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PROGRAMMING IN R

PROGRAMMING IN R. Introduction to R. Introduction to R. In this session I will: Introduce you to the R program and windows Show how to install R Write basic programs in R. Introduction to R. R is available at the following website: http://www.r-project.org /

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PROGRAMMING IN R

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  1. PROGRAMMING IN R Introduction to R

  2. Introduction to R In this session I will: • Introduce you to the R program and windows • Show how to install R • Write basic programs in R

  3. Introduction to R • R is available at the following website: http://www.r-project.org/ • You can download R by clicking on the “Down Load” link. • We will demonstrate this later in this video.

  4. Introduction to R • There is an introduction to R available on the CRAN R-project website. http://cran.r-project.org/doc/manuals/R-intro.pdf • I recommend downloading this document and getting acquainted with it.

  5. Introduction to R • R is an environment for statistical computing, data analysis, and graphics • We will use R for describing and analyzing data • Being proficient in using R for statistical computing and analysis a skill that is highly valued in multiple arenas

  6. R Environment • R is an extremely capable environment. • The differences between R and SAS are too enumerable to describe. • R is similar to the S language developed at Bell Laboratories. • R can be challenging to learn but practice will make it easier.

  7. R Environment • There are three basic components to the R environment or R console. • R Commands window or Prompt– executes the commands. • Script Window – a program editor provided by R. • Graphics Window – an output window that displays graphics.

  8. R Environment • R is an expression language • It is case sensitive • A and a are two different symbols • Refer to different variables. • Elementary commands consist of either expressions or assignments.

  9. R Environment • Expressions • Given as a command, is evaluated, printed, and the value is lost. • Assignments • Evaluates the expression and passes the value to a variable • The result is not printed.

  10. R Environment • The R environment also has many different ways to store data. • R is an object oriented language so everything is stored as an object. • In this session, we will define the various types of objects but we will only use 2 of these types.

  11. R variables. • There are different types of objects or ways to store variables. • Vectors • Lists • Functions • For now, we will only work with Vectors.

  12. Introduction to R • Let’s install R.

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