Introduction
Welcome to the R Programming section on Datonovia. This is your one-stop resource for learning R—from foundational concepts for beginners to advanced techniques for experienced users. Whether you’re just starting out or looking to deepen your knowledge, our tutorials cover everything from basic syntax and data manipulation to advanced modeling, visualization, and tool integration.
What You’ll Learn
R Basics:
Start your journey with essential R concepts including installation, basic syntax, variable assignment, and control structures.Advanced R Topics:
Dive deeper into functional programming, tidyverse techniques, error handling, debugging, vectorization, parallel computing, and package development.Data Science with R:
Explore practical applications of R in data science, covering data wrangling with dplyr, data visualization with ggplot2, and statistical modeling with lm() and glm().R Tools:
Discover key tools to enhance your R workflows, including automated reporting with RMarkdown, interactive dashboards with Shiny, and web scraping with rvest.
Why Learn R?
R is a powerful language for data analysis, statistical modeling, and visualization. Its extensive ecosystem and community support make it an ideal choice for data scientists and researchers. With our comprehensive resources, you can build reproducible and robust data analysis workflows.
Getting Started
If you’re new to R, we recommend beginning with the R Basics section. For those looking to expand their skills, explore our advanced topics and data science applications.
Happy coding, and enjoy your journey into the world of R programming!
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Citation
@online{kassambara2024,
author = {Kassambara, Alboukadel},
title = {Overview of {R} {Programming}},
date = {2024-02-10},
url = {https://www.datanovia.com/learn/programming/r/index.html},
langid = {en}
}