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Replying to @generativist
R is better if your work output is ideas/communication oriented. Reports, tables, notebooks, graphs etc.
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Replying to @kareem_carr
My Jupyter/Pandoc workflow makes reporting pretty comparable. But, 9/10 times when I come across a really brilliant portrayal of something and try to figure out where it came from, it's R.
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Replying to @generativist @kareem_carr
My dissertation workflow: - Jupyter notebooks for all prose and analysis; - Cells marked with "setup" or "private" don't get included in compilation - Cells marked with "output-generator" included only outputs (graphs, tables, etc) - Files lexicographically sorted and packaged
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Replying to @generativist @kareem_carr
E.G. 01_Motivation/ 02_Design/ 02_Design/001_Title.ipynb etc
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Replying to @generativist @kareem_carr
I have a makefile that turns the whole thing into one PDF and if I want, reruns the whole thing. R has more mature stuff in this area, but the gap between mine is small. But the graphs are so much prettier. (And tables too. I gotta write a package for that. Low hanging fruit.)
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Replying to @generativist @kareem_carr
are you using nbdime (https://nbdime.readthedocs.io/en/ ) so that your version control software can understand your jupyter notebooks? The one thing I like about R Markdown over jupyter is that this minor extra step isn't necessary -- R Markdown/R notebooks are just text.
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Replying to @the_engi_nerd @kareem_carr
I don't that much. I should try it a bit more. Right now, my git hooks rerun my whole project on commit and I use lexicographical sorting for compilation via this package that I wrote,https://github.com/jbn/nbmerge
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Replying to @generativist @the_engi_nerd
I don't trust that guy. Where's his beard?
1 reply 0 retweets 3 likes
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