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:

References in zbMATH (referenced in 269 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. Braun, W. John; Murdoch, Duncan J.: A first course in statistical programming with R. (to appear) (2021)
  8. 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
  9. David Issa Mattos, Érika Martins Silva Ramos: Bayesian Paired-Comparison with the bpcs Package (2021) arXiv
  10. David J.M. Barnett; Ilja C.W. Arts; John Penders: microViz: an R package for microbiome data visualization and statistics (2021) not zbMATH
  11. Francesco Denti: intRinsic: an R package for model-based estimation of the intrinsic dimension of a dataset (2021) arXiv
  12. Gregor Zens, Sylvia Frühwirth-Schnatter, Helga Wagner: Efficient Bayesian Modeling of Binary and Categorical Data in R: The UPG Package (2021) arXiv
  13. 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)
  14. Indrajeet Patil: Visualizations with statistical details: The ggstatsplot approach (2021) not zbMATH
  15. MacFarland, Thomas W.; Yates, Jan M.: Using R for biostatistics (2021)
  16. Pospiech, Solveig; Tolosana-Delgado, Raimon; van den Boogaart, K. Gerald: Discriminant analysis for compositional data incorporating cell-wise uncertainties (2021)
  17. Pratheesh P. Gopinath, Rajender Parsad, Brigit Joseph, Adarsh V. S: grapesAgri1: Collection of Shiny Apps for Data Analysis in Agriculture (2021) not zbMATH
  18. Raim, Andrew M.; Holan, Scott H.; Bradley, Jonathan R.; Wikle, Christopher K.: Spatio-temporal change of support modeling with \textttR (2021)
  19. Sam Parsons: splithalf: robust estimates of split half reliability (2021) not zbMATH
  20. Sy Han Chiou, Gongjun Xu, Jun Yan, Chiung-Yu Huang: Regression Modeling for Recurrent Events Using R Package reReg (2021) arXiv

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