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Course Outline
Introduction to R Markdown
- Understanding R Markdown and its benefits.
- Installing and configuring R Markdown within RStudio.
- The basic structure of an R Markdown document.
Working with Code Chunks
- Creating and customising code chunks.
- Managing output and chunk behaviour.
- Embedding plots, tables, and inline R code.
Text Formatting and Markdown Syntax
- Headings, lists, links, and emphasis.
- Incorporating tables and images.
- Mathematical notation using LaTeX.
Output Formats and Rendering
- Rendering documents to HTML, PDF, and Word.
- Utilising YAML headers to control output settings.
- Comprehending the knit process and troubleshooting errors.
Advanced Document Features
- Creating parameterized reports.
- Conditional content and interactive documents.
- Reusing content through child documents.
Customization and Styling
- Applying themes and templates.
- Designing custom styles with CSS and LaTeX.
- Title pages, table of contents, and cross-references.
Publishing and Collaboration
- Publishing R Markdown to Rpubs, GitHub, or websites.
- Collaborating on documents and using version control.
- Best practices for reproducible reporting.
Summary and Next Steps
Requirements
- A solid grasp of basic R syntax and functions.
- Familiarity with the RStudio environment.
- General knowledge of data analysis workflows.
Target Audience
- Data analysts and data scientists.
- Researchers and academic professionals.
- Report writers and documentation specialists utilising 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.
