You really don't need to worry about all those packages in the beginning. Base R has all of the functionality you need to get you started. Then, when you actually need additional functions, you can search for this functionality on the Web, on CRAN, by asking on this helpful list, or on your favourite community forum. Actually downloading and installing packages is very quick, there's no benefit to pre-loading things you don't actually need.
Bottom line: don't view this from the perspective of resources, see it from the perspective of what you want to do. Cheers, Boris > On 2020-11-16, at 20:02, ELLENBERGER Mihaela via R-help > <r-help@r-project.org> wrote: > > EXTERNAL EMAIL: Treat content with extra caution. > > ________________________________ > Von: ELLENBERGER Mihaela > Gesendet: Montag, 16. November 2020 10:24 > An: cran-submissi...@r-project.org > Betreff: Packegs for mathematics > > > Hello > > > I'm undergraduated student of Biomedical Sciences in Switzerland and learning > how to work with R. > > Currently I'm using R-Studio. > > > I would like to now, which packeges sholud I install please for mathematics ( > analysis)? > > My collegeues don't use all the same maths software ( some of them are using > Excel, SPSS, Mathematica, etc.) > > > -Funktionen,Serien, Folgen,Grenzwerte, Stetigkeiten > > -Integralrechnungen > > -Differentialrechnungen > > -Analysis multivariant > > > Could you sent me an advice please, because there are so many packeges in R. > > > Kind regards > > > Mihaela Ellenberger > > > > > [[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.
