Whilst working on the blog guide, Stefanie Butland and I consolidated knowledge we had already gained, but it was also the opportunity to up our Rmd/Hugo technical game.Our website uses Hugo but not blogdown 1 to render posts: every post is based on an .md file that is either written directly or knit from an .Rmd file.We wanted to provide clear guidance for both options, and to stick to the well-documented Hugo way of e.g. inserting
Why vitae? The vitae package leverages the dynamic nature of R Markdown to quickly produce and update CV entries from a variety of data sources. With use of the included templates, examples and helper functions, it should be possible to produce a reasonable looking and data-driven CV in less than an hour. Based on the twitter community’s response to the package announcement, CV maintenance is just as unenjoyable for others as it is for me!
Remember our recent post showing that one can wrangle Markdown filesprogrammatically without regex? Thattech note showed how to convert Markdown bodies to XML in order toextract information from them.
You might have read my blog post analyzing the social weather ofrOpenScionboarding,based on a text analysis of GitHub issues. I extracted text out ofMarkdown-formatted threads with regular expressions. I basicallyhammered away at the issues using tools I was familiar with until itworked! Now I know there’s a much better and cleaner way, that I’llpresent in this note. Read on if you want to extract insights abouttext, code, links, etc.
Icons in R Icons can be added to your R Markdown documents using short prefixes which identify the font’s library. fa: Font Awesome ai: Academicons ii: ionicons For example, `r icon::fa("rocket")` can be used to add the rocket icon from Font Awesome. This interface is convenient if you are familiar with the icon you want, or if you are dynamically selecting your icon.
