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Course Outline
Introduction to R Markdown
- Overview of R Markdown and its benefits
- Setting up and configuring R Markdown within RStudio
- The fundamental structure of an R Markdown document
Managing Code Chunks
- Creating and adjusting code chunks
- Controlling output visibility and chunk behavior
- Incorporating plots, tables, and inline R code
Text Formatting and Markdown Syntax
- Structuring headings, lists, links, and emphasis
- Integrating tables and images
- Writing mathematical notation using LaTeX
Output Formats and Rendering
- Generating HTML, PDF, and Word outputs
- Utilizing YAML headers to manage output settings
- Navigating the knit process and resolving common errors
Advanced Document Capabilities
- Building parameterized reports
- Implementing conditional content and interactive features
- 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
- Sharing R Markdown files on Rpubs, GitHub, or 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 functions.
- Experience navigating the RStudio environment.
- A general understanding of data analysis workflows.
Target Audience
- Data analysts and data scientists.
- Researchers and academic professionals.
- Report writers and documentation specialists working with 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.
