🧠 R Programming – Academic Repository

Welcome to the R Programming Repository maintained by Prof. Anjit Raja R, Department of Computer Science.
This repository is designed exclusively for academic learning and practical exploration of the R programming language.

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📘 About This Repository

This repository provides purely program-based notes covering all 5 Units of the R Programming syllabus.
Each unit contains structured programs, outputs, and explanations to help students understand R concepts effectively.

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🧩 Units Covered

Unit	Title	Description
Unit I	Introduction to R	Basics of R, Data Types, Vectors, Scalars, Declarations, Vectorized Operations
Unit II	Control Structures & Functions	Conditional Statements, Loops, Built-in Functions, User-defined Functions
Unit III	Data Structures & File Handling	Arrays, Lists, Matrices, Data Frames, Reading/Writing Files
Unit IV	Classes and Objects in R	S3 & S4 Classes, Object Management, Input/Output Operations
Unit V	Modelling in R	Statistical Modelling, Linear/Non-linear Models, Time Series, Clustering, Parallel R

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🚀 How to Use

You can access and run the programs in multiple environments:

Option 1 – Google Colab (Recommended)

1. Open Google Colab.
2. Change runtime to R (Runtime → Change runtime type → R).
3. Copy the code from any .ipynb notebook in this repository.
4. Execute cells to view results interactively.

Option 2 – RStudio

1. Download the .R files or clone this repository:

   git clone https://github.com/anjitresearch/R-Programming.git
   

Open files in RStudio and run scripts directly.

🎯 Objectives

To provide a hands-on learning environment for R programming.

To enhance students’ understanding of statistical and data-driven programming.

To support academic projects and practical examinations.

To promote self-learning and exploration through open resources.

🧪 Sample Output

Each notebook includes sample outputs for better conceptual clarity. Students are encouraged to modify inputs and explore variations.

📂 Repository Structure R-Programming/ │ ├── Unit1_Introduction_to_R/ ├── Unit2_Control_Structures_and_Functions/ ├── Unit3_Data_Structures_and_File_Handling/ ├── Unit4_Classes_and_Objects/ ├── Unit5_Modelling_in_R/ └── README.md

🧑‍🏫 Maintainer

Prof. Anjit Raja R

“Learning R is not just about coding — it’s about discovering insights through data.” — Prof. Anjit Raja R

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🌟 Acknowledgment

Special thanks to all students and collaborators who contribute to making this repository a valuable learning resource for the academic community.