Articles by Yanir Mor

The Mysterious Ellipsis: Tutorial

October 22, 2018 | Yanir Mor

If you have any basic experience with R, you probably noticed that R uses three dots ellipsis (…) to allow functions to take arguments that weren’t pre-defined or hard-coded when the function was built. Even though R beginners are usually aware of this behavior, especially due to some common functions ...
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Modularize your Shiny Apps: Exercises

October 15, 2018 | Yanir Mor

Shiny modules are short (well, usually short) server and UI functions, that can be connected to each other by a common namespace, and be embedded within a regular Shiny app. You can’t run a Shiny module without a parent Shiny app. The modules can contain both inputs and outputs, ...
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Prettify your Shiny Tables with DT: Exercises

October 8, 2018 | Yanir Mor

Have you ever wanted to make your Shiny tables interactive, more functional and look better? The DT package, which stands for “DataTables”, provides an R interface to the JavaScript library “DataTables”. It allows creating high standard tables by implementing the functionalities and design features that are available through the “DataTables” ...
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Pull the Right Strings with stringr: Exercises

October 1, 2018 | Yanir Mor

By providing a set of wrappers to existing functions, the stringr package allows for simple, consistent and efficient manipulations of strings in R. Even though there are some more basic packages that offer strings-related functions, you might find yourself in need for a more complete and straightforward solution for handling ...
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Step Up your Dashboard with shinydashboard: Exercises (Part-2)

September 17, 2018 | Yanir Mor

The shinydashboard provides a well-designed dashboard theme for Shiny apps, and allows for an easy assembly of a dashboard from a couple of basic building blocks. The package is widely used in commercial environments as well, due to its neat features for building convenient and robust layouts. This exercise set ...
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Harvesting Data From the Web With Rvest: Exercises

August 20, 2018 | Yanir Mor

The rvest package allows for simple and convenient extraction of data from the web into R, which is often called “web scraping.” Web scraping is a basic and important skill that every data analyst should master. You’ll often see it as a job requirement. In the following exercises, you ...
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