Introduction
This topic develops issues raised in Theme 2 of this course Pattern Recognition.
R is a programming language and a software environment for statistical computing and graphics that is supported by the R Foundation for Statistical Computing.[1]
Kurt Hornik and Friedrich Leisch[2] introduce R in the first edition of the R Newsletter. The R Core Team provide a brief background report about R in the newsletter[3]
You can find a detailed description of R on this Wikipedia page.
References
- ↑ Hornik, Kurt (November 26, 2015). “R FAQ”. 2.1 What is R?. https://cran.r-project.org/doc/FAQ/R-FAQ.html#What-is-R_003f. Retrieved 9 February 2016.
- ↑ Hornik, Kurt and Leisch, Friedrich (1 January, 2001). “Editorial”. https://www.r-project.org/doc/Rnews/Rnews_2001-1.pdf. Retrieved 9 February 2016.
- ↑ The R Core Team (1 January, 2001). “What is R?”. https://www.r-project.org/doc/Rnews/Rnews_2001-1.pdf. Retrieved 9 February 2016.
Introduction
This topic develops issues raised in Theme 2 of this course Pattern Recognition.
R is a programming language and a software environment for statistical computing and graphics that is supported by the R Foundation for Statistical Computing.[1]
Kurt Hornik and Friedrich Leisch[2] introduce R in the first edition of the R Newsletter. The R Core Team provide a brief background report about R in the newsletter[3]
You can find a detailed description of R on this Wikipedia page.
References
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