Getting Started
R programming is a programming language with object-oriented features ideal for statistical computing and data visualizations. R programming can do descriptive statistics, inferential statistics, and regression analysis. R programming is a GNU package and
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Getting Started R programming is a programming language with object-oriented features ideal for statistical computing and data visualizations. R programming can do descriptive statistics, inferential statistics, and regression analysis. R programming is a GNU package and is a command line application. RStudio is an integrated development environment (IDE) for R programming. An IDE offers features to help you write code more easily and more productively by providing a code editor, compiler, and debugger. The code editor usually has syntax highlighting and intelligent code completion. In this chapter, you will explore the R programming command line application and the RStudio IDE, and you will install R and RStudio on your computer. You will look into what an IDE is and you will explore the RStudio interface. RStudio and R can read a .csv file easily, perform some descriptive statistics, and plot simple graphs.
What Is R? R programming is for statistical computing and is supported by the R Foundation for Statistical Computing. R programming is used by many academics and researchers for data and statistical analysis, and the popularity of R has risen over time.
© Eric Goh Ming Hui 2019 E. G. M. Hui, Learn R for Applied Statistics, https://doi.org/10.1007/978-1-4842-4200-1_2
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Chapter 2
Getting Started
R is a GNU package and is available under the GNU General Public License, which can be assumed to be free to a certain extent and is open source. R is available in a command line application, as shown in Figure 2-1.
Figure 2-1. The RGui interface R programming is an implementation of the S programming language, its libraries consist of statistical and data visualization techniques, and it can conduct descriptive statistics, inferential statistics, and regressions analysis. You will explore the differences between the R programming command line application and the RStudio IDE, as well as the basics of the descriptive statistics features and the data visualization features.
The Integrated Development Environment An IDE is a software application that helps programmers develop software more easily and more productively. An IDE is made up of a code editor, compiler, and debugger tools. Code editors usually offer syntax highlighting and intelligent code completion. 20
Chapter 2
Getting Started
Some IDEs, like NetBeans, also have an interpreter and others, like SharDevelop, don’t. Some IDEs have a version control system and tools like a graphical user interface (GUI) builder, and many IDEs have class and object browsers. IDEs are developed to increase the productivity of the developer by combining features like a code editor, compiler, debugger, and interpreter. This is different from a programming code text editor like VI and NotePad++, which offer syntax highlighting but usually don’t communicate with the debugger and compiler. The beginning of IDEs can be traced back to when punched cards were submitted to the compiler in early systems. Dartmouth BASIC was the first programming language to be created with a
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