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Pegah-Ardehkhani/R-Tutorial

A comprehensive R tutorial repository covering essential programming concepts and practical examples to help you master R programming

R-Tutorial ๐Ÿ‘ฉโ€๐Ÿซ๐Ÿ‘ฉ๐Ÿปโ€๐Ÿ’ป license

Note: This repository is still developing.

Note: These notebooks are written in Google Colab with R runtime. To change the runtime from Python to R, go to the menu, click on Runtime, select Change runtime type, and then choose R from the Runtime type dropdown menu. This allows you to execute R code seamlessly in the Colab environment.

Table of content โœ๏ธ

1. Numbers Open In Colab nbviewer

  • 1.1. Types of Numbers in R
  • 1.2. R Built-in Arithmetic Operators
  • 1.3. R Built-in Arithmetic Functions
  • 1.4. Variable Assignment
  • 1.5. Variable Reassignment
  • 1.6. Determining Variable Type

2. Character Open In Colab nbviewer

  • 2.1. Creating Strings
  • 2.2. Printing Strings
  • 2.3. Built-in String Functions
  • 2.4. String Indexing
  • 2.5. String Formatting

3. Vector Open In Colab nbviewer

  • 3.1. Creating Vectors
  • 3.2. Built-in Vector Functions
  • 3.3. Vector Indexing and Slicing
  • 3.4. Vector Properties

4. List Open In Colab nbviewer

  • 4.1. Creating Lists
  • 4.2. List Indexing and Slicing
  • 4.3. Built-in List Functions
  • 4.4. List Properties

5. Matrix Open In Colab nbviewer

  • 5.1. Creating Matrices
  • 5.2. Built-in Matrix Functions
  • 5.3. Matrix Indexing and Slicing
  • 5.4. Matix Properties

6. Data Frame Open In Colab nbviewer

  • 6.1. Creating Data Frames
  • 6.2. Data Frame Indexing and Slicing
  • 6.3. Built-in Data Frame Functions
  • 6.4. Data Frame Properties

7. Booleans and Comparison Operators Open In Colab nbviewer

  • 7.1. Booleans
  • 7.2. Comparison Operators
  • 7.3. Logical Operators

Languages

Jupyter Notebook100.0%

Contributors

GNU General Public License v3.0
Created October 1, 2024
Updated December 29, 2024
Pegah-Ardehkhani/R-Tutorial | GitHunt