Fast Lane to Learning R

This page summarizes the projects mentioned and recommended in the original post on news.ycombinator.com
#Book #bookdown #Data Science #R

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  • fasteR

    Fast Lane to Learning R! (by matloff)

  • R-vs.-Python-for-Data-Science

  • JetBrains

    Developer Ecosystem Survey 2022. Take part in the Developer Ecosystem Survey 2022 by JetBrains and get a chance to win a Macbook, a Nvidia graphics card, or other prizes. We’ll create an infographic full of stats, and you’ll get personalized results so you can compare yourself with other developers.

  • r4ds

    R for data science: a book

    Those interested in R with tidyverse may find "R for Data Science" (https://r4ds.had.co.nz) to be a valuable resource.

  • db-benchmark

    reproducible benchmark of database-like ops

    I strongly recommend data.table R. Tidyverse is an improvement on base R, no question. Data.table has less intuitive syntax and can be harder to learn, but is lightning fast and memory efficient. If you're working with more than 1M rows, you should be using data.table.

    Here are some benchmarks: https://h2oai.github.io/db-benchmark/

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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