foreign

foreign: Read Data Stored by Minitab, S, SAS, SPSS, Stata, Systat, dBase, .. , Functions for reading and writing data stored by statistical packages such as Minitab, S, SAS, SPSS, Stata, Systat, ..., and for reading and writing dBase files. (Source: http://cran.r-project.org/web/packages)


References in zbMATH (referenced in 21 articles )

Showing results 1 to 20 of 21.
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  1. Jeffrey W. Hollister, Dorothy Q. Kellogg, Qian Lei-Parent, Emily Wilson, Cary Chadwick, David Dickson, Arthur Gold, Chester Arnold: nsink: An R package for flow path nitrogen removal estimation (2022) not zbMATH
  2. Hay-Jahans, Christopher: R companion to elementary applied statistics (2019)
  3. Dalzell, Nicole M.; Reiter, Jerome P.: Regression modeling and file matching using possibly erroneous matching variables (2018)
  4. Dunn, Peter K.; Smyth, Gordon K.: Generalized linear models with examples in R (2018)
  5. Matter, U.: RWebData: A High-Level Interface to the Programmable Web (2018) not zbMATH
  6. Valliant, Richard; Dever, Jill A.; Kreuter, Frauke: Practical tools for designing and weighting survey samples (2018)
  7. Baumer, Benjamin S.; Kaplan, Daniel T.; Horton, Nicholas J.: Modern data science with R (2017)
  8. Tan, Teck Kiang: Doubly classified model with R (2017)
  9. Templ, Matthias: Statistical disclosure control for microdata. Methods and applications in R (2017)
  10. Ugarte, María Dolores; Militino, Ana F.; Arnholt, Alan T.: Probability and statistics with R (2016)
  11. Ekstrøm, Claus Thorn; Sørensen, Helle: Introduction to statistical data analysis for the life sciences. (2015)
  12. Pierre Bunouf; Geert Molenberghs; Jean-Marie Grouin; Herbert Thijs: A SAS Program Combining R Functionalities to Implement Pattern-Mixture Models (2015) not zbMATH
  13. Valliant, Richard; Dever, Jill A.; Kreuter, Frauke: Practical tools for designing and weighting survey samples (2013)
  14. Wollschläger, Daniel: R compact. The fast introduction into data analysis (2013)
  15. Zhao, Yanchang: R and data mining. Examples and case studies (2013)
  16. Cano, Emilio L.; Moguerza, Javier M.; Redchuk, Andrés: Six Sigma with R. Statistical engineering for process improvement. (2012)
  17. Robinson, Andrew P.; Hamann, Jeff D.: Forest analytics with R (2011)
  18. Williams, Graham: Data Mining with Rattle and R. The art of excavating data for knowledge discovery. (2011)
  19. Wollschläger, Daniel: Foundations of data analysis with R. An application oriented introduction. (2010)
  20. Bivand, Roger S.; Pebesma, Edzer J.; Gómez-Rubio, Virgilio: Applied spatial data analysis with R (2008)

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