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 Duration 14 hours (2 days)

Course Outline

Introduction to R Markdown

  • Defining R Markdown and exploring its advantages
  • Installation and configuration of R Markdown within RStudio
  • Understanding the basic architecture of an R Markdown document

Manipulating Code Chunks

  • Creating and fine-tuning code chunks
  • Managing output visibility and chunk execution behavior
  • Incorporating plots, tables, and inline R expressions

Text Formatting and Markdown Syntax

  • Applying headings, lists, hyperlinks, and emphasis
  • Inserting tables and visual elements
  • Utilizing LaTeX for mathematical notation

Output Generation and Rendering

  • Producing final outputs in HTML, PDF, and Word formats
  • Leveraging YAML headers to dictate output characteristics
  • Comprehending the knitting process and resolving common errors

Advanced Document Capabilities

  • Building parameterized reports
  • Implementing conditional content and interactive features
  • Reusing content through child documents

Personalization and Styling

  • Applying predefined themes and templates
  • Developing custom styles using CSS and LaTeX
  • Configuring title pages, tables of contents, and cross-references

Publishing and Collaborative Workflows

  • Distributing R Markdown content via Rpubs, GitHub, or personal websites
  • Collaborating on documents and managing version control
  • Adopting best practices for reproducible reporting

Summary and Future Directions

Requirements

  • A solid grasp of fundamental R syntax and core functions
  • Comfort with the RStudio development environment
  • General familiarity with data analysis workflows

Target Audience

  • Data analysts and data scientists
  • Researchers and academic professionals
  • Documentation specialists and report writers leveraging R

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

2026-10-27 09:30
14 hours
The Hsinchu Wishun centre
19800 NT$ (Online)
19800 NT$ (Classroom)

R Markdown for Dynamic Documents and Reproducible Reporting

2026-11-10 09:30
14 hours
Taipei, Aurora
19800 NT$ (Online)
19800 NT$ (Classroom)

R Markdown for Dynamic Documents and Reproducible Reporting

2026-11-24 09:30
14 hours
Taipei- Concord
19800 NT$ (Online)
19800 NT$ (Classroom)

R Markdown for Dynamic Documents and Reproducible Reporting

2026-12-08 09:30
14 hours
Taipei Walsin Xinyi
19800 NT$ (Online)
19800 NT$ (Classroom)

R Markdown for Dynamic Documents and Reproducible Reporting

2026-12-22 09:30
14 hours
Taichung, Global
19800 NT$ (Online)
145800 NT$ (Classroom)

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