A Quick Introduction to R

• r_notes

  7 182 4.4

  Personal collection of R notes

> Recycling

https://github.com/karoliskoncevicius/tutorial_r_introductio...

Gotta say this is very elegant.

• tutorial_r_introductio

  1 - -

> Recycling

https://github.com/karoliskoncevicius/tutorial_r_introductio...

Gotta say this is very elegant.

• InfluxDB

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• vim-sendtowindow

  3 89 0.0 Vim Script

  Small vim plugin implementing a send-to-window operator.

I use R with Vim. Usually the R script file is open on top and there is a :terminal window with R running below. And I use a small vim-plugin [1] for sending commands from the editor to the REPL.

This has a few advantages, major being that you can run any language with a dynamic REPL this way, without changing your setup. Or, you can even have two files, written in two different languages, open side by side with a corresponding REPLs running beneath each of them. The downside of course is that you miss on auto-completion and other integrations like that. These are not impossible, but you would have to torture your Vim setup quite a bit in order to implement them.

[1]: https://github.com/karoliskoncevicius/vim-sendtowindow

• diptest

  1 3 3.4 R

  :exclamation: This is a read-only mirror of the CRAN R package repository. diptest — Hartigan's Dip Test Statistic for Unimodality - Corrected. Homepage: https://github.com/mmaechler/diptest Report bugs for this package: https://github.com/mmaechler/diptest/issues

  

In practice the difference is almost non-existent, unless you start doing assignments within function calls, which is a popular style among some R stars, like Martin Machler [1]. But on the other hand some huge names in R resolve to just always use "=" everywhere, including one of R's creators - Ross Ihaka [2].

And anyhow - explaining the difference at that part of the tutorial is not that easy, so I chose to omit it for the time being. But might introduce it later, along with "<<-" and "->>", probably after describing closures.

[1]: https://github.com/cran/diptest/blob/master/R/dipTest.R#L37

[2]: https://www.youtube.com/watch?v=88TftllIjaY&t=2101s

• xlispstat

  2 16 10.0 C

  Luke Tierney's Xlispstat statistical environment

On the other hand, if it were lispiness that was the issue, surely xlispstat would be the winner. I love xlispstat. I used it in grad school in the 1990s and even maintain the github repository https://github.com/jhbadger/xlispstat . But the fact is xlispstat never appealed to the general statistical community and R did.

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