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R packages for data science

42 pointsby cl3misch11/26/202517 commentsview on HN

Comments

parsimo2010today at 8:39 PM

I almost wish Hadley had forked R to make the tidyverse. What I usually see are people that start using tidy functions and coding style, but at some point they realize they don’t know how to do something the tidy way or something hasn’t been implemented in a tidy package yet, so they fall back to base R.

Imho, transitioning from tidy to base R makes your code less readable than just using base R throughout.

If the tidyverse were forked and base R functions weren’t available then people would be forced to come up with a different solution and maybe they would stay committed to being tidy. I realize that probably won’t ever happen, there is too much work to reimplement all the missing base R functions.

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realitychk9today at 10:57 PM

is R still a thing? thought the debate was settled in 2010

mushufasatoday at 8:21 PM

To pre-empt critics of R, remember: R is a lisp!

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tanvachtoday at 9:33 PM

A plug for tidyverse adjacent data.table - really should be combined someday :)

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techsystemstoday at 8:02 PM

Use tidytable Much faster, exact same syntax, much smaller member usage

svoittoday at 7:57 PM

The Tidyverse is solid. I sometimes wish I used R more in industry because of how good it is.

IMO, R is kind of a syntactic Frankenstein otherwise.

Tidymodels also exists: https://www.tidymodels.org/

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