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 31 articles )

Showing results 21 to 31 of 31.
Sorted by year (citations)
  1. Matthias Templ and Bernhard Meindl and Alexander Kowarik and Olivier Dupriez: Simulation of Synthetic Complex Data: The R Package simPop (2017) not zbMATH
  2. Michel Lang: checkmate: Fast Argument Checks for Defensive R Programming (2017) arXiv
  3. 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
  4. RESSTE Network; et al.: Analyzing spatio-temporal data with R: everything you always wanted to know -- but were afraid to ask (2017)
  5. Templ, Matthias: Statistical disclosure control for microdata. Methods and applications in R (2017)
  6. Alexander Kowarik; Matthias Templ: Imputation with the R Package VIM (2016) not zbMATH
  7. Maëlle Salmon; Dirk Schumacher; Michael Höhle: Monitoring Count Time Series in R: Aberration Detection in Public Health Surveillance (2016) not zbMATH
  8. Ugarte, María Dolores; Militino, Ana F.; Arnholt, Alan T.: Probability and statistics with R (2016)
  9. Matthias Templ; Alexander Kowarik; Bernhard Meindl: Statistical Disclosure Control for Micro-Data Using the R Package sdcMicro (2015) not zbMATH
  10. Scott Fortmann-Roe: Consistent and Clear Reporting of Results from Diverse Modeling Techniques: The A3 Method (2015) not zbMATH
  11. Gandrud, Christopher: Reproducible research with R and RStudio (2014)