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by baldfat 3816 days ago
Just wanted to see a few. R has such a strong Fortran code base that I knew that they needed to be in R somewhere.

Molecular Dynamic - https://cran.r-project.org/web/packages/bio3d/index.html

computational fluid dynamics - http://search.r-project.org/library/rjacobi/html/xinterp.htm...

finite element method - https://cran.r-project.org/web/packages/RTriangle/RTriangle....

Poisson - https://cran.r-project.org/web/packages/isotone/isotone.pdf
1 comments
semi-extrinsic 3816 days ago
None of those are actually simulation codes. The first and third are pre- and post-processing tools. The second is an interpolation tool. The fourth uses Poisson distributions, which is very different from solving the Poisson equation.
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s_q_b 3816 days ago
We just have a mismatch in the term "scientific programming" based on our perspectives. You seem like you're in the harder sciences in academia, while I'm in data science in industry.

I'll certainly cede the point that there's a great deal of important scientific code in many languages that can't be accessed from R.

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semi-extrinsic 3815 days ago
>We just have a mismatch in the term "scientific programming" based on our perspectives.

Yes, exactly this.

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