![]() A basic understanding of any of the programming languages will help you in understanding the R programming concepts and move fast on the learning track. Prerequisitesīefore proceeding with this tutorial, you should have a basic understanding of Computer Programming terminologies. If you are trying to understand the R programming language as a beginner, this tutorial will give you enough understanding on almost all the concepts of the language from where you can take yourself to higher levels of expertise. This tutorial is designed for software programmers, statisticians and data miners who are looking forward for developing statistical software using R programming. This programming language was named R, based on the first letter of first name of the two R authors (Robert Gentleman and Ross Ihaka), and partly a play on the name of the Bell Labs Language S. R is freely available under the GNU General Public License, and pre-compiled binary versions are provided for various operating systems like Linux, Windows and Mac. RStudio is more than simply a graphical user interface (GUI) for R it is an open source integrated development environment (IDE) that includes a console. You will learn the R skills needed to answer essential questions about. You can better retain R when you learn it to solve a specific problem, so you’ll use a real-world dataset about crime in the United States. R was created by Ross Ihaka and Robert Gentleman at the University of Auckland, New Zealand, and is currently developed by the R Development Core Team. The first in our Professional Certificate Program in Data Science, this course will introduce you to the basics of R programming. R is a programming language and software environment for statistical analysis, graphics representation and reporting. PDF Version Quick Guide Resources Job Search Discussion
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