lattice

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 34 articles , 1 standard article )

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  1. Atkins, Jamin; Sharma, Davinder Pal: Visualization of babble-speech interactions using Andrews curves (2016) ioport
  2. Daniel Fischer, Alain Berro, Klaus Nordhausen, Anne Ruiz-Gazen: REPPlab: An R package for detecting clusters and outliers using exploratory projection pursuit (2016) arXiv
  3. Ekstrøm, Claus Thorn: The R primer (2016)
  4. Faragó, Csaba: Case study for the vudc R Package (2016)
  5. Schmitt, Eric; Vakili, Kaveh: The FastHCS algorithm for robust PCA (2016)
  6. Cichosz, Paweł: Data mining algorithms. Explained using R (2015)
  7. Claudio Agostinelli, Alfio Marazzi, Victor Yohai, Alex Randriamiharisoa: Robust Estimation of the Generalized Loggamma Model. The R Package robustloggamma (2015) arXiv
  8. Heiberger, Richard M.; Holland, Burt: Statistical analysis and data display. An intermediate course with examples in R (2015)
  9. Maj-Kańska, Aleksandra; Pokarowski, Piotr; Prochenka, Agnieszka: Delete or merge regressors for linear model selection (2015)
  10. Conti, Gabriella; Frühwirth-Schnatter, Sylvia; Heckman, James J.; Piatek, Rémi: Bayesian exploratory factor analysis (2014)
  11. Daniel Kosiorowski, Zygmunt Zawadzki: DepthProc An R Package for Robust Exploration of Multidimensional Economic Phenomena (2014) arXiv
  12. Finch, W. Holmes; Bolin, Jocelyn E.; Kelley, Ken: Multilevel modeling using R (2014)
  13. Geraci, Marco; Bottai, Matteo: Linear quantile mixed models (2014)
  14. Lamigueiro, Oscar Perpiñán: Displaying time series, spatial, and space-time data with R (2014)
  15. Blake MacDoanld, Hugh Chipman, Pritam Ranjan: GPfit: An R package for Gaussian Process Model Fitting using a New Optimization Algorithm (2013) arXiv
  16. Gałecki, Andrzej; Burzykowski, Tomasz: Linear mixed-effects models using R. A step-by-step approach (2013)
  17. Jones, Geoff: Book review of: D. Rizopoulos, Joint models for longitudinal and time-to-event data. With applications in R (2013)
  18. Kuhn, Max; Johnson, Kjell: Applied predictive modeling (2013)
  19. Nina Golyandina, Anton Korobeynikov, Alex Shlemov, Konstantin Usevich: Multivariate and 2D Extensions of Singular Spectrum Analysis with the Rssa Package (2013) arXiv
  20. Zhao, Yanchang: R and data mining. Examples and case studies (2013)

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