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 274 articles , 2 standard articles )

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  1. Adrian Lamela, Itziar Fernandez, Yolanda Larriba, Alejandro Rodriguez, Cristina Rueda: FMM: An R Package for Modeling Rhythmic Patterns in Oscillatory Systems (2021) arXiv
  2. Adrian Richter; Carsten Oliver Schmidt; Markus Krüger; Stephan Struckmann: dataquieR: assessment of data quality in epidemiological research (2021) not zbMATH
  3. Akalin, Altuna: Computational genomics with R. With the assistance of Verdan Franke, Bora Uyar and Jonathan Ronen (2021)
  4. Andreas Hill, Alexander Massey, Daniel Mandallaz: The R Package forestinventory: Design-Based Global and Small Area Estimations for Multiphase Forest Inventories (2021) not zbMATH
  5. Arnald Puy, Samuele Lo Piano, Andrea Saltelli, Simon A. Levin: sensobol: an R package to compute variance-based sensitivity indices (2021) arXiv
  6. Barneche DR, Coleman G, Fermor D, Klein E, Robinson T, Smith J, Sheehan JL, Dowley S, Ditton D, Gunn K, Ericson G, Logan M, Rehbein M : dataaimsr: An R Client for the Australian Institute of Marine Science Data Platform API which provides easy access to AIMS Data Platform (2021) not zbMATH
  7. Brandon P.M. Edwards, Adam C. Smith: bbsBayes: An R Package for Hierarchical Bayesian Analysis of North American Breeding Bird Survey Data (2021) not zbMATH
  8. Braun, W. John; Murdoch, Duncan J.: A first course in statistical programming with R (2021)
  9. Daniel Lüdecke, Dominique Makowski, Philip Waggoner, Mattan S. Ben-Shachar: see: An R Package for Visualizing Statistical Models (2021) not zbMATH
  10. Daniel Lüdecke; Mattan S. Ben-Shachar; Indrajeet Patil; Philip Waggoner; Dominique Makowski: performance: An R Package for Assessment, Comparison and Testing of Statistical Models (2021) not zbMATH
  11. David Issa Mattos, Érika Martins Silva Ramos: Bayesian Paired-Comparison with the bpcs Package (2021) arXiv
  12. David J.M. Barnett; Ilja C.W. Arts; John Penders: microViz: an R package for microbiome data visualization and statistics (2021) not zbMATH
  13. Francesco Denti: intRinsic: an R package for model-based estimation of the intrinsic dimension of a dataset (2021) arXiv
  14. Gregor Zens, Sylvia Frühwirth-Schnatter, Helga Wagner: Efficient Bayesian Modeling of Binary and Categorical Data in R: The UPG Package (2021) arXiv
  15. Holbrook, Andrew J.; Loeffler, Charles E.; Flaxman, Seth R.; Suchard, Marc A.: Scalable Bayesian inference for self-excitatory stochastic processes applied to big American gunfire data (2021)
  16. Indrajeet Patil: Visualizations with statistical details: The ggstatsplot approach (2021) not zbMATH
  17. MacFarland, Thomas W.; Yates, Jan M.: Using R for biostatistics (2021)
  18. Manuele Leonelli, Ramsiya Ramanathan, Rachel Wilkerson: Sensitivity and robustness analysis in Bayesian networks with the bnmonitor R package (2021) arXiv
  19. Petricek, Tomas: Composable data visualizations (2021)
  20. Pospiech, Solveig; Tolosana-Delgado, Raimon; van den Boogaart, K. Gerald: Discriminant analysis for compositional data incorporating cell-wise uncertainties (2021)

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