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 190 articles , 2 standard articles )

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  1. Eduard Szöcs, Tamás Stirling, Eric R. Scott, Andreas Scharmüller, Ralf B. Schäfer: webchem: An R Package to Retrieve Chemical Information from the Web (2020) not zbMATH
  2. Foo Cheung; The CHI Consortium: A Figure One Web Tool for Visualization of Experimental Designs (2020) not zbMATH
  3. Gupta, Bhisham C.; Guttman, Irwin; Jayalath, Kalanka P.: Statistics and probability with applications for engineers and scientists using MINITAB, R and JMP (2020)
  4. Irizarry, Rafael A.: Introduction to data science. Data analysis and prediction algorithms with R (2020)
  5. Jason Cory Brunson: ggalluvial: Layered Grammar for Alluvial Plots (2020) not zbMATH
  6. Maria Xose Rodriguez-Alvarez, Vanda Inacio: ROCnReg: An R Package for Receiver Operating Characteristic Curve Inference with and without Covariate Information (2020) arXiv
  7. Martin, Bryan D.; Witten, Daniela; Willis, Amy D.: Modeling microbial abundances and dysbiosis with beta-binomial regression (2020)
  8. Neeraj Dhanraj Bokde; Gorm Bruun Andersen: ForecastTB - An R Package as a Test-bench for Forecasting Methods Comparison (2020) arXiv
  9. Virta, Joni; Li, Bing; Nordhausen, Klaus; Oja, Hannu: Independent component analysis for multivariate functional data (2020)
  10. von Schroeder, Jonathan; Dickhaus, Thorsten: Efficient calculation of the joint distribution of order statistics (2020)
  11. Williams, Matthew R.; Savitsky, Terrance D.: Bayesian estimation under informative sampling with unattenuated dependence (2020)
  12. Andrew M. Raim, Scott H. Holan, Jonathan R. Bradley, Christopher K. Wikle: An R Package for Spatio-Temporal Change of Support (2019) arXiv
  13. Anne Petersen; Claus Ekstrøm: dataMaid: Your Assistant for Documenting Supervised Data Quality Screening in R (2019) not zbMATH
  14. Annette Möller, Jürgen Groß: Probabilistic Temperature Forecasting with a Heteroscedastic Autoregressive Ensemble Postprocessing model (2019) arXiv
  15. Ann-Kristin Kreutzmann; Sören Pannier; Natalia Rojas-Perilla; Timo Schmid; Matthias Templ; Nikos Tzavidis: The R Package emdi for Estimating and Mapping Regionally Disaggregated Indicators (2019) not zbMATH
  16. Athanasia M. Mowinckel, Didac Vidal-Piñeiro: Visualisation of Brain Statistics with R-packages ggseg and ggseg3d (2019) arXiv
  17. Balocchi, Cecilia; Jensen, Shane T.: Spatial modeling of trends in crime over time in Philadelphia (2019)
  18. Bien, Jacob: Graph-guided banding of the covariance matrix (2019)
  19. Boonstra, Philip S.; Barbaro, Ryan P.; Sen, Ananda: Default priors for the intercept parameter in logistic regressions (2019)
  20. Casalicchio, Giuseppe; Bossek, Jakob; Lang, Michel; Kirchhoff, Dominik; Kerschke, Pascal; Hofner, Benjamin; Seibold, Heidi; Vanschoren, Joaquin; Bischl, Bernd: \textttOpenML: an \textttRpackage to connect to the machine learning platform openml (2019)

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