lattice

R package lattice: Lattice Graphics , Lattice is a powerful and elegant high-level data visualization system, with an emphasis on multivariate data, that is sufficient for typical graphics needs, and is also flexible enough to handle most nonstandard requirements. See ?Lattice for an introduction. (Source: http://cran.r-project.org/web/packages)


References in zbMATH (referenced in 86 articles , 1 standard article )

Showing results 1 to 20 of 86.
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  1. Hay-Jahans, Christopher: R companion to elementary applied statistics (2019)
  2. Murrell, Paul: R graphics (2019)
  3. Paul F. Petrowski; Elizabeth G. King; Timothy M. Beissinger: An R Framework for the Partitioning of Linkage Disequilibrium between and Within Populations (2019) not zbMATH
  4. Brown, Jonathon D.: Advanced statistics for the behavioral sciences. A computational approach with R (2018)
  5. Hofert, Marius; Kojadinovic, Ivan; Mächler, Martin; Yan, Jun: Elements of copula modeling with R (2018)
  6. Keen, Kevin J.: Graphics for statistics and data analysis with R (2018)
  7. Stéphanie Bougeard; Stéphane Dray: Supervised Multiblock Analysis in R with the ade4 Package (2018) not zbMATH
  8. Ulrike Grömping: R Package DoE.base for Factorial Experiments (2018) not zbMATH
  9. Ken Beath: randomLCA: An R Package for Latent Class with Random Effects Analysis (2017) not zbMATH
  10. Matthias Templ and Bernhard Meindl and Alexander Kowarik and Olivier Dupriez: Simulation of Synthetic Complex Data: The R Package simPop (2017) not zbMATH
  11. Sebastian Meyer and Leonhard Held and Michael Höhle: Spatio-Temporal Analysis of Epidemic Phenomena Using the R Package surveillance (2017) not zbMATH
  12. Xu, Zheng: Book review of: A. Hector, The new statistics with R. An introduction for biologists (2017)
  13. Atkins, Jamin; Sharma, Davinder Pal: Visualization of babble-speech interactions using Andrews curves (2016) ioport
  14. Daniel Fischer, Alain Berro, Klaus Nordhausen, Anne Ruiz-Gazen: REPPlab: An R package for detecting clusters and outliers using exploratory projection pursuit (2016) arXiv
  15. Ekstrøm, Claus Thorn: The R primer (2016)
  16. Marius Hofert; Martin Mächler: Parallel and Other Simulations in R Made Easy: An End-to-End Study (2016) not zbMATH
  17. Mark O’Connell, Catherine B. Hurley, Katarina Domijan: Conditional Visualization for Statistical Models: An Introduction to the condvis Package in R (2016) arXiv
  18. Matthew Denwood: runjags: An R Package Providing Interface Utilities, Model Templates, Parallel Computing Methods and Additional Distributions for MCMC Models in JAGS (2016) not zbMATH
  19. Russell Lenth: Least-Squares Means: The R Package lsmeans (2016) not zbMATH
  20. Schmitt, Eric; Vakili, Kaveh: The FastHCS algorithm for robust PCA (2016)

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