Think Tplyr can’t shine in late phase development? This presentation from rstudio::conf(2022) guides you through the novel and dynamic functionalities of Tplyr, a package built specifically to maximize the use of your metadata when building tables for late phase studies. Tplyr 1.0.0 uses automation and algorithms to instantly correct small errors in each data set and provide precise traceability for every datapoint. The result is a reusable framework that transforms complex clinical reporting into a simple and empowering process.

Michael Stackhouse, chief innovation officer at Atorus Research, and Jessica Higgins, Ph.D., director of Analytics Engineering at Atorus Research, kickoff a presentation on the cutting-edge R mechanics that make these functionalities possible, further elaborating on how these new features will be most useful in the clinical world.

Atorus is a leader in open-source data analytics and your guide to the most advanced technologies in the life sciences industry.

Back to Resources