iotools: High-Performance I/O Tools for R
Computation
2016-04-08 v2 Performance
Abstract
The iotools package provides a set of tools for Input/Output (I/O) intensive datasets processing in R (R Core Team, 2014). Efficent parsing methods are included which minimize copying and avoid the use of intermediate string representations whenever possible. Functions for applying chunk-wise operations allow for computing on streaming input as well as arbitrarily large files. We present a set of example use cases for iotools, as well as extensive benchmarks comparing comparable functions provided in both core-R as well as other contributed packages.
Keywords
Cite
@article{arxiv.1510.00041,
title = {iotools: High-Performance I/O Tools for R},
author = {Taylor Arnold and Michael Kane and Simon Urbanek},
journal= {arXiv preprint arXiv:1510.00041},
year = {2016}
}
Comments
8 pages, 2 figures