Features of R Notebook and R Markdown
- Interactive widgets are offered by both R Notebook and R Markdown, allowing users to manipulate and interact with data directly within the document using features such as sliders, drop-down lists, and buttons. This capability can improve the user experience and promote more adaptable data exploration and analysis.
- R Notebook and R Markdown facilitate the inline execution of R code, which allows users to insert code into markdown or text elements and run it directly within the document. This feature enables the creation of self-contained, dynamic documents that can be easily edited and updated.
- R Notebook and R Markdown utilize code caching to enhance performance and minimize execution time. This technique involves storing previously executed code in memory and reusing it as needed, which can be especially advantageous for lengthy or computationally intensive analyses.
- R Notebook and R Markdown are constructed using the Knitr package, which offers robust capabilities for producing top-notch reports and documents from R code. Knitr empowers users to generate personalized output formats, integrate external data sources, and seamlessly incorporate them with various tools and platforms.
- R Notebook and R Markdown provide abundant options for customization and theming, enabling users to adjust the design and functionality of their documents according to their preferences. This includes the capacity to customize fonts, colors, and styles, as well as to integrate logos, headers, and footers.
Difference Between R MarkDown and R NoteBook
In this article, we will learn about two very commonly used R interfaces that is R MarkDown and R Notebook then we will also compare the two to analyze the difference between the two.