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R Programming Tutorial

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R programming tutorial is designed for beginners and experts. This tutorial gives you knowledge of all concepts of that programming language.

R language tutorial covers all the basic and advanced concepts of R, including introduction, features, installation, variables, data types, operators, if statements, vectors, data handling, graphics, and statistical modeling.

What is R Programming?

R is a programming language and also a software environment for statistical computing and data analysis. R was developed by Ross Ihaka and Robert Gentleman at the university of Auckland, New Zealand. R is an open-source programming language and it is available on widely used platforms e.g. Windows, Linux, and Mac. It generally comes with a command-line interface and provides a vast list of packages for performing tasks. R is an interpreted language that supports both procedural programming and object-oriented programming.

Recent Articles on R!

Table of Content


Fundamentals of R


Input and Output

Decision Making

Control Flow


Data Structures

Introduction to Data Structures


>>> More Functions on Strings


>>> More Functions on Vectors


>>> More Functions on Lists


>>> More Functions on Arrays


>>> More Functions on Matrices


>>> More Functions on Factors


>>> More Functions on DataFrames

Object Oriented Programming

>>> More Functions on R Objects

Error Handling

File Handling

Packages in R

Data Interfaces

Data Visualization


Machine Learning with R

Applications of R programming language

  • R is used in wide range of industries for example academics, government, insurance, retail, energy, media, technology, and electronics.
  • R helps in importing and cleaning data and data analysis.
  • R is used in data science. R language provides us many libraries for data science e.g. Dplyr, Ggplot2, shiny, Lubridate, Knitr, Caret, Janitor.

FAQs on R Programming Language

Q.1 What is Rstudio ?


Rstudio is the IDE for programming in R. It is used to write scripts, access files, and make graphics. It is widely used in data science, machine learning, and research.

Q.2 What are some popular packages in R?


R include ggplot2 the packages for data visualization, dplyr for data manipulation, tplyr for data cleaning.

Q.3 What’s the difference between R and Python?


R programming Python programming
Data visualization libraries and tools are good in R language. R has poor data visualization than python.
Production is poor than python. Production is better than R.
Model Interpretability is good in R programming language. Model Interpretability is not good in python.
R has relative complex syntax and learning. Syntax is simple in python.
R is used when the data analysis process requires analysis and processing. Python is used when the data analysis process require integrated with web applications.
Model creation is similar to Python. Model creation is similar to R.

Q.4 Which is more demanding language? Python or R?


R has more demand than Python in Data science. Specific skills are needed in compare to Python which is a multi-purpose language.


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Last Updated : 18 Apr, 2023
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