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Course Outline
Introduction to R Markdown
- An overview of R Markdown and its utility.
- Steps for installing and configuring R Markdown within RStudio.
- The foundational structure of an R Markdown document.
Managing Code Chunks
- Creating and customizing individual code chunks.
- Controlling output behavior and chunk settings.
- Integrating plots, tables, and inline R code.
Text Formatting and Markdown Syntax
- Applying headings, lists, links, and text emphasis.
- Incorporating tables and images.
- Using LaTeX for mathematical notation.
Output Formats and Rendering
- Rendering documents to HTML, PDF, and Word formats.
- Utilizing YAML headers to manage output properties.
- Understanding the knitting process and resolving common errors.
Advanced Document Features
- Building parameterized reports.
- Implementing conditional content and interactive elements.
- Reusing content through child documents.
Customization and Styling
- Applying themes and templates.
- Developing custom styles using CSS and LaTeX.
- Adding title pages, tables of contents, and cross-references.
Publishing and Collaboration
- Publishing R Markdown content to Rpubs, GitHub, or personal websites.
- Collaborating on documents and managing version control.
- Best practices for maintaining reproducible reporting standards.
Summary and Next Steps
Requirements
- A solid grasp of fundamental R syntax and core functions.
- Comfort with navigating the RStudio environment.
- General awareness of standard data analysis workflows.
Target Audience
- Data analysts and data scientists.
- Researchers and professionals in academia.
- Report writers and documentation specialists utilizing R.
14 Hours
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.
