R is a language and environment for statistical computing and graphics. It is a GNU project which is similar to the S language and environment which was developed at Bell Laboratories (formerly AT&T, now Lucent Technologies) by John Chambers and colleagues. R can be considered as a different implementation of S. There are some important differences, but much code written for S runs unaltered under R. R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, ...) and graphical techniques, and is highly extensible. The S language is often the vehicle of choice for research in statistical methodology, and R provides an Open Source route to participation in that activity. One of R’s strengths is the ease with which well-designed publication-quality plots can be produced, including mathematical symbols and formulae where needed. Great care has been taken over the defaults for the minor design choices in graphics, but the user retains full control. R is the base for many R packages listed in https://cran.r-project.org/

This software is also referenced in ORMS.

References in zbMATH (referenced in 8873 articles , 6 standard articles )

Showing results 1 to 20 of 8873.
Sorted by year (citations)

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  1. Loftus, Stephen C.: Basic statistics with R. Reaching decisions with data (2022)
  2. Wiberg, Marie; Gonzalez, Jorge; von Davier, Alina A.: Generalized kernel equating with applications in R (to appear) (2022)
  3. Abdi, Hervé; Beaton, Derek: Principal component and correspondence analyses using R (to appear) (2021)
  4. Adithi R. Upadhya, Pratyush Agrawal, Sreekanth Vakacherla, Meenakshi Kushwaha: pollucheck v1.0: A package to explore open-source air pollution data (2021) not zbMATH
  5. Adrian Lamela, Itziar Fernandez, Yolanda Larriba, Alejandro Rodriguez, Cristina Rueda: FMM: An R Package for Modeling Rhythmic Patterns in Oscillatory Systems (2021) arXiv
  6. Adrian Richter; Carsten Oliver Schmidt; Markus Krüger; Stephan Struckmann: dataquieR: assessment of data quality in epidemiological research (2021) not zbMATH
  7. Aeberhard, William H.; Cantoni, Eva; Marra, Giampiero; Radice, Rosalba: Robust fitting for generalized additive models for location, scale and shape (2021)
  8. Akalin, Altuna: Computational genomics with R. With the assistance of Verdan Franke, Bora Uyar and Jonathan Ronen (2021)
  9. Alanazi, Fadhah Amer: A mixture of regular vines for multiple dependencies (2021)
  10. Alberto Caimo, Lampros Bouranis, Robert Krause, Nial Friel: Statistical Network Analysis with Bergm (2021) arXiv
  11. Alexander Meier, Claudia Kirch, Haeran Cho: mosum: A Package for Moving Sums in Change-Point Analysis (2021) not zbMATH
  12. Alex Stringer: Implementing Adaptive Quadrature for Bayesian Inference: the aghq Package (2021) arXiv
  13. Andrea Bommert, Michel Lang: stabm: Stability Measures for Feature Selection (2021) not zbMATH
  14. Andreas Hill, Alexander Massey, Daniel Mandallaz: The R Package forestinventory: Design-Based Global and Small Area Estimations for Multiphase Forest Inventories (2021) not zbMATH
  15. Andrew Ying, Eric J. Tchetgen Tchetgen: A New Causal Approach to Account for Treatment Switching in Randomized Experiments under a Structural Cumulative Survival Model (2021) arXiv
  16. Arnald Puy, Samuele Lo Piano, Andrea Saltelli, Simon A. Levin: sensobol: an R package to compute variance-based sensitivity indices (2021) arXiv
  17. Artur Karczmarczyk, Jarosław Jankowski, Jarosław Wątróbski: OONIS - Object-Oriented Network Infection Simulator (2021) not zbMATH
  18. Aryuyuen, Sirinapa; Bodhisuwan, Winai; Ngamkham, Thuntida: Power Garima-generated family of distributions: properties and application (2021)
  19. Bagnato, Luca; Punzo, Antonio: Unconstrained representation of orthogonal matrices with application to common principal components (2021)
  20. Bakar, S. A. Abu; Nadarajah, S.: Composite models with underlying folded distributions (2021)

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Further publications can be found at: http://journal.r-project.org/