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 112 articles , 1 standard article )

Showing results 1 to 20 of 112.
Sorted by year (citations)

1 2 3 4 5 6 next

  1. MacFarland, Thomas W.; Yates, Jan M.: Using R for biostatistics (2021)
  2. Nordhausen, Klaus; Fischer, Gregor; Filzmoser, Peter: Blind source separation for compositional time series (2021)
  3. Achim Zeileis, Susanne Köll, Nathaniel Graham: Various Versatile Variances: An Object-Oriented Implementation of Clustered Covariances in R (2020) not zbMATH
  4. Chen, Tuo; Su, Zhihua; Yang, Yi; Ding, Shanshan: Efficient estimation in expectile regression using envelope models (2020)
  5. Giordani, Paolo; Ferraro, Maria Brigida; Martella, Francesca: An introduction to clustering with R (2020)
  6. Maria Xose Rodriguez-Alvarez, Vanda Inacio: ROCnReg: An R Package for Receiver Operating Characteristic Curve Inference with and without Covariate Information (2020) arXiv
  7. Ackerman, Samuel: Consistency of survey opinions and external data (2019)
  8. Becker, Gabriel; Moore, Sara E.; Lawrence, Michael: trackr: a framework for enhancing discoverability and reproducibility of data visualizations and other artifacts in R (2019)
  9. Finch, W. Holmes; Bolin, Jocelyn E.; Kelley, Ken: Multilevel modeling using R (2019)
  10. Giorgio Speranza, Roberto Canteri: RxpsG a new open project for Photoelectron and Electron Spectroscopy data processing (2019) not zbMATH
  11. Hay-Jahans, Christopher: R companion to elementary applied statistics (2019)
  12. Hu, Da-Hai: Local least product relative error estimation for varying coefficient multiplicative regression model (2019)
  13. Murrell, Paul: R graphics (2019)
  14. 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
  15. Tai Sakuma: AlphaTwirl: A Python library for summarizing event data into multivariate categorical data (2019) arXiv
  16. Brown, Jonathon D.: Advanced statistics for the behavioral sciences. A computational approach with R (2018)
  17. Hofert, Marius; Kojadinovic, Ivan; Mächler, Martin; Yan, Jun: Elements of copula modeling with R (2018)
  18. Johannes Graumann, Richard Cotton: multipanelfigure: Simple Assembly of Multiple Plots and Images into a Compound Figure (2018) not zbMATH
  19. Keen, Kevin J.: Graphics for statistics and data analysis with R (2018)
  20. Kim, Janet S.; Staicu, Ana-Maria; Maity, Arnab; Carroll, Raymond J.; Ruppert, David: Additive function-on-function regression (2018)

1 2 3 4 5 6 next