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 201 articles , 2 standard articles )

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  1. Cesar Aybar; Qiusheng Wu; Lesly Bautista; Roy Yali; Antony Barja: rgee: An R package for interacting with Google Earth Engine (2020) not zbMATH
  2. Dattner, Itai; Ship, Harold; Voit, Eberhard O.: Separable nonlinear least-squares parameter estimation for complex dynamic systems (2020)
  3. Denis, Daniel J.: Univariate, bivariate, and multivariate statistics using R. Quantitative tools for data analysis and data science (2020)
  4. 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
  5. Emmert-Streib, Frank; Moutari, Salissou; Dehmer, Matthias: Mathematical foundations of data science using R (2020)
  6. Fernando S. Marques, José H. H. Grisi-Filho, Jean C. R. Silva, Erivânia C. Almeida, José L. Silva Júnior: hybridModels: An R Package for the Stochastic Simulation of Disease Spreading in Dynamic Networks (2020) not zbMATH
  7. Foo Cheung; The CHI Consortium: A Figure One Web Tool for Visualization of Experimental Designs (2020) not zbMATH
  8. Gupta, Bhisham C.; Guttman, Irwin; Jayalath, Kalanka P.: Statistics and probability with applications for engineers and scientists using MINITAB, R and JMP (2020)
  9. Halfar, Radek: Effects of age and illness to the complexity of human stabilogram (2020)
  10. Hou, Zhezhi; Jin, Man; Kumbhakar, Subal C.: Productivity spillovers and human capital: a semiparametric varying coefficient approach (2020)
  11. Irizarry, Rafael A.: Introduction to data science. Data analysis and prediction algorithms with R (2020)
  12. Jason Cory Brunson: ggalluvial: Layered Grammar for Alluvial Plots (2020) not zbMATH
  13. Lisa Amrhein, Christiane Fuchs: stochprofML: Stochastic Profiling Using Maximum Likelihood Estimation in R (2020) arXiv
  14. Maria Xose Rodriguez-Alvarez, Vanda Inacio: ROCnReg: An R Package for Receiver Operating Characteristic Curve Inference with and without Covariate Information (2020) arXiv
  15. Martin, Bryan D.; Witten, Daniela; Willis, Amy D.: Modeling microbial abundances and dysbiosis with beta-binomial regression (2020)
  16. Michael David Wilson; Luke Strickland; Timothy Ballard: FIPS: An R Package for Biomathematical Modelling of Human Fatigue Related Impairment (2020) not zbMATH
  17. Neeraj Dhanraj Bokde; Gorm Bruun Andersen: ForecastTB - An R Package as a Test-bench for Forecasting Methods Comparison (2020) arXiv
  18. Roustant, Olivier; Padonou, Espéran; Deville, Yves; Clément, Aloïs; Perrin, Guillaume; Giorla, Jean; Wynn, Henry: Group kernels for Gaussian process metamodels with categorical inputs (2020)
  19. Virta, Joni; Li, Bing; Nordhausen, Klaus; Oja, Hannu: Independent component analysis for multivariate functional data (2020)
  20. von Schroeder, Jonathan; Dickhaus, Thorsten: Efficient calculation of the joint distribution of order statistics (2020)

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