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 218 articles , 2 standard articles )

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  1. Andersson, Claes; Mrkvička, Tomáš: Inference for cluster point processes with over- or under-dispersed cluster sizes (2020)
  2. Barinder Thind, Sidi Wu, Richard Groenewald, Jiguo Cao: FuncNN: An R Package to Fit Deep Neural Networks Using Generalized Input Spaces (2020) arXiv
  3. Beaulac, Cédric; Rosenthal, Jeffrey S.: BEST: a decision tree algorithm that handles missing values (2020)
  4. Brantley, Halley L.; Guinness, Joseph; Chi, Eric C.: Baseline drift estimation for air quality data using quantile trend filtering (2020)
  5. Cesar Aybar; Qiusheng Wu; Lesly Bautista; Roy Yali; Antony Barja: rgee: An R package for interacting with Google Earth Engine (2020) not zbMATH
  6. Dattner, Itai; Ship, Harold; Voit, Eberhard O.: Separable nonlinear least-squares parameter estimation for complex dynamic systems (2020)
  7. Denis, Daniel J.: Univariate, bivariate, and multivariate statistics using R. Quantitative tools for data analysis and data science (2020)
  8. 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
  9. Emmert-Streib, Frank; Moutari, Salissou; Dehmer, Matthias: Mathematical foundations of data science using R (2020)
  10. 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
  11. Foo Cheung; The CHI Consortium: A Figure One Web Tool for Visualization of Experimental Designs (2020) not zbMATH
  12. Giordani, Paolo; Ferraro, Maria Brigida; Martella, Francesca: An introduction to clustering with R (2020)
  13. Godichon-Baggioni, Antoine; Maugis-Rabusseau, Cathy; Rau, Andrea: Multiview cluster aggregation and splitting, with an application to multiomic breast cancer data (2020)
  14. Gupta, Bhisham C.; Guttman, Irwin; Jayalath, Kalanka P.: Statistics and probability with applications for engineers and scientists using MINITAB, R and JMP (2020)
  15. Hou, Zhezhi; Jin, Man; Kumbhakar, Subal C.: Productivity spillovers and human capital: a semiparametric varying coefficient approach (2020)
  16. Irizarry, Rafael A.: Introduction to data science. Data analysis and prediction algorithms with R (2020)
  17. Izhar Asael Alonzo Matamoros, Alicia Nieto-Reyes: An R package for Normality in Stationary Processes (2020) arXiv
  18. Jason Cory Brunson: ggalluvial: Layered Grammar for Alluvial Plots (2020) not zbMATH
  19. Jouni Helske: Efficient Bayesian generalized linear models with time-varying coefficients: The walker package in R (2020) arXiv
  20. Lebacher, Michael; Thurner, Paul W.; Kauermann, Göran: Exploring dependence structures in the international arms trade network: a network autocorrelation approach (2020)

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