https://github.com/jfeldhege/r_resources
A collection of resources for R
https://github.com/jfeldhege/r_resources
git github quarto r rlanguage shiny tidyverse
Last synced: 4 months ago
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A collection of resources for R
- Host: GitHub
- URL: https://github.com/jfeldhege/r_resources
- Owner: jfeldhege
- License: mit
- Created: 2023-08-03T07:32:15.000Z (almost 3 years ago)
- Default Branch: main
- Last Pushed: 2023-12-15T08:48:25.000Z (over 2 years ago)
- Last Synced: 2024-01-26T09:42:57.600Z (over 2 years ago)
- Topics: git, github, quarto, r, rlanguage, shiny, tidyverse
- Homepage:
- Size: 10.7 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# R resources
## Online books about R
- [Mastering Shiny](https://mastering-shiny.org/index.html)
- [R for Data Science (2e)](https://r4ds.hadley.nz/)
- [Best Practices for Data Visualisation](https://royal-statistical-society.github.io/datavisguide/)
- [What They Forgot to Teach You About R](https://rstats.wtf/)
- [Tidy Text Mining](https://www.tidytextmining.com/)
- [Happy Git with R](https://happygitwithr.com/)
- [Tidy Modeling with R](https://www.tmwr.org/)
- [R Packages](https://r-pkgs.org/)
- [Advanced R](http://adv-r.had.co.nz/Introduction.html)
- [R Workflow for Reproducible Data Analysis and Reporting](https://hbiostat.org/rflow/)
## Blogs
- [RWeekly](https://rweekly.org/)
- [Quarto Blog](https://quarto.org/docs/blog/)
- [Tidyverse Blog](https://www.tidyverse.org/blog/)
## Awesome collections
- [Awesome Shiny extensions](https://github.com/nanxstats/awesome-shiny-extensions)
- [Awesome Quarto](https://github.com/mcanouil/awesome-quarto)
## Package vignettes I come back to regularly
- [Posit Cheatsheets](https://rstudio.github.io/cheatsheets/)
- [Regular expressions in {stringr} package](https://rstudio.github.io/cheatsheets/html/strings.html)
- [Changing and restoring state with {withr}](https://withr.r-lib.org/articles/changing-and-restoring-state.html)
## Help pages I regularly visit
- [Calculate row sums with {dplyr}](https://stackoverflow.com/questions/27354734/dplyr-mutate-rowsums-calculations-or-custom-functions)
- [Remove "missing" in {gtsummary} tables](https://stackoverflow.com/questions/72829738/gt-summary-how-to-delete-the-ns-only-on-some-rows-of-the-table-and-keep-the-o)
- [Correctly list affiliations in Quarto header](https://github.com/quarto-dev/quarto-cli/discussions/3162)
- [Create a named vector with one function](https://stackoverflow.com/questions/7535412/create-a-numeric-vector-with-names-in-one-statement)
- [Use if condition with native pipe](https://stackoverflow.com/questions/75961573/use-base-r-pipe-in-conditional-dplyr-chain)
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## Tutorials I found useful
- [A worked {targets} example for ecologists](https://targets-ecology.netlify.app/)
- [Getting started with unit testing in R](https://www.pipinghotdata.com/posts/2021-11-23-getting-started-with-unit-testing-in-r/)
- [Tutorials and scale and theme finder for {ggplot2}](https://ggplot2tor.com/)