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,
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.christofer at 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 at 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]]
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 <ericjberger at 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.christofer at 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 at 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 at 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.-- Sent from my phone. Please excuse my brevity.
On 14/05/2020 1:50 p.m., Eric Berger 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.There's also `D` and related functions in base R. Duncan Murdoch> > HTH, > Eric > > > On Thu, May 14, 2020 at 8:43 PM Christofer Bogaso < > bogaso.christofer at 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 at 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 at 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. >