![]() Many conferences only officially support Powerpoint, and in the event of a technical issue you may find yourself all alone.It’s a strong start but definitely needs work. If you plan to take the slide show to a conference, you might want to double check the conference guidelines. ![]() The beauty of Slidify and RStudio Presentations are that you can concentrate on the content, and for the most part all of the other layers take care of themselves. Aspects such as slide transitions are controlled via pre-written javascript functions. Most of the design formatting within the framework is done with Cascading Style Sheets (CSS) CSS is yet another metadata language that provides instruction to the web browser about how to visually render HTML, and it can control everything from text color to image animations. The framework controls things like the slide size and shape, the text size on the slide, and the transitions between slides. One of the parameters specified by the user via YAML is the framework, which is a “structure layer” that dictates display (specifically, it guides the interpretation of R Markdown into HTML). YAML can be considered an “intermediary layer” between the content and the display. The YAML is written at the front (top) of the document in a special metadata section, and it is also sprinkled between slides. There are a couple of parameters that the user specifies to control the overall look of the presentation, and the look of each slide these parameters are specified using YAML (YAML Aint Markup Language yes, the Y in YAML stands for YAML), which is a human-readable way to pass data from a human to a computer. For example, the “content layer” is specified in R Markdown, which is then automatically converted to HTML, which can be considered the “display layer”. Onions have layers, ogres have layers, and now slideshows in R have layers. In this way, slideshows in R are like Ogres they have layers. There’s a lot more to a slideshow than people think. Take note that much of what will occur in this chapter focuses on how to make a slideshow from R Markdown, and the implication is that you will use this process to insert plots, figures, and tables into a slideshow as well as occasionally using R Markdown to make references to values as inline code.Ī slide show created with R Markdown results from the integration of multiple programming and markup languages, and the introduction of several new terms can be confusing at first. You probably won’t actually do your data analysis inside a presentation Rmd file, but once you are comfortable with the process you will be able to convert csv files to charts and tables much faster and more flexibly than with a Powerpoint presentation. 14.3.8 Inserting plots into your slideshowīy now you have seen that R Markdown is a simple step in the quest for reproducible research and literate programming so in the words of Ron Popeil: but wait, there’s more! You can also use R Markdown to create HTML5 slide shows analogous to those created in Microsoft Powerpoint or LibreOffice Impress (don’t tell me this is the first time you’ve heard of it?).14.3.7 Specifying absolute location on the slide for text or images.14.3.6 Bootstrap widget for cycling images on a slide.14.3.4 Adding a slide background color or image.14.3.1 A quick overview of HTML syntax, and where to store your customizations.13.8.5 Adding Towns from Shapefile Attributed Table.13.8.3 Adding New Columns To A Data Frame. ![]()
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