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Course Outline

Introduction to R Markdown

  • Understanding R Markdown and its benefits
  • Installing and configuring R Markdown within RStudio
  • Exploring the basic structure of an R Markdown document

Working with Code Chunks

  • Creating and customizing code chunks
  • Managing output and controlling chunk behavior
  • Incorporating plots, tables, and inline R code

Text Formatting and Markdown Syntax

  • Applying headings, lists, links, and emphasis
  • Integrating tables and images
  • Using LaTeX for mathematical notation

Output Formats and Rendering

  • Rendering documents to HTML, PDF, and Word
  • Utilizing YAML headers to dictate output settings
  • Comprehending the knit process and resolving common errors

Advanced Document Features

  • Developing parameterized reports
  • Implementing conditional content and interactive documents
  • Reusing content via child documents

Customization and Styling

  • Applying themes and templates
  • Designing custom styles using CSS and LaTeX
  • Adding title pages, tables of contents, and cross-references

Publishing and Collaboration

  • Deploying R Markdown to Rpubs, GitHub, or websites
  • Collaborating on documents and managing version control
  • Adopting best practices for reproducible reporting

Summary and Next Steps

Requirements

  • A solid grasp of basic R syntax and core functions
  • Comfort with the RStudio environment
  • General awareness of data analysis workflows

Target Audience

  • Data analysts and data scientists
  • Researchers and academic professionals
  • Report writers and documentation specialists utilizing R
 14 Hours

Number of participants


Price per participant

Open Training Courses require 5+ participants.

Testimonials (3)

a multitude of points

Joanna - Instytut Ekonomiki Rolnictwa i Gospodarki Zywnosciowej-PIB
Course - Statistical Analysis with Stata and R

knowledge of the trainer, tailor based, all topics covered

eleni - EUAA
Course - Forecasting with R

The real life applications using Statcan and CER as examples.

Matthew - Natural Resources Canada
Course - Data Analytics With R

Upcoming Courses

R Markdown for Dynamic Documents and Reproducible Reporting

2026-10-29 09:30
14 hours
Thessaloniki
608 EUR (Online)
608 EUR (Classroom)

R Markdown for Dynamic Documents and Reproducible Reporting

2026-11-12 09:30
14 hours
Nicosia
608 EUR (Online)
608 EUR (Classroom)

R Markdown for Dynamic Documents and Reproducible Reporting

2026-11-26 09:30
14 hours
Nicosia
608 EUR (Online)
1008 EUR (Classroom)

R Markdown for Dynamic Documents and Reproducible Reporting

2026-12-10 09:30
14 hours
Athens
608 EUR (Online)
1008 EUR (Classroom)

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