jsonlite

R package jsonlite: A Robust, High Performance JSON Parser and Generator for R. A fast JSON parser and generator optimized for statistical data and the web. Started out as a fork of ’RJSONIO’, but has been completely rewritten in recent versions. The package offers flexible, robust, high performance tools for working with JSON in R and is particularly powerful for building pipelines and interacting with a web API. The implementation is based on the mapping described in the vignette (Ooms, 2014). In addition to converting JSON data from/to R objects, ’jsonlite’ contains functions to stream, validate, and prettify JSON data. The unit tests included with the package verify that all edge cases are encoded and decoded consistently for use with dynamic data in systems and applications.


References in zbMATH (referenced in 14 articles , 1 standard article )

Showing results 1 to 14 of 14.
Sorted by year (citations)

  1. Andreas Buchmüller, Gillian Kant, Christoph Weisser, Benjamin Säfken, Krisztina Kis-Katos, Thomas Kneib: Twitmo: A Twitter Data Topic Modeling and Visualization Package for R (2022) arXiv
  2. Barneche DR, Coleman G, Fermor D, Klein E, Robinson T, Smith J, Sheehan JL, Dowley S, Ditton D, Gunn K, Ericson G, Logan M, Rehbein M : dataaimsr: An R Client for the Australian Institute of Marine Science Data Platform API which provides easy access to AIMS Data Platform (2021) not zbMATH
  3. Krzysztof Dyba; Jakub Nowosad: rgugik: Search and Retrieve Spatial Data from the Polish Head Office of Geodesy and Cartography in R (2021) not zbMATH
  4. Philips, Cody R.; Garrett, Robert C.; Tatro, Alan J.; Fisher, Thomas J.: An analysis of crash-safety ratings and the true assessment of injuries by vehicle (2021)
  5. Raim, Andrew M.; Holan, Scott H.; Bradley, Jonathan R.; Wikle, Christopher K.: Spatio-temporal change of support modeling with \textttR (2021)
  6. Eduard Szöcs, Tamás Stirling, Eric R. Scott, Andreas Scharmüller, Ralf B. Schäfer: webchem: An R Package to Retrieve Chemical Information from the Web (2020) not zbMATH
  7. Kauê de Sousa, Adam H. Sparks, William Ashmall, Jacob van Etten, Svein Ø. Solberg: chirps: API Client for the CHIRPS Precipitation Data in R (2020) not zbMATH
  8. Andrew M. Raim, Scott H. Holan, Jonathan R. Bradley, Christopher K. Wikle: An R Package for Spatio-Temporal Change of Support (2019) arXiv
  9. Polzehl, Jörg; Tabelow, Karsten: Magnetic resonance brain imaging. Modeling and data analysis using R (2019)
  10. Matter, U.: RWebData: A High-Level Interface to the Programmable Web (2018) not zbMATH
  11. Baumer, Benjamin S.; Kaplan, Daniel T.; Horton, Nicholas J.: Modern data science with R (2017)
  12. Chambers, John M.: Extending R (2016)
  13. Dirk Eddelbuettel; Murray Stokely; Jeroen Ooms: RProtoBuf: Efficient Cross-Language Data Serialization in R (2016) not zbMATH
  14. Jeroen Ooms: The jsonlite Package: A Practical and Consistent Mapping Between JSON Data and R Objects (2014) arXiv