brewer as described at http://colorbrewer2.org

Classes and methods for spatial data; the classes document where the spatial location information resides, for 2D or 3D data. Utility functions are provided, e.g.

Many approaches for both reading and creating XML (and HTML) documents (including DTDs), both local and accessible via HTTP or FTP. Also offers access to an 'XPath' "interpreter".

Provides a 'tbl_df' class (the 'tibble') that provides stricter checking and better formatting than the traditional data frame.

Provides a parallel backend for the %dopar% function using the parallel package.

R functions implementing a standard Unit Testing framework, with additional code inspection and report generation tools.

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 ...