Hi, There is a new package published on CRAN called symengine (I am the maintainer). That might be suitable for your need.
Best, Jialin On Thursday, May 14, 2020 2:00:20 PM EDT Jeff Newmiller wrote: > FWIW I have found all such tools to require babysitting... and for > interactive use I prefer wxMaxima and some manual translation to R. > On May 14, 2020 10:50:56 AM PDT, Eric Berger <ericjber...@gmail.com> wrote: > >Hi Christofer, > >Look at https://cran.r-project.org/web/views/NumericalMathematics.html > >and within that page search for Symbolic Mathematics. It shows two > >packages: Ryacas and rSymPy. > >I have no experience with them but they may be a good place to start. > > > >HTH, > >Eric > > > > > >On Thu, May 14, 2020 at 8:43 PM Christofer Bogaso < > > > >bogaso.christo...@gmail.com> wrote: > >> Hi, > >> > >> I was wondering if R can perform notational derivative something like > >> Mathematica does as explained in > >> https://reference.wolfram.com/language/howto/TakeADerivative.html > >> > >> Any pointer will be highly appreciated. > >> > >> Thanks, > >> > >> ______________________________________________ > >> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > >> https://stat.ethz.ch/mailman/listinfo/r-help > >> PLEASE do read the posting guide > >> http://www.R-project.org/posting-guide.html > >> and provide commented, minimal, self-contained, reproducible code. > > > > [[alternative HTML version deleted]] > > > >______________________________________________ > >R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > >https://stat.ethz.ch/mailman/listinfo/r-help > >PLEASE do read the posting guide > >http://www.R-project.org/posting-guide.html > >and provide commented, minimal, self-contained, reproducible code. ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.