R Programming tutorial covers Introduction to R, Installation for Windows and Linux or UNIX, Basic Syntax of R, Data Types and Variables, Operators, Decision Making and Loops, Functions, Strings, Vectors, Lists, Matrices, Arrays, Factors, Data Frames, Packages.
Get R Programming Certification in just 16 Hours
Why data scientist are increasingly using R Programming? Find out below :
|R Programming benefits||Description|
|Availability||It is an open source and free software|
|OS support||Supports Windows, LINUX, and Mac|
|R Programming extensions||Able to perform a wide variety of functions such as data manipulation, statistical modeling and graphics.|
|Database support||Certain add-on packages connect R with databases like RODBC, ROracle, etc.|
Download R Programming Interview questions asked by top MNCs in 2017 ?
Known as one of the most widely accepted programming language for statistical analysis and software environment, R programming has following unique features:
- Able to connect to relational databases like MySQL, Oracle, SQL Server, etc.
- Functions and codes are stored in a package inside a library
- Data can be reshaped to match the required format.