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Most R novices will start with the introductory session in Appendix A. This should give some familiarity with the style of R sessions and more importantly some instant feedback on what actually happens. Many users will come to R mainly for its graphical facilities. See Chapter 12 [Graphics],
R is a system for statistical analyses and graphics created by Ross Ihaka and Robert Gentle-man1. R is both a software and a language considered as a dialect of the language S created by the AT&T Bell Laboratories. S is available as the software S-PLUS commercialized by Insightful2.
CHAPTER 1. An Introduction to. R. 1.1 What is R? The R system for statistical computing is an environment for data analysis and graphics.
to R. It includes the basic R operations such as package installations, data manipulations, data analyses and graphics with R. If you are not able to find the answer to your questions, there are also many other resources you could turn to. We list some of them below.
Introduction to R. Alex Storer. Harvard MIT Data Center. January 16, 2013. e Institute. for Quantitative Social Science at Harvard University. Outline. Introduction. Starting R and Using the GUI. Finding Help. Vectors and Functions. Data Frames. Loading and Saving Data. Basic Statistics and Graphs. Wrap-up. Topic. Introduction.
Congratulations on deciding to learn the R programming language. Learning R will give you a whole new set of tools with which to manipulate, analyze, compare, and view data. R is designed primarily for use in statistics, but it is useful regardless of which scientific discipline you are pursuing.
R can be used both as a programming language and as a software package which you can use to manipulate your data, perform calculations, conduct statistical analyses and display graphics.