R Tutorial

R is an interpreted programming language widely used for statistical computing, data analysis and data visualization. It is especially popular among data scientists, statisticians and researchers for handling and analyzing structured data efficiently.

Open-source language with strong community support
Rich ecosystem of packages like dplyr, ggplot2, shiny and janitor
Provides tools for data manipulation, analysis and visualization

Hello World Program in R Language

Here is an example of the first Hello World program in R Programming Language. To print in R language you just need to use a Print function.

print("Hello World!")

Output

Hello World!

Installation and Setup

This section explains how to install R and RStudio and how to create and run your first R script.

Fundamentals of R

This section covers the basic syntax, operators and core programming concepts required to start coding in R.

Data Structures

This section explains how R stores and organizes data using vectors, lists, matrices, data frames and other structures.

Control Flow

This section covers conditional statements and loops used to control the execution of R programs.

Functions & Object Oriented Programming

This section explains how to create reusable functions and introduces basic object-oriented concepts in R.

File and Error Handling

This section covers reading and writing files and handling errors to make programs more robust.

Data Visualization

This section introduces plotting techniques and popular libraries used to create charts and graphs in R.

Statistics, Data Science & Machine Learning

This section covers statistical methods and basic machine learning techniques available in R.

Popular Packages in R

This section highlights important R packages that enhance data analysis, visualization and modeling.

Projects In R

This section provides practical project ideas to apply R concepts in real-world scenarios.