Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
Introduction to R Markdown
- Understanding the purpose and benefits of R Markdown.
- Installation and configuration of R Markdown within RStudio.
- Exploring the fundamental structure of an R Markdown document.
Working with Code Chunks
- Creating and customizing code chunks for specific tasks.
- Managing output and controlling chunk behavior.
- Integrating plots, tables, and inline R code into narratives.
Text Formatting and Markdown Syntax
- Formatting headings, lists, links, and emphasis.
- Incorporating tables and images.
- Utilizing LaTeX for mathematical notation.
Output Formats and Rendering
- Rendering documents to HTML, PDF, and Word formats.
- Utilizing YAML headers to govern output parameters.
- Comprehending the knit process and troubleshooting common errors.
Advanced Document Features
- Developing parameterized reports for varied inputs.
- Implementing conditional content and building interactive documents.
- Reusing content effectively through child documents.
Customization and Styling
- Applying themes and templates for consistent branding.
- Designing custom styles using CSS and LaTeX.
- Adding title pages, tables of contents, and cross-references.
Publishing and Collaboration
- Distributing R Markdown content via Rpubs, GitHub, or personal websites.
- Managing collaboration on documents and version control.
- Adopting best practices for reproducible reporting.
Summary and Next Steps
Requirements
- A solid grasp of basic R syntax and core functions.
- Proficiency in 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 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.
