It is preferable that you use RStudio IDE although not required. If you have two monitors or an extra laptop/desktop computer, then you are encouraged to try some coding yourself as you follow along with the talk.Ĭoding requirements: you will need to be familiar with R, have R and the xaringan & tidy verse R packages installed. appear: Image 1 - Creating a new R Markdown PowerPoint Presentation Give. In order to change the image size in Markdown, you have to use raw HTML. Unfortunately, the syntax does not support resizing image syntax out of the box. In this tutorial talk, I will talk about the capabilities and benefits of using R Markdown to make presentation slides based on the xaringan R-package. With R Markdown, you can easily create reproducible data analysis reports, presentations, dashboards, interactive applications, books, dissertations, websites, and journal articles, while enjoying the simplicity of Markdown and the great power of R and other languages. Copying the YAML header from an R notebook to a R markdown file changes it to. There are a lot of Markdown flavors, but the ones that most of you are familiar with is Github Flavor Markdown (GFM). Why then would we want another tool for presentation? Beamer offers much of the same features as the original LaTeX in addition to special macros handy for presentation purposes and is used often by academics presenting mathematical content. A particular LaTeX document class widely used for making presentation slides is Beamer. LaTeX, built on the TeX typesetting program, allows writing scientific documents with a markup language for structure and styling capabilities for mathematical typesetting ability to add cross-references and citations (though BibTeX or otherwise) and customisation through document classes, packages and macros. If you always use the same modifications with theme() function, I highly suggest that you create your own theme.In many fields, scientific communications and publications are unimaginable without LaTeX. P + theme_bw() + labs(title = "Avec theme_bw()") The default theme used by ggplot2 is theme_gray() but I often switch for theme_bw() (for black and white). All elemements can be changed through the theme() function but there also are pre-configured. Ggplot2 theme manages how your graphic looks like.
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