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 105 articles , 1 standard article )

Showing results 1 to 20 of 105.
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  1. MacFarland, Thomas W.; Yates, Jan M.: Using R for biostatistics (2021)
  2. Achim Zeileis, Susanne Köll, Nathaniel Graham: Various Versatile Variances: An Object-Oriented Implementation of Clustered Covariances in R (2020) not zbMATH
  3. Chen, Tuo; Su, Zhihua; Yang, Yi; Ding, Shanshan: Efficient estimation in expectile regression using envelope models (2020)
  4. Giordani, Paolo; Ferraro, Maria Brigida; Martella, Francesca: An introduction to clustering with R (2020)
  5. Maria Xose Rodriguez-Alvarez, Vanda Inacio: ROCnReg: An R Package for Receiver Operating Characteristic Curve Inference with and without Covariate Information (2020) arXiv
  6. Ackerman, Samuel: Consistency of survey opinions and external data (2019)
  7. Finch, W. Holmes; Bolin, Jocelyn E.; Kelley, Ken: Multilevel modeling using R (2019)
  8. Giorgio Speranza, Roberto Canteri: RxpsG a new open project for Photoelectron and Electron Spectroscopy data processing (2019) not zbMATH
  9. Hay-Jahans, Christopher: R companion to elementary applied statistics (2019)
  10. Hu, Da-Hai: Local least product relative error estimation for varying coefficient multiplicative regression model (2019)
  11. Murrell, Paul: R graphics (2019)
  12. 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
  13. Tai Sakuma: AlphaTwirl: A Python library for summarizing event data into multivariate categorical data (2019) arXiv
  14. Brown, Jonathon D.: Advanced statistics for the behavioral sciences. A computational approach with R (2018)
  15. Hofert, Marius; Kojadinovic, Ivan; Mächler, Martin; Yan, Jun: Elements of copula modeling with R (2018)
  16. Johannes Graumann, Richard Cotton: multipanelfigure: Simple Assembly of Multiple Plots and Images into a Compound Figure (2018) not zbMATH
  17. Keen, Kevin J.: Graphics for statistics and data analysis with R (2018)
  18. Stéphanie Bougeard; Stéphane Dray: Supervised Multiblock Analysis in R with the ade4 Package (2018) not zbMATH
  19. Ulrike Grömping: R Package DoE.base for Factorial Experiments (2018) not zbMATH
  20. Chen, Ding-Geng (Din); Peace, Karl E.; Zhang, Pinggao: Clinical trial data analysis using R and SAS (2017)

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