Computer algebra systems in R
Rattachement africain : dk, at, de. Niveau de preuve : code pays fourni par la source.
Le résumé fourni par la source
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.
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Le contrôle bibliographique ouvert
Où se fait cette recherche
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Aalborg University pays non établi dans la noticeUniversité ou école supérieure
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Statistics Austria pays non établi dans la noticeOrganisme public
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Institut für Angewandte Statistik pays non établi dans la noticeStructure de recherche
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Det Ingeniør- og Naturvidenskabelige Fakultet pays non établi dans la noticeInstitution
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Institut for Matematiske Fag pays non établi dans la noticeStructure de recherche
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Statistik/Matematik-Økonomi pays non établi dans la noticeInstitution
Aalborg University, Statistics Austria et Institut für Angewandte Statistik, avec 3 autres affiliations.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.