Theme = 'kakawait/hugo-tranquilpeak-theme',Ī few things happen upon running the above code:īlogdown will add all the required Hugo components to the previously empty directory, displaying the progress in your R consoleĪn example RMarkdown post will be created and opened automatically # Create new site in our recently cloned blogdown repository
yaml file and set the format argument accordingly. Once you select a theme for your site, checkout the GitHub repo for the theme and determine whether the theme file is a. Using toml is actually the default setting but I wanted to point it out because the config.toml is important for customizing your website. We’ll also set the format argument to format = 'toml' to tell blogdown that we want to use toml for our site’s config file. Let’s try the Tranquilpeak theme theme, which we specify with theme = 'kakawait/hugo-tranquilpeak-theme', which is just the GitHub user and repo name for the theme. Check out Hugo’s theme gallery for a ton of options. Like install_hugo(), blogdown provides the handy new_site() function to automatically create the required Hugo structure for your website in the (empty) directory you specify.Īnother great feature of this function is that you can use the theme argument to specify the theme you want for your website and blogdown will download all necessary files into the new site directory it creates.
Rmarkdown github pages generator#
Hugo is an open-source static site generator similar to Jekyll, which means it builds your website once rather than each time a user visits it by taking all files within the website’s directory and rendering a complete website. blogdown is a R package that combines the ease of RMarkdown with the flexibility and customizability of Hugo. Though still in the early beta stage, blogdown checked all the boxes I was looking for. Getting setup was a breeze but found the blogging capability to be lackingĮnter blogdown, the new brainchild of Yihui Xi. The installation and dependencies (e.g. Ruby) were more complicated than I wanted and I was hoping for a more direct integration of R into the workflow While I won’t go into all the details of this process, the cliff notes are as follows:
However, I didn’t quite know where to start and spent most of 2016 scoping different platforms.
So, I created a StackOverflow account and decided to start my own data science blog. It didn’t take long to realize that this generally brought me to one of two destinations - StackOverflow or ’s blog.
Rmarkdown github pages code#
When I first started learning to code in R, Google was (and still is) my go-to when I had a question.
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