R Markdown is known for providing an authoring framework for data science. R Markdown can be used for the following functionality:
- Executing and saving code
- Generating high-quality reports that can be shared with an audience
R Markdown was designed for easy reproducibility with respect to the computing code, and narratives with respect to the code and output that is generated. The results are generated with the respective source code. R Markdown supports a lot of static, dynamic, and interactive output formats. Let's now focus on the installation procedure of R Markdown.
As discussed in the previous chapters, it is assumed that you have already installed RStudio IDE. This IDE is not required but is usually recommended, as it makes it easier for a developer to work with R Markdown.
Please follow these steps to install the rmarkdown package in R:
- To...
