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R Markdown Basics Paul Johnson, Director, CR MDA pauljohn@ku.edu Apr. 28, 2020Abstract This discusses the basics of R markdown that are important for authors who want to prepare documents that go
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R Markdown is a powerful tool for creating dynamic reports. It facilitates the integration of R code with markdown text, allowing for the generation of high-quality documents that include code outputs, visualizations, and narrative.
There is no specific filing requirement for R Markdown; it is a tool used by data scientists, researchers, and analysts to document their analyses and share results, rather than a form that needs to be filed.
To create an R Markdown document, one must start with a YAML header, followed by sections for narrative text and R code chunks. Users write in markdown to format text and use R code chunks to include analysis results.
The purpose of R Markdown is to provide an approachable way to produce dynamic and reproducible reports that can communicate results, perform data analysis, and integrate with R’s statistical capabilities.
In an R Markdown document, users typically include textual explanations, results of R code execution, visualizations, and any other relevant data that supports the narrative, though there are no mandatory fields.
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