ggplot2

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 44 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. Bezanson, Jeff; Edelman, Alan; Karpinski, Stefan; Shah, Viral B.: Julia: a fresh approach to numerical computing (2017)
  5. 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
  6. 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
  7. Angelopoulos, Nicos; Abdallah, Samer; Giamas, Georgios: Advances in integrative statistics for logic programming (2016)
  8. 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)
  9. Bodenham, Dean A.; Adams, Niall M.: A comparison of efficient approximations for a weighted sum of chi-squared random variables (2016)
  10. Ekstrøm, Claus Thorn: The R primer (2016)
  11. Faraway, Julian J.: Extending the linear model with R. Generalized linear, mixed effects and nonparametric regression models. (2016)
  12. Gillespie, Colin S.; Golightly, Andrew: Diagnostics for assessing the linear noise and moment closure approximations (2016)
  13. Kurtoğlu, Fikriye; Revan Özkale, M.: Liu estimation in generalized linear models: application on gamma distributed response variable (2016)
  14. Pantoja-Hernández, Libertad; Álvarez-Buylla, Elena; Aguilar-Ibáñez, Carlos F.; Garay-Arroyo, Adriana; Soria-López, Alberto; Martínez-García, Juan Carlos: Retroactivity effects dependency on the transcription factors binding mechanisms (2016)
  15. Wickham, Hadley: ggplot2. Elegant graphics for data analysis. With contributions by Carson Sievert (2016)
  16. Bruzzese, Dario; Vistocco, Domenico: DESPOTA: dendrogram slicing through a pemutation test approach (2015)
  17. D’Enza, Alfonso Iodice; Markos, Angelos: Low-dimensional tracking of association structures in categorical data (2015)
  18. Faraway, Julian J.: Linear models with R (2015)
  19. Heiberger, Richard M.; Holland, Burt: Statistical analysis and data display. An intermediate course with examples in R (2015)
  20. Rebecca L Barter, Bin Yu: Superheat: An R package for creating beautiful and extendable heatmaps for visualizing complex data (2015) arXiv

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