R package data.table: Extension of ’data.frame’. 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. Offers a natural and flexible syntax, for faster development.

References in zbMATH (referenced in 32 articles )

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  1. Adithi R. Upadhya, Pratyush Agrawal, Sreekanth Vakacherla, Meenakshi Kushwaha: pollucheck v1.0: A package to explore open-source air pollution data (2021) not zbMATH
  2. Andreas Hill, Alexander Massey, Daniel Mandallaz: The R Package forestinventory: Design-Based Global and Small Area Estimations for Multiphase Forest Inventories (2021) not zbMATH
  3. Arnald Puy, Samuele Lo Piano, Andrea Saltelli, Simon A. Levin: sensobol: an R package to compute variance-based sensitivity indices (2021) arXiv
  4. Clemens Schmid; Stephan Schiffels: bleiglas: An R package for interpolation and visualisation of spatiotemporal data with 3D tessellation (2021) not zbMATH
  5. Daneshgar, Neda; Sarmad, Majid: \textttword.alignment: an \textttRpackage for computing statistical word alignment and its evaluation (2020)
  6. Erik Bülow: coder: An R package for code-based item classification and categorization (2020) not zbMATH
  7. Martin Happ, Georg Zimmermann, Edgar Brunner, Arne C. Bathke: Pseudo-Ranks: How to Calculate Them Efficiently in R (2020) not zbMATH
  8. Nicolas R. Lauve, Stuart J. Nelson, S. Stanley Young, Robert L. Obenchain, Christophe G. Lambert: LocalControl: An R Package for Comparative Safety and Effectiveness Research (2020) not zbMATH
  9. Tian-Yuan Huang; Bin Zhao: tidyfst: Tidy Verbs for Fast Data Manipulation (2020) not zbMATH
  10. Anne Petersen; Claus Ekstrøm: dataMaid: Your Assistant for Documenting Supervised Data Quality Screening in R (2019) not zbMATH
  11. Margaret Roberts; Brandon Stewart; Dustin Tingley: stm: An R Package for Structural Topic Models (2019) not zbMATH
  12. Mateusz Staniak, Przemyslaw Biecek: The Landscape of R Packages for Automated Exploratory Data Analysis (2019) arXiv
  13. Peter DeWitt; Tell Bennett: ensr: R Package for Simultaneous Selection of Elastic Net Tuning Parameters (2019) arXiv
  14. Ramasubramanian, Karthik; Singh, Abhishek: Machine learning using R. With time series and industry-based use cases in R (2019)
  15. Sellereite, Nikolai; Jullum, Martin: shapr: An R-package for explaining machine learning models with dependence-aware Shapley values (2019) not zbMATH
  16. A. S. G. Robotham, L. J. M. Davies, S. P. Driver, S. Koushan, D. S. Taranu, S. Casura, J. Liske: ProFound: Source Extraction and Application to Modern Survey Data (2018) arXiv
  17. Matter, U.: RWebData: A High-Level Interface to the Programmable Web (2018) not zbMATH
  18. M. Benjamin Sabath, Qian Di, Danielle Braun, Francesca Dominici, Christine Choirat: aipred: A Flexible R Package Implementing Methods for Predicting Air Pollution (2018) arXiv
  19. Roman Luštrik; Žan Kuralt: wolfexplorer: a tool for visualization and exploration of complex multi-year multi-specimen datasets (2018) not zbMATH
  20. Bas, Y., Bas, D., Julien, J.-F.: Tadarida: A Toolbox for Animal Detection on Acoustic Recordings (2017) not zbMATH

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