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 94 articles , 1 standard article )

Showing results 1 to 20 of 94.
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  1. Chen, Tuo; Su, Zhihua; Yang, Yi; Ding, Shanshan: Efficient estimation in expectile regression using envelope models (2020)
  2. Ackerman, Samuel: Consistency of survey opinions and external data (2019)
  3. Hay-Jahans, Christopher: R companion to elementary applied statistics (2019)
  4. Hu, Da-Hai: Local least product relative error estimation for varying coefficient multiplicative regression model (2019)
  5. Murrell, Paul: R graphics (2019)
  6. 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
  7. Tai Sakuma: AlphaTwirl: A Python library for summarizing event data into multivariate categorical data (2019) arXiv
  8. Brown, Jonathon D.: Advanced statistics for the behavioral sciences. A computational approach with R (2018)
  9. Hofert, Marius; Kojadinovic, Ivan; Mächler, Martin; Yan, Jun: Elements of copula modeling with R (2018)
  10. Keen, Kevin J.: Graphics for statistics and data analysis with R (2018)
  11. Stéphanie Bougeard; Stéphane Dray: Supervised Multiblock Analysis in R with the ade4 Package (2018) not zbMATH
  12. Ulrike Grömping: R Package DoE.base for Factorial Experiments (2018) not zbMATH
  13. Ken Beath: randomLCA: An R Package for Latent Class with Random Effects Analysis (2017) not zbMATH
  14. Matthias Templ and Bernhard Meindl and Alexander Kowarik and Olivier Dupriez: Simulation of Synthetic Complex Data: The R Package simPop (2017) not zbMATH
  15. Sebastian Meyer and Leonhard Held and Michael Höhle: Spatio-Temporal Analysis of Epidemic Phenomena Using the R Package surveillance (2017) not zbMATH
  16. Tan, Teck Kiang: Doubly classified model with R (2017)
  17. Templ, Matthias: Statistical disclosure control for microdata. Methods and applications in R (2017)
  18. Xu, Zheng: Book review of: A. Hector, The new statistics with R. An introduction for biologists (2017)
  19. Atkins, Jamin; Sharma, Davinder Pal: Visualization of babble-speech interactions using Andrews curves (2016) ioport
  20. Daniel Fischer, Alain Berro, Klaus Nordhausen, Anne Ruiz-Gazen: REPPlab: An R package for detecting clusters and outliers using exploratory projection pursuit (2016) arXiv

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