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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Purpose Can we use use RStudio Connect to build an internal contact form on a {distill} website? {distill} is a great R library for building static websites and blogs but has the same limitations of other static websites, namely no server-side programming. This means that implementing a contact form requires using a …

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This is an initial concept of a framework for multiwindow shiny apps. Shiny is a great R package for building an interactive, web-based, graphical UI using R. It does, however, suffer from some limitations. One of these is the fact that a Shiny app runs in a single browser window. To make a more complex interface we …

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The {tidyselect} package powers column selection for {dplyr}, {tidyr} and {recipes} functions but it's also quite straight-forward to include its functonality in other user-built functions. Here's an example which replaces a percentage of a data frame by NA. It works by using the tidyselect::eval_select function to …

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magrittr is the pipe, commonly used in tidyverse packages, that enables simple sequencing of operators. The simple forward pipe replaces f(x, y) with x %>% f(y). Code becomes much more readable when chaining multiple pipes together. It’s very simple to use this in any package. the usethis package provides a command …

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Generally there is no issue in sending a list of parameters (reactive and non-reactive) to a shiny module. Here's an example where a shiny module would be called multiple times, programatically, where the reactive nature of the parameters may be variable (reactive in one instance but not in another). One way to deal …

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