Statistical Techniques: Theory and Practice with R Language

Overview

This repository is dedicated to exploring statistical techniques through both theory and practical applications using the R Language. It aims to provide a comprehensive understanding of various statistical methods and their implementation in R.

Purpose

The goal of this repository is to:

• Learn and understand fundamental statistical concepts.
• Apply statistical techniques using R programming.
• Develop practical skills in data analysis and interpretation.

Content

The repository includes:

• Tutorials on various statistical techniques, including:
  • Descriptive Statistics
  • Inferential Statistics
  • Regression Analysis
  • Hypothesis Testing
  • ANOVA
  • Time Series Analysis
• R scripts demonstrating the application of these techniques on real-world datasets.
• Project examples that illustrate the use of statistical methods in different contexts.

Getting Started

Prerequisites

To get started with the materials in this repository, ensure you have the following installed on your computer:

• R
• RStudio

Installation

Clone this repository to your local machine using:

git clone https://github.com/Marki1ins/i-a-with-r-language.git