Introduction
Welcome to the R Basics section on Datonovia. This landing page provides an introduction to the fundamental concepts of R programming. Whether you’re new to R or looking to refresh your knowledge, here you’ll find a collection of tutorials designed to build a solid foundation in R.
What You’ll Learn
In this section, you will explore:
Getting Started with R for Data Science:
Learn how to install R, set up RStudio, and get started with basic scripting, along with an introduction to R’s advantages in data science.Syntax and Variables in R:
Understand how to assign variables and work with basic data types in R, including best practices for clear and maintainable code.Data Types and Structures in R:
Explore R’s core data structures such as vectors, lists, data frames, and matrices, and learn when and how to use each effectively.Control Flow and Loops in R:
Discover how to implement conditionals and loops to control the execution of your R code with practical examples.
Why R Basics?
Mastering the basics of R is the first step in your data analysis journey. These tutorials will help you:
- Build confidence in writing R code.
- Understand how to structure and organize your scripts.
- Prepare you for more advanced topics in R programming and data science.
Further Exploration
After completing these fundamentals, consider exploring advanced topics and practical applications in R, including data wrangling, statistical modeling, and interactive visualization.
Happy coding, and enjoy your journey into R programming!
Explore More Articles
Here are more articles from the same category to help you dive deeper into the topic.
Reuse
Citation
@online{kassambara2024,
author = {Kassambara, Alboukadel},
title = {Overview of {R} {Basics}},
date = {2024-02-10},
url = {https://www.datanovia.com/learn/programming/r/basics/index.html},
langid = {en}
}