M17 - Building Interactive Apps with Shiny© in R

Type of Course - Dates - Venue - Description - Target audience - Exam - IMPORTANT: Incorporation in DTP and reimbursement by DS
Course prerequisites - Teacher - Course material - Fees - Enrol

Type of course

 This is an on campus course, with blended learning options.

Dates

Five Tuesday evenings in April and May 2022: April 19 and 26, May 3, 10 and 17, 2022, from 5.30 pm to 9 pm.
Please note: the deadline for UGent PhD students who want a refund to open a dossier on the DS website (Application for Recognition) is March 17, 2022.

Venue

 To be confirmed

Description

Shiny offers the ability to implement interactive interfaces to R code. The framework gained a lot of traction in recent years, and is used to create a wild variety of dashboards.

While many shiny applications run on servers, recent additions make it possible to include interactivity in R notebooks and R Markdown documents, build interfaces into packages or distribute them as github repositories.

In this course we cover the basics of Shiny and reactive programming, the paradigm on which shiny is built.

We cover the following topics:

  • The basics of shiny applications
  • Controlling the layout (front end)
  • Reactive programming (back end)
  • Deployment of shiny apps in different formats
  • Debugging and profiling your code for speed
  • Use of modules (if time allows)

Participants will have ample opportunity to practice hands-on the concepts learnt.

Target audience

This course targets experienced R users who want to provide interfaces to their code, such as researchers, data managers and related professionals from both the academic world and the industry.

Exam

There is no exam connected to this module. Participants receive a certificate of attendance via e-mail at the end of the course.

Incorporation in DTP and reimbursement from DS for UGent PhD students

As a UGent PhD student, to be able to incorporate this course in your Doctoral Training Program (DTP) and get a reimbursement of the registration fee from your Doctoral School (DS) you need to follow strict rules: please take the necessary action in time. The deadline to open a dossier on the DS website (Application for Recognition) for this course is March 17, 2022.

Course prerequisites

The participants are expected to be fluent in R, including the use of functions and visualisation using ggplot. The material covered in Module 15 of this year's program is considered known.

Teacher

Foto Joris MeysJoris Meys is statistical consultant in the Biostatistics Department at the University of Ghent. He is the co-author (with Andrie de Vries) of 'R for Dummies' (Wiley, 2015). Joris Meys is an accomplished R programmer, and produces R packages both for specific research projects and, via R-Forge, for more general application. His statistical expertise is in the areas of ecotoxicology, analysis of environmental data, clinical research and meta analysis.

Course material

  • Exercises and slides provided by the instructor
  • Cheat cheets and online manuals provided by the instructor

Fees

A different price applies, depending on your main type of employment.

Employment Module 17
Private sector/Industry1 600
Non-profit, government, higher education staff2 450
(Doctoral) students, retired, unemployed2 205

1 If two or more employees from the same company enrol simultaneously for this course a reduction of 20% on the module price is taken into account starting from the second enrolment.

2 UGent-personnel and UGent doctoral students who pay internally via SAP or internal transfer can participate at these special rates.

Enrol for this course