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 40 articles )

Showing results 21 to 40 of 40.
Sorted by year (citations)
  1. Peter DeWitt; Tell Bennett: ensr: R Package for Simultaneous Selection of Elastic Net Tuning Parameters (2019) arXiv
  2. Ramasubramanian, Karthik; Singh, Abhishek: Machine learning using R. With time series and industry-based use cases in R (2019)
  3. Sellereite, Nikolai; Jullum, Martin: shapr: An R-package for explaining machine learning models with dependence-aware Shapley values (2019) not zbMATH
  4. 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
  5. Matter, U.: RWebData: A High-Level Interface to the Programmable Web (2018) not zbMATH
  6. M. Benjamin Sabath, Qian Di, Danielle Braun, Francesca Dominici, Christine Choirat: aipred: A Flexible R Package Implementing Methods for Predicting Air Pollution (2018) arXiv
  7. Roman Luštrik; Žan Kuralt: wolfexplorer: a tool for visualization and exploration of complex multi-year multi-specimen datasets (2018) not zbMATH
  8. Bas, Y., Bas, D., Julien, J.-F.: Tadarida: A Toolbox for Animal Detection on Acoustic Recordings (2017) not zbMATH
  9. Deisy Morselli Gysi, Andre Voigt, Tiago de Miranda Fragoso, Eivind Almaas, Katja Nowick: wTO: an R package for computing weighted topological overlap and consensus networks with an integrated visualization tool (2017) arXiv
  10. Matthias Templ and Bernhard Meindl and Alexander Kowarik and Olivier Dupriez: Simulation of Synthetic Complex Data: The R Package simPop (2017) not zbMATH
  11. Michel Lang: checkmate: Fast Argument Checks for Defensive R Programming (2017) arXiv
  12. Oleg Sofrygin; Mark van der Laan; Romain Neugebauer: simcausal R Package: Conducting Transparent and Reproducible Simulation Studies of Causal Effect Estimation with Complex Longitudinal Data (2017) not zbMATH
  13. RESSTE Network; et al.: Analyzing spatio-temporal data with R: everything you always wanted to know -- but were afraid to ask (2017)
  14. Templ, Matthias: Statistical disclosure control for microdata. Methods and applications in R (2017)
  15. Alexander Kowarik; Matthias Templ: Imputation with the R Package VIM (2016) not zbMATH
  16. Maëlle Salmon; Dirk Schumacher; Michael Höhle: Monitoring Count Time Series in R: Aberration Detection in Public Health Surveillance (2016) not zbMATH
  17. Ugarte, María Dolores; Militino, Ana F.; Arnholt, Alan T.: Probability and statistics with R (2016)
  18. Matthias Templ; Alexander Kowarik; Bernhard Meindl: Statistical Disclosure Control for Micro-Data Using the R Package sdcMicro (2015) not zbMATH
  19. Scott Fortmann-Roe: Consistent and Clear Reporting of Results from Diverse Modeling Techniques: The A3 Method (2015) not zbMATH
  20. Gandrud, Christopher: Reproducible research with R and RStudio (2014)