References in zbMATH (referenced in 17 articles )

Showing results 1 to 17 of 17.
Sorted by year (citations)

  1. Baumer, Benjamin S.; Kaplan, Daniel T.; Horton, Nicholas J.: Modern data science with R (2017)
  2. Fox, John: Using the R commander. A point-and-click interface for R (2017)
  3. González, Jorge; Wiberg, Marie: Applying test equating methods. Using R (2017)
  4. Braun, W. John; Murdoch, Duncan J.: A first course in statistical programming with R. (2016)
  5. 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
  6. Dumont, Y.; Thuilliez, J.: Human behaviors: a threat to mosquito control? (2016)
  7. Ekstrøm, Claus Thorn: The R primer (2016)
  8. Francisco Louzada, Anderson Ara: MWStat: A Modulated Web-Based Statistical System (2016) arXiv
  9. Pfaff, Bernhard: Financial risk modelling and portfolio optimization with R (2016)
  10. Cortez, Paulo: Modern optimization with R (2014)
  11. Gandrud, Christopher: Reproducible research with R and RStudio (2014)
  12. Kruschke, John: Doing Bayesian data analysis. A tutorial introduction with R, JAGS, and Stan (2014)
  13. Sill, Martin: Book review of: C. Gandrud, Reproducible research with R and Rstudio. (2014)
  14. Verzani, John: Using R for introductory statistics (2014)
  15. Xie, Yihui; Hofmann, Heike; Cheng, Xiaoyue: Reactive programming for interactive graphics (2014)
  16. Schumacker, Randall; Tomek, Sara: Understanding statistics using R (2013)
  17. Wollschläger, Daniel: R compact. The fast introduction into data analysis (2013)