https://github.com/gvwilson/tidynomicon

R for Python programmers
https://github.com/gvwilson/tidynomicon

Last synced: about 2 months ago
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R for Python programmers

• Host: GitHub
• URL: https://github.com/gvwilson/tidynomicon
• Owner: gvwilson
• License: other
• Created: 2024-01-10T01:19:43.000Z (12 months ago)
• Default Branch: main
• Last Pushed: 2024-01-10T01:20:16.000Z (12 months ago)
• Last Synced: 2024-07-15T14:40:24.263Z (5 months ago)
• Language: HTML
• Size: 48.8 MB
• Stars: 2
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE.md
  • Code of conduct: CODE_OF_CONDUCT.md
  • Citation: CITATION.md

Awesome Lists containing this project

README

        


  
The Tidynomicon

  
A Brief Introduction to R for People Who Count From Zero

  

  
"Speak not to me of madness, you who count from zero."



Years ago,

Patrick Burns wrote *[The R Inferno][r-inferno]*,

a guide to R for those who think they are in hell.

Upon first encountering the language after two decades of using Python,

I thought Burns was an optimist---after all,

hell has rules.

I have since realized that R does too,

and that they are no more confusing or contradictory than those of other programming languages.

They only appear so because R draws on a tradition unfamiliar to those of us raised with derivatives of C.

Counting from one,

copying data rather than modifying it,

lazy evaluation:

to quote [the other bard][pratchett],

these are not mad, just differently sane.

Welcome, then, to a universe where the strange will become familiar,

and everything familiar, strange.

Welcome, thrice welcome, to R.

## Setting Up

1.  Create an account on [rstudio.cloud][rstudio-cloud],

    then create a new project and start typing.

2.  Alternatively:

    1.  [Install R][r-install].

        We recommend that you do *not* use conda, Brew, or other platform-specific package managers to do this,

        as they sometimes only install part of what you need.

    2.  [Install RStudio][rstudio-install].

    3.  In the RStudio console,

        run `install.packages("tidyverse")` to install the tidyverse libraries.

        We will install others as we go along,

        but we're going to need this soon.

Please see [BUILD.md](./BUILD.md) for a description of how to rebuild this lesson

and why it is designed the way it is.

[knitr]: https://yihui.name/knitr/

[kramdown]: https://kramdown.gettalong.org/

[merely-useful]: http://merely-useful.github.io/

[pratchett]: https://www.terrypratchettbooks.com/sir-terry/

[r-inferno]: https://www.burns-stat.com/documents/books/the-r-inferno/

[r-install]: https://cran.rstudio.com/

[rstudio-cloud]: https://rstudio.cloud/

[rstudio-install]: https://www.rstudio.com/products/rstudio/download/