R Programming language Tutorial
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Job SearchWhat is R?
R is a programming language and software environment useful for statistical analysis, graphics representation and reporting. R programming was designed by Ross Ihaka and Robert Gentleman at the University of Auckland, New Zealand, and is currently developed by the R Development Core Team.
R is freely available language with GNU General Public License, and pre-compiled binary versions are provided for various operating systems like Linux, Windows and Mac.
R 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.
Audience
R Programming tutorial is designed for software programmers, statisticians and data miners who are looking forward for developing statistical software using R programming. If you are a beginner for this course then 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.
Prerequisites
To learn R Programming tutorial, one should have a basic understanding of Computer Programming terminologies. It would be helpful if you have basic knowledge of any of the programming languages to learn R programming concepts and move fast on the learning track.
How to execute R Online?
You will find many examples in this tutorial, Here you can execute your R programs at the spot and enjoy your learning.
Try it with below mentioned code:
R Programming language Tutorial: List of Topics
- R Programming Language
- R Overview
- R Environment Setup
- R Basic Syntax
- R Data Types
- R Variables
- R Operators
- R Decision Making
- R Loops
- R Functions
- R Strings
- R Vectors
- R Lists
- R Matrices
- R Arrays
- R Factors
- R Data Frames
- R Packages
- R Databases
- R Charts & Graphs Pie Charts
- R Charts & Graphs Bar Charts
- R Charts & Graphs Boxplots
- R Charts & Graphs Histograms
- R Charts & Graphs Line Graphs
- R Charts & Graphs Scatterplots
- R Data Interfaces Csv Files
- R Data Interfaces Excel File
- R Data Interfaces Binary Files
- R Data Interfaces Xml Files
- R Data Interfaces Json Files
- R Data Interfaces Web Data
- R Data Interfaces Databases
- R Mean, Median & Mode
- R Linear Regression
- R Multiple Regression
- R Logistic Regression
- R Normal Distribution
- R Binomial Distribution
- R Poisson Regression
- R Analysis Of Covariance
- R Time Series Analysis
- R Nonlinear Least Square
- R Decision Tree
- R Random Forest
- R Survival Analysis
- R Chi Square Test
