**knitr** options (chunk options, hooks, package options. An output format is an abstraction in **rmarkdown** as a uniform (programming) interface to deal with The Non-Designer’s Design Book is a great place to start.Class: center, middle, inverse, title-slideįit knitr ->.
It will help you create dashboards that are truly useful, not just pretty to look at.Įffectively communicating your ideas often benefits from some knowledge of graphic design.
If you are creating a lot of dashboards, make sure to read Stephen Few’s Information Dashboard Design: The Effective Visual Communication of Data. I haven’t taken it myself, but I’ve heard good things about Matt McGarrity’s online course on public speaking. If you give academic talks, I recommend reading the Leek group guide to giving talks. It provides a set of effective patterns (both low- and high-level) that you can apply to improve your presentations. To improve your presentation skills, I recommend Presentation Patterns, by Neal Ford, Matthew McCollough, and Nathaniel Schutta. To learn more about effective communication in these different formats I recommend the following resources: Rmdshower,, provides a wrapper around the shower,, presentation engine Revealjs::revealjs_presentation - HTML presentation with reveal.js. Two other popular formats are provided by packages:
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Slidy_presentation - HTML presentation with W3C Slidyīeamer_presentation - PDF presentation with LaTeX Beamer. Ioslides_presentation - HTML presentation with ioslides R Markdown comes with three presentation formats built-in:
You can also insert a horizontal rule ( ***) to create a new slide without a header. Presentations work by dividing your content into slides, with a new slide beginning at each first ( #) or second ( #) level header.
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You get less visual control than with a tool like Keynote or PowerPoint, but automatically inserting the results of your R code into a presentation can save a huge amount of time. You can also use R Markdown to produce presentations. Learning Git and GitHub is definitely painful at first, but the collaboration payoff is huge.Īs mentioned earlier, Git and GitHub are outside the scope of the book, but there’s one tip that’s useful if you’re already using them: use both html_notebook and github_document outputs: If this starts to happen, it’s a good time to learn Git and GitHub. nb.html files is a simple way to share analyses with your colleagues.īut things will get painful as soon as they want to make changes. In the future, you will also be able to include supporting files (e.g.csv data files), which will be automatically extracted when needed.Įmailing. nb.html file, RStudio will automatically recreate the. Unlike html_document, this rendering always includes an embedded copy of the source code that generated it. You can view it in a web browser, and see the rendered output. nb.html generated by the notebook in two ways:
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These different purposes lead to using the HTML output in different ways.īoth HTML outputs will contain the fully rendered output, but the notebook also contains the full source code. The rendered outputs are very similar, but the purpose is different.Ī html_document is focused on communicating with decision makers, while a notebook is focused on collaborating with other data scientists. A notebook, html_notebook, is a variation on a html_document.
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