R Academy · Lesson

R Markdown Basics

Create reproducible reports by combining text, code, and outputs in a single document.

Lesson 1 of 310 steps

R Markdown Basics is a free R Academy lesson on CoddyKit. This is lesson 1 of 3. Any 3 lessons of this learning path are free to read in full — after that, CoddyKit PRO unlocks every lesson, plus hands-on practice with a built-in code editor and a 24/7 AI tutor. It is part of the R Academy learning path, and your progress syncs across the web and the CoddyKit app. The R Academy course includes 3 lessons in total.

Introduction to R Markdown

R Markdown is a powerful tool for creating dynamic reports that combine code, text, and visualizations in a single document.

R Markdown Basics — illustration 1

Installing R Markdown

Before using R Markdown, install and load the package.

install.packages('rmarkdown')
library(rmarkdown)

Creating an R Markdown File

To create a new R Markdown document in RStudio:

  • Go to File → New File → R Markdown...
  • Select a title and output format (HTML, PDF, or Word).

Basic Structure of an R Markdown File

An R Markdown document consists of three main sections:

  • YAML Header: Contains metadata (title, author, date).
  • Markdown Content: Includes formatted text.
  • Code Chunks: Runs R code inside the document.
---
title: 'My Report'
author: 'John Doe'
date: '2025-03-10'
output: html_document
---

Adding Code Chunks

Use triple backticks (```{r}) to add R code chunks inside an R Markdown file.

```{r}
summary(mtcars)
```

Rendering an R Markdown Document

Click the Knit button in RStudio to convert the document into an HTML, PDF, or Word file.

Adding Plots

R Markdown allows embedding plots directly within documents.

```{r}
plot(mtcars$mpg, mtcars$hp, main='MPG vs Horsepower')
```

Exporting Reports

R Markdown allows exporting reports in multiple formats, including HTML, PDF, and Word.

R Markdown Summary

Summary

In this lesson, you learned:

  • How to create and structure an R Markdown document.
  • How to add code chunks and plots.
  • How to render and export reports in different formats.
R Markdown Basics — illustration 10
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Frequently Asked Questions

Is the “R Markdown Basics” lesson free?

Yes — any 3 lessons of the R Academy learning path, including “R Markdown Basics”, are free to read in full here on the web. After that, CoddyKit PRO unlocks every lesson, plus interactive practice with a built-in code editor and a 24/7 AI tutor. The R Academy course includes 3 lessons in total.

What will I learn in “R Markdown Basics”?

Create reproducible reports by combining text, code, and outputs in a single document. You practise R Academy with hands-on code you run directly in the browser, and a 24/7 AI tutor answers your questions as you work through the lesson.

Do I need any experience to start R Academy?

No prior experience is required. R Academy on CoddyKit is structured for beginners through advanced learners, so you can start here or from the beginning and move at your own pace. This is lesson 1 of 3.

How long does the “R Markdown Basics” lesson take?

Most CoddyKit lessons take about 5–10 minutes. Each one is bite-sized and interactive, so you make steady progress and pick up exactly where you left off across the web and the app.

Can I write and run code in this R Academy lesson?

Yes. Every R Academy lesson includes a built-in code editor, so you write and run real code right in your browser and get instant AI feedback — no local setup required.

All lessons in this course

  1. R Markdown Basics
  2. Introduction to Shiny Apps
  3. Deployment and Best Practices
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