Course Outline

Introduction to R Markdown

  • What is R Markdown and why use it?
  • Installing and configuring R Markdown in RStudio
  • Basic structure of an R Markdown document

Working with Code Chunks

  • Creating and customizing code chunks
  • Controlling output and chunk behavior
  • Embedding plots, tables, and inline R code

Text Formatting and Markdown Syntax

  • Headings, lists, links, and emphasis
  • Tables and images
  • Mathematical notation with LaTeX

Output Formats and Rendering

  • Rendering to HTML, PDF, and Word
  • Using YAML headers to control output
  • Understanding knit process and troubleshooting errors

Advanced Document Features

  • Parameterized reports
  • Conditional content and interactive documents
  • Reusing content with child documents

Customization and Styling

  • Using themes and templates
  • Creating 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 version control
  • Best practices for reproducible reporting

Summary and Next Steps

Requirements

  • An understanding of basic R syntax and functions
  • Familiarity with RStudio environment
  • General knowledge of data analysis workflows

Audience

  • Data analysts and data scientists
  • Researchers and academic professionals
  • Report writers and documentation specialists using R
 14 Hours

Delivery Options

Private Group Training

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  • Customisation of the learning experience to achieve your goals -
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    • Practical hands-on exercises containing data / scenarios recognisable to the learners
  • Training scheduled on a date of your choice
  • Delivered online, onsite/classroom or hybrid by experts sharing real world experience

Private Group Prices RRP from €4560 online delivery, based on a group of 2 delegates, €1440 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.

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