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 41 articles )

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  1. Clara Antón-Fernández, Rasmus Astrup: SiTree: A framework to implement single-tree simulators (2022) not zbMATH
  2. Liang, Jane W.; Sen, Śaunak: Sparse matrix linear models for structured high-throughput data (2022)
  3. Adithi R. Upadhya, Pratyush Agrawal, Sreekanth Vakacherla, Meenakshi Kushwaha: pollucheck v1.0: A package to explore open-source air pollution data (2021) not zbMATH
  4. Andreas Hill, Alexander Massey, Daniel Mandallaz: The R Package forestinventory: Design-Based Global and Small Area Estimations for Multiphase Forest Inventories (2021) not zbMATH
  5. Arnald Puy, Samuele Lo Piano, Andrea Saltelli, Simon A. Levin: sensobol: an R package to compute variance-based sensitivity indices (2021) arXiv
  6. Clemens Schmid; Stephan Schiffels: bleiglas: An R package for interpolation and visualisation of spatiotemporal data with 3D tessellation (2021) not zbMATH
  7. David Ardia, Keven Bluteau, Samuel Borms, Kris Boudt: The R package sentometrics to compute, aggregate and predict with textual sentiment (2021) arXiv
  8. Krzysztof Gajowniczek; Tomasz Ząbkowski: ImbTreeAUC: An R package for building classification trees using the area under the ROC curve (AUC) on imbalanced datasets (2021) not zbMATH
  9. Paynter, Alex; Willis, Amy D.: Tuning parameter selection for a penalized estimator of species richness (2021)
  10. 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)
  11. Samuel Borms, David Ardia, Keven Bluteau, Kris Boudt, Jeroen Van Pelt, Andres Algaba: The R Package sentometrics to Compute, Aggregate, and Predict with Textual Sentiment (2021) not zbMATH
  12. Wollschläger, Daniel: R compact. The fast introduction into data analysis (2021)
  13. Daneshgar, Neda; Sarmad, Majid: \textttword.alignment: an \textttRpackage for computing statistical word alignment and its evaluation (2020)
  14. Erik Bülow: coder: An R package for code-based item classification and categorization (2020) not zbMATH
  15. Martin Happ, Georg Zimmermann, Edgar Brunner, Arne C. Bathke: Pseudo-Ranks: How to Calculate Them Efficiently in R (2020) not zbMATH
  16. 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
  17. Tian-Yuan Huang; Bin Zhao: tidyfst: Tidy Verbs for Fast Data Manipulation (2020) not zbMATH
  18. Anne Petersen; Claus Ekstrøm: dataMaid: Your Assistant for Documenting Supervised Data Quality Screening in R (2019) not zbMATH
  19. Claveau, François; Grenier, Olivier: The variety-of-evidence thesis: a Bayesian exploration of its surprising failures (2019)
  20. Margaret Roberts; Brandon Stewart; Dustin Tingley: stm: An R Package for Structural Topic Models (2019) not zbMATH

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