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 61 articles )

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  1. Antoine Filipovic-Pierucci, Kevin Zarca, Isabelle Durand-Zaleski: Markov Models for Health Economic Evaluations: The R Package heemod (2017) arXiv
  2. Baumer, Benjamin S.; Kaplan, Daniel T.; Horton, Nicholas J.: Modern data science with R (2017)
  3. Beckerman, Andrew P.; Petchey, Owen L.: Getting started with R. An introduction for biologists. (2017)
  4. Benjamin R. Fitzpatrick, Kerrie Mengersen: A network flow approach to visualising the roles of covariates in random forests (2017) arXiv
  5. Bezanson, Jeff; Edelman, Alan; Karpinski, Stefan; Shah, Viral B.: Julia: a fresh approach to numerical computing (2017)
  6. Bodenham, Dean A.; Adams, Niall M.: Continuous monitoring for changepoints in data streams using adaptive estimation (2017)
  7. Bücher, Axel; Kinsvater, Paul; Kojadinovic, Ivan: Detecting breaks in the dependence of multivariate extreme-value distributions (2017)
  8. Clara Happ: Object-Oriented Software for Functional Data (2017) arXiv
  9. Giuseppe Casalicchio, Jakob Bossek, Michel Lang, Dominik Kirchhoff, Pascal Kerschke, Benjamin Hofner, Heidi Seibold, Joaquin Vanschoren, Bernd Bischl: OpenML: An R Package to Connect to the Networked Machine Learning Platform OpenML (2017) arXiv
  10. Peter E. DeWitt, Samantha MaWhinney, Nichole E. Carlson: cpr: An R Package For Finding Parsimonious B-Spline Regression Models via Control Polygon Reduction and Control Net Reduction (2017) arXiv
  11. Przemyslaw Biecek, Marcin Kosinski: archivist: An R Package for Managing, Recording and Restoring Data Analysis Results (2017) arXiv
  12. RESSTE Network et al.: Analyzing spatio-temporal data with R: everything you always wanted to know -- but were afraid to ask (2017)
  13. Starunova, Olga A.; Rudnev, Sergey G.; Starodubov, Vladimir I.: HCViewer: software and technology for quality control and processing raw mass data of preventive screening (2017)
  14. Angelopoulos, Nicos; Abdallah, Samer; Giamas, Georgios: Advances in integrative statistics for logic programming (2016)
  15. Beams, Alexander B.; Toth, Damon J.A.; Khader, Karim; Adler, Frederick R.: Harnessing intra-host strain competition to limit antibiotic resistance: mathematical model results (2016)
  16. Bodenham, Dean A.; Adams, Niall M.: A comparison of efficient approximations for a weighted sum of chi-squared random variables (2016)
  17. Ekstrøm, Claus Thorn: The R primer (2016)
  18. Faraway, Julian J.: Extending the linear model with R. Generalized linear, mixed effects and nonparametric regression models. (2016)
  19. Gillespie, Colin S.; Golightly, Andrew: Diagnostics for assessing the linear noise and moment closure approximations (2016)
  20. Krause, Andreas: Book review of: A. Unwin, Graphical data analysis with R. (2016)

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