ggplot2

R package ggplot2: An implementation of the Grammar of Graphics , An implementation of the grammar of graphics in R. It combines the advantages of both base and lattice graphics: conditioning and shared axes are handled automatically, and you can still build up a plot step by step from multiple data sources. It also implements a sophisticated multidimensional conditioning system and a consistent interface to map data to aesthetic attributes. See the ggplot2 website for more information, documentation and examples. (Source: http://cran.r-project.org/web/packages)


References in zbMATH (referenced in 133 articles , 2 standard articles )

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  1. Andrew M. Raim, Scott H. Holan, Jonathan R. Bradley, Christopher K. Wikle: An R Package for Spatio-Temporal Change of Support (2019) arXiv
  2. Annette Möller, Jürgen Groß: Probabilistic Temperature Forecasting with a Heteroscedastic Autoregressive Ensemble Postprocessing model (2019) arXiv
  3. Boonstra, Philip S.; Barbaro, Ryan P.; Sen, Ananda: Default priors for the intercept parameter in logistic regressions (2019)
  4. Dena J. Clink, Holger Klinck: GIBBONR: An R package for the detection and classification of acoustic signals using machine learning (2019) arXiv
  5. Hay-Jahans, Christopher: R companion to elementary applied statistics (2019)
  6. Heidi Seibold, Achim Zeileis, Torsten Hothorn: model4you: An R Package for Personalised Treatment Effect Estimation. (2019) not zbMATH
  7. Jonathon Love; Ravi Selker; Maarten Marsman; Tahira Jamil; Damian Dropmann; Josine Verhagen; Alexander Ly; Quentin Gronau; Martin Šmíra; Sacha Epskamp; Dora Matzke; Anneliese Wild; Patrick Knight; Jeffrey Rouder; Richard Morey; Eric-Jan Wagenmakers: JASP: Graphical Statistical Software for Common Statistical Designs (2019) not zbMATH
  8. Kuan-Hao Chao, Yi-Wen Hsiao, Yi-Fang Lee, Chien-Yueh Lee, Liang-Chuan Lai, Mong-Hsun Tsai, Tzu-Pin Lu, Eric Y. Chuang: RNASeqR: an R package for automated two-group RNA-Seq analysis workflow (2019) arXiv
  9. Mateusz Staniak, Przemyslaw Biecek: The Landscape of R Packages for Automated Exploratory Data Analysis (2019) arXiv
  10. Morimoto, Juliano: Foraging decisions as multi-armed bandit problems: applying reinforcement learning algorithms to foraging data (2019)
  11. Murrell, Paul: R graphics (2019)
  12. Victor Maus and Gilberto Câmara and Marius Appel and Edzer Pebesma: dtwSat: Time-Weighted Dynamic Time Warping for Satellite Image Time Series Analysis in R (2019) not zbMATH
  13. Zoe Meers, Robert Hickman, Thomas J. Leeper: ggparliament: A ggplot2 extension for parliament plotsin R (2019) not zbMATH
  14. Alessandro Gasparini: rsimsum: Summarise results from Monte Carlo simulation studies (2018) not zbMATH
  15. Alicja Gosiewska; Przemyslaw Biecek: auditor: an R Package for Model-Agnostic Visual Validation and Diagnostic (2018) arXiv
  16. Borcard, Daniel; Gillet, François; Legendre, Pierre: Numerical ecology with R (2018)
  17. Chen, L.; Davydov, Y.; Gribkova, N.; Zitikis, R.: Estimating the index of increase via balancing deterministic and random data (2018)
  18. Chiquet, Julien; Mariadassou, Mahendra; Robin, Stéphane: Variational inference for probabilistic Poisson PCA (2018)
  19. Diane Uschner; David Schindler; Ralf-Dieter Hilgers; Nicole Heussen: randomizeR: An R Package for the Assessment and Implementation of Randomization in Clinical Trials (2018) not zbMATH
  20. D’Urso, Pierpaolo; De Giovanni, Livia; Massari, Riccardo: Robust fuzzy clustering of multivariate time trajectories (2018)

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