

The plot is created using the package ggplot2. In this post we'll work with a pre-existing image as well as a dynamically generated plot. Our examples: one pre-existing image and one dynamically generated plot
FIG.ALIGN RMARKDOWN PDF
NOTE 1: This post is focused on the production of HTML documents and some of our conclusions and recommendations may not apply if you're using R Markdown to create a LaTeX document, PDF or Word document.

We assembled this blog post to help guide you through image processing decision-making as you construct your own R Markdown reports. R Markdown offers a wide range of functions and arguments for full control of image sizes but knowing how and when to use them can be daunting particularly given the differences in how external images are handled vs R-generated figures. R Markdown reports that are heavy on graphs and maps, though, can yield large HTML files that are not optimized for web viewing. Writing reports in R Markdown allows you to skip painful and error-prone copy-paste in favor of dynamically-generated reports written in R and markdown that are easily reproducible and updateable.
