For instance, after computing the main descriptive statistics and plotting some graphs, you can interpret them in the context of your problem and highlight important findings.
#Rmarkdown list code
This allows readers to follow your code and to check that the analyses were correctly performed. For instance, the data and the functions you used. R code to show how the analyses have been done.The first main advantage of using R Markdown over R is that, in a R Markdown document, you can combine three important parts of any statistical analysis: Rmd, while a R script file has the extension.
Even if you never expect to present the results to someone else, it can also be used as a personal notebook to look back so you can see what you did at that time. The generated documents can serve as a neat record of your analysis that can be shared and published in a detailed and complete report. R Markdown allows to generate a report (most of the time in PDF, HTML, Word or as a beamer presentation) that is automatically generated from a file written within RStudio.
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