Drill Down Summary Tables in Shiny with Tplyr

Drill Down Summary Tables in Shiny with Tplyr

Mike Stackhouse

By R/Pharma

Date and time

Wed, Oct 26, 2022 9:00 AM - 1:00 PM EDT

Location

To be announced

About this event

This workshop will walk through the new addition of drill down capabilities in the pharmaverse package Tplyr. We’ll explore the underlying structure of how Tplyr produces data, and how metadata are captured behind the scenes to support traceability of results. To put everything into perspective, as a participant you will create your very own Shiny applications that leverage Tplyr’s drill down capabilities, to show how you as a developer can create your very own click-through tables to view underlying results.

Prerequisites: R fundamentals, a basic understanding of R’s different object types and how to interact with then (i.e. accessing elements within lists), basics of Shiny

Workshop Presenter Bios:

Mike Stackhouse is the Chief Innovation Officer of Atorus Research. Mike is a 2020 UC Berkeley School of Information Master of Information and Data Science (MIDS) program graduate. Mike and his team at Atorus have been actively developing and releasing open-source R packages, such as pharmaRTF and Tplyr. Within industry, Mike sits on the council of Pharmaverse, as well as the board of the CDISC Open Source Alliance (COSA), and co-leads the PHUSE working group Data Visualization and Open Source Technology.

Eli Miller works at Atorus as an Lead Cloud Solutions Architect. He began his career after graduating from the University of Wisconsin at Madison with a BS in Economics-Math. He collaborates in several industry groups in PHUSE, CDISC, and PharmaR and works to solve problems of validation, visualization, standards development, acceptance of open-source tools, and many others. Eli took his first programming steps with Java and graduated to R and Python when he started exploring data science. He is also experienced in Continuous Integration, Continuous Deployment, and Docker Containers and has successfully deployed these tools at Atorus.

Andrew is a data scientist at Atorus Research. He specializes in R and it’s intersection with web technologies. He builds tools to enable analysts to focus on their problems, not their code. Andrew is passionate about open-source software and it’s potential in pharma.

Organized by

Zoom info will be sent via email closer to the event. Please contact R/Pharma via Eventbrite if you do not see the Zoom info 1 day before the workshop.

R in Pharma Free Workshops run Oct 16-20th, Oct 23rd & Oct 27th! The full list is here: https://rinpharma.com/workshop/2023conference/

The gathering is Oct 24-26 2023. Be sure to register here: https://hopin.com/events/r-pharma-2023/registration

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