Introduction
After completing data analysis, it is important to document the research results and share the findings with others. The most common methods involve documenting results through text, slides, or web pages. However, these formats are generally limited to only sharing the results and don't often include the research process. As a result, other researchers cannot reproduce the research, making it hard to fully understand how the author conducted the analysis. Without knowing how to replicate the research, the authenticity of the study may be questioned.
R scripts can be used to perform data analysis and generate figures, and it is possible to create a reproducible report by copying all the code and images into a document. However, as this is quite labor intensive, there is a risk of making errors. A better solution is to automate the documentation process. This allows the user to dynamically generate a report, in any format, which records both scripts and the analysis results.
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