Why package a plumber API? There are many advantages to building R-based code as a package. You can use the DESCRIPTION file to store metadata related to the API, separate functions from endpoints in the R/ folder, include documentation and run tests. In this example we'll build a simple plumber API as a package. The …

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Metadata can be included in the yaml header of an RMarkdown document. The yaml can store metadata in the params parameter or as individual yaml parameters. For example, the RMarkdown file below adds some metadata parameters to the header: short_title, reference and meta_list. The rmarkdown function rmarkdown::metadata …

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This post describes three ways to tag functions with metadata. Attributes Using attributes is a simple way to add metadata to any object in R. Data frames and other objects already use attributes to hold metadata which are accessible via the attributes function. 1df <- data.frame(a = 1:5, b = letters[1:5]) 2 3## …

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This post expands upon the post on {distill} Comments. It includes a method to reply to comments and store comments and replies in an hierarchical manner. In the previous post I covered how we could use RStudio Connect to manage commenting on a static blog. Here we extend it, adding a way to reply to comments and store …

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Following on from a post on including a contact form on a {distill} site hosted on RStudio Connect, here's a post on how to include comments in blog posts. Commenting consists of two parts - a way to retrieve comments that belong to a page and a form to enter new comments. In this implementation I connect a {distill} …

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Here's something I've discovered that may save a huge amount of time in future development. I'm working on a shiny app that uses reads parameters from a json file and generates a series of plots from the data. It would be great to use a hot reload during the development phase so that edits to the json file can be …

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This is a simple shiny app that demonstrates dynamic shiny tabs. Each tab contains a shiny module which returns a series of data parameters and tabs can be added and removed. In one use-case this construct was used in three higher level tabs, returning a complex, nested structure. Code is available at: …

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{learnr} is an R package from RStudio which uses R Markdown to create interactive tutorials. Once completed, the tutorial can be published via shiny server or RStudio Connect. As a {learnr} markdown file contains its own yaml header it cannot be directly included in a website built by distill. It can, however, be …

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An earlier post described a multiwindow shiny app that demonstrated how three shiny apps could be handled by a fourth with data passing between them. This extends the concept, running all apps on RStudio Connect and manages the communication using the {pins} library. Data is passed between the apps using a json file …

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Introduction Here's a simple example of working with a reactive R6 in a shiny app. It is inspired by a post to RStudio Community (https://community.rstudio.com/t/good-way-to-create-a-reactive-aware-r6-class/84890) and uses the code provided by Winston Chang to create an R6 class that is reactive. The example code is …

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