![]() Stack Overflow is a great source of answers to common blogdown questions. The RStudio community is a friendly place to ask any questions about blogdown. Add more content (pages or posts), or migrate your existing website.All you need is its Github user and repository name, to be passed to the theme argument of new_site(). There are two things you may want to do after your first successful experiment with blogdown: You may not be satisfied with the default site created from new_site(). It only understands plain Markdown files, and cannot build R Markdown. ![]() Do not use the command line hugo server to build or serve the site. It builds the website, loads it into your web browser, and automatically refreshes the browser when you update the Markdown or R Markdown files. The function blogdown::serve_site() may be the most frequently used function in this package. If you use RStudio, you can create a new RStudio project for your website from the menu File -> New Project -> New Directory -> Website using blogdown. The website will be automatically rebuilt and the page will be refreshed after you save the file. The sample blog post hello-world.Rmd should be opened automatically, and you can edit it. It will create a skeleton site, download a Hugo theme from Github, add some sample content, launch a web browser and you will see the new site. You may create a new site via the function blogdown::new_site() under an empty directory. Remotes ::install_github( 'rstudio/blogdown ') Usage You can install the package via CRAN as follows: This makes blogdown a good solution not just for blogging or sites about R - it can also be used to create general-purpose websites to communicate about data science, statistics, data visualization, programming, or education. Other website generators like Jekyll and Hexo are also supported.Ī useful feature of blogdown sites, compared to other R Markdown-based websites, is that you may organize your website content (including R Markdown files) within subdirectories. Technical writing elements such as citations, footnotes, and LaTeX math, enabled by the bookdown package.īy default, blogdown uses Hugo, a popular open-source static website generator, which provides a fast and flexible way to build your site content to be shared online. R code (or other programming languages that knitr supports),Īutomatically rendered output such as graphics, tables, analysis results, and HTML widgets, and Use dynamic R Markdown documents to build webpages featuring: Wow, you’re going to make an impression the next time you’re tasked with presenting a report.The goal of the blogdown package is to provide a powerful and customizable website output format for R Markdown. We can see it’s a decorated version of ggplot code that connects the slider widget to the reactive plot. Here’s a snapshot of the code that powers this section of the report. Using shiny requires a bit of reactive programming experience (I teach predictive shiny dashboards and expert shiny with AWS as part of my 5-Course R-Track Program). Using Shiny in Your ReportĪn interactive report that encourages engagement. This has a BIG ADVANTAGE – We can use Shiny in our Report. When we click “Run Document”, a shiny server will run the document instead of a static HTML page is generated. We just simply need to add runtime: shiny to the Rmarkdown Header (YAML). Shiny can be added to Rmarkdown’s HTML report. This gives us advanced control over our analytics. Shiny uses a rendering engine (called shiny server) to power the widgets. This is a shiny widget in an R-Markdown Report. How Shiny in Rmarkdown WorksĬombining Rmarkdown reports with Interactive Shiny Widgets It consolidates the most important R packages (ones I use every day) into 1 cheatsheet. PRO TIP: I’ve streamlined the “Shinyverse” ecosystem on of my Ultimate R Cheatsheet.Īs you follow along, you can use my Ultimate R Cheatsheet. We use Shiny to make our R Markdown Report interactive. ShinyĪn R web framework with a HUGE ECOSYSTEM of interactive widgets, themes, and customizable user interfaces called the “ Shinyverse”. We can quickly convert our analysis to a business report by combining data, text, code, and visualizations. In this weekly R-Tip, we’re making a “ Customer Churn Report” that uses both Rmarkdown (R Report Generator) and Shiny (Interactive Web Framework) to SPICE UP our business reports.Ī great tool for business reporting. (Click image to play tutorial) Powering Rmarkdown Reports with Shiny This article is part of a R-Tips Weekly, a weekly video tutorial that shows you step-by-step how to do common R coding tasks.
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