Abstract
In this chapter, an introduction to the text as a whole and the basics for getting set-up with the R programming language are given.
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Notes
- 1.
An enjoyable and highly recommended biography of Tukey by David Brillinger (a student of his) was recently published by the Annals of Statistics [4].
- 2.
John Tukey in fact split his time between Bell Labs and Princeton during this time.
- 3.
It is called “R” for it is both the “next letter in the alphabet” and the shared initial in the Authors’ names.
- 4.
See www.tiobe.com/index.php/tiobe_index for one such ranking. Exact rankings of programming language use are, however, impossible to produce to everyone’s satisfaction, and results often lead to fairly heated debate. Our point is simply to point out that R is not strictly a tool for a small niche of academic research, but is in fact used quite broadly.
- 5.
We will refer to the language simply as R for the remainder of this text for simplicity and to conform to the majority of other references; this is meant in no way as a lack of appreciation for the historical importance of the original “S”.
References
Richard A Becker and John M Chambers. S: an interactive environment for data analysis and graphics. CRC Press, 1984.
Richard A Becker and John M Chambers. Extending the S system. Wadsworth Advanced Books and Software, 1985.
Richard A Becker, John M Chambers, and Allan Reeve Wilks. The new s language: A programming environment for data analysis and graphics, 1988.
David R Brillinger. John W. Tukey: his life and professional contributions. Annals of Statistics, pages 1535–1575, 2002.
John M Chambers and Trevor J Hastie. Statistical models in S. CRC Press, Inc., 1991.
John W Tukey. Exploratory data analysis. Reading, Ma, 231:32, 1977.
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Arnold, T., Tilton, L. (2015). Set-Up. In: Humanities Data in R. Quantitative Methods in the Humanities and Social Sciences. Springer, Cham. https://doi.org/10.1007/978-3-319-20702-5_1
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DOI: https://doi.org/10.1007/978-3-319-20702-5_1
Publisher Name: Springer, Cham
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