View Submission - COMPSTAT2023

A0363
**Title: **Computer algebra systems in R
**Authors: **Mikkel Meyer Andersen - Department of Mathematical Sciences Aalborg University (Denmark)

Soeren Hoejsgaard - Aalborg University (Denmark)**[presenting]**

**Abstract: **R's ability to do symbolic mathematics is largely restricted to finding derivatives. There are many tasks involving symbolic math that are of interest to R users, e.g. inversion of symbolic matrices, limits and solving non-linear equations. Users must resort to other computer algebra systems (CAS) for such tasks, and many R users(especially outside of academia) do not readily have access to such software. There are also other indirect use cases of symbolic mathematics in R that can exploit other strengths of R, including Shiny apps with auto-generated mathematics exercises. We maintain two R-packages that enable symbolic mathematics in R: Ryacas and caracas. Ryacas is based on Yacas (Yet Another Computer Algebra System), and caracas is based on SymPy (Python library). Each has its advantages: Yacas is extensible and has a close integration to R, which makes auto-generated mathematics exercises easy to make.SymPy is feature-rich and thus gives many possibilities. We will discuss the two packages and demonstrate various use-cases, including uses that help to understand statistical models of Shiny apps with auto-generated mathematics exercises.

Soeren Hoejsgaard - Aalborg University (Denmark)