References in zbMATH (referenced in 22 articles )

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  1. Pruim, Randall: Foundations and applications of statistics. An introduction using R (2018)
  2. Baumer, Benjamin S.; Kaplan, Daniel T.; Horton, Nicholas J.: Modern data science with R (2017)
  3. Fox, John: Using the R commander. A point-and-click interface for R (2017)
  4. Gentle, James E.: Matrix algebra. Theory, computations and applications in statistics (2017)
  5. González, Jorge; Wiberg, Marie: Applying test equating methods. Using R (2017)
  6. RESSTE Network et al.: Analyzing spatio-temporal data with R: everything you always wanted to know -- but were afraid to ask (2017)
  7. Starunova, Olga A.; Rudnev, Sergey G.; Starodubov, Vladimir I.: HCViewer: software and technology for quality control and processing raw mass data of preventive screening (2017)
  8. Braun, W. John; Murdoch, Duncan J.: A first course in statistical programming with R. (2016)
  9. Charlie Wusuo Liu: A Novel Algorithm for the Bounded-Error Multidimensional Subset Sum Problem and its Application to the General-Purpose Knapsack Problem: The FLSSS Package for R (2016) arXiv
  10. Dumont, Y.; Thuilliez, J.: Human behaviors: a threat to mosquito control? (2016)
  11. Ekstrøm, Claus Thorn: The R primer (2016)
  12. Francisco Louzada, Anderson Ara: MWStat: A Modulated Web-Based Statistical System (2016) arXiv
  13. Pfaff, Bernhard: Financial risk modelling and portfolio optimization with R (2016)
  14. Cortez, Paulo: Modern optimization with R (2014)
  15. Gandrud, Christopher: Reproducible research with R and RStudio (2014)
  16. Kruschke, John: Doing Bayesian data analysis. A tutorial introduction with R, JAGS, and Stan (2014)
  17. Sill, Martin: Book review of: C. Gandrud, Reproducible research with R and Rstudio. (2014)
  18. Verzani, John: Using R for introductory statistics (2014)
  19. Xie, Yihui; Hofmann, Heike; Cheng, Xiaoyue: Reactive programming for interactive graphics (2014)
  20. Schumacker, Randall; Tomek, Sara: Understanding statistics using R (2013)

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