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jdpye edited this page Dec 1, 2021
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- www.r-project.org: R is a free software environment for statistical computing and graphics. It compiles and runs on a wide variety of UNIX platforms, Windows and MacOS.
- It includes a GUI interface for Windows (Mac?, Linux?), but it's quite rudimentary. You might (will probably) like RStudio better.
- Download R for Windows, MacOS
- Free & very capable environment for working with R. Seems to be a defacto standard for many.
- Download R first, see above.
- RStudio: You want RStudio Desktop / Open Source Edition.
These books are free to read online, but you can also purchase them in digital and paper formats:
- Home page: r-datatable.com. Lots of great resources including presentations and videos.
- Check out the data.table vignettes, especially Introduction to data.table
- Nice and very recent presentation THE #RDATATABLE PACKAGE + new developments in v1.10.0
- Search for data.table on R-Bloggers
- stackover info page for data.table
- Cheat sheet
- Concept is that most data manipulation and cleaning can be boiled down to a set of verbs
- The use of action verbs and piping with descriptive variable naming leads to very readable code output.
- CRAN Intro to dplyr and vignettes
- A workflow for data manipulation, tidying, processing with dplyr
- PDF Cheatsheet for dplyr/tidyr
- shiny.rstudio.com
- Good for putting R-based analysis tools on the internet, where people can interact through a web browser without having to know or install R
- Also good for developing GUI-based tools for use from within R-Studio
- Getting this shined up and ready for CRAN will involve some work, and this sheet has a good breadth of coverage
- Also lots of devtools info in the book R Packages
- R-Bloggers: R news and tutorials contributed by (750+) R bloggers