RJSONIO: Serialize R objects to JSON, JavaScript Object Notation

This is a package that allows conversion to and from data in Javascript object notation (JSON) format. This allows R objects to be inserted into Javascript/ECMAScript/ActionScript code and allows R programmers to read and convert JSON content to R objects. This is an alternative to rjson package. That version was too slow for converting large R objects to JSON and is not extensible, but a very useful prototype. It is fast for parsing. This package uses methods, vectorized operations and C code and callbacks to R functions for deserializing JSON objects to R. Verison 0.4 of this package uses a new native parser, implements the transformation code in C and allocates memory efficiently (rather than concatenating because of event driven parsing). The result is a significantly faster parsing of large JSON documents.

Version: 1.0-3
Depends: methods
Published: 2013-03-28
Author: Duncan Temple Lang
Maintainer: Duncan Temple Lang <duncan at r-project.org>
License: BSD
NeedsCompilation: yes
CRAN checks: RJSONIO results

Downloads:

Package source: RJSONIO_1.0-3.tar.gz
MacOS X binary: RJSONIO_1.0-3.tgz
Windows binary: RJSONIO_1.0-3.zip
Reference manual: RJSONIO.pdf
Old sources: RJSONIO archive

Reverse dependencies:

Reverse depends: audiolyzR, bigml, datamart, factualR, FAOSTAT, gridSVG, GuardianR, rAltmetric, rebird, rfisheries, rImpactStory, rPython, RXKCD, SynergizeR, tabplotd3, WDI
Reverse imports: biom, googleVis, govdat, Ohmage, opencpu.encode, Quandl, rdatamarket, rdryad, rfigshare, rImpactStory, RMendeley, ropensnp, rplos, rvertnet, shiny, taxize, tm.plugin.webmining, translate
Reverse suggests: fbRanks, opencpu.demo, taRifx.geo, websockets