resources.Rmd

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title: Resources and Links
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[course-github]: https://github.com/gerkelab/core-r-course
[course-page]: https://gerkelab.github.io/core-r-course
[r-project]: https://www.r-project.org/
[cran]: https://cran.rstudio.com/
[metacran]: https://www.r-pkg.org
[r-windows]: https://cran.rstudio.com/bin/windows/base/
[r-macos]: https://cran.rstudio.com/bin/macosx/
[r-unix]: https://cran.rstudio.com/bin/linux/
[rstudio]: https://www.rstudio.com/
[rstudio-download]: https://www.rstudio.com/products/rstudio/download/#download

## Getting R, RStudio, and R Packages

- [R-Project Home Page][r-project] [r-project.org]{.muted}
    - [R for Windows][r-windows]
    - [R for MacOS][r-macos]
    - [R for Unix][r-unix]
    
- [RStudio] [rstudio.com]{.muted}
    - [RStudio Download][rstudio-download]
    
- R Software Packages
    - [CRAN] [cran.rstudio.com]{.muted}
    - [MetaCRAN] [r-pkg.org]{.muted}


## Online Books, Courses, or Blogs

- [Stat545](http://stat545.com/index.html) [<br>Data wrangling, exploration, and analysis with R<br>Jenny Bryan]{.muted}

- [Modern Dive](http://moderndive.com/) [<br>An introduction to Statistical Data Sciences via R<br>Chester Ismay and Albert Y. Kim]{.muted}

- [R for Data Science](http://r4ds.had.co.nz) [<br>Garrett Grolemund and Hadley Wickham]{.muted}
 
- [YaRrr! The Pirate’s Guide to R](https://bookdown.org/ndphillips/YaRrr/) [<br>Nathanial Phillips]{.muted}

- [The Tidyverse R Style Guide](http://style.tidyverse.org/)

- [Data Carpentry Blog](https://datacarpentry.org/blog/)

## Get Help

- [R Seek](http://rseek.org/)

- [RDocumentation](https://www.rdocumentation.org/)

- [Stack Overflow](https://stackoverflow.com/questions/tagged/r) [R & programming]{.muted}

- [Cross Validated](https://stats.stackexchange.com/) [stats]{.muted}

## Cheat Sheets

- [RStudio IDE](https://github.com/rstudio/cheatsheets/raw/master/rstudio-ide.pdf)
- [RStudio Keyboard Shortcuts](https://support.rstudio.com/hc/en-us/articles/200711853-Keyboard-Shortcuts)
- [Base R](https://paulvanderlaken.files.wordpress.com/2017/08/base-r-cheetsheat.pdf)
- [Data Import](https://github.com/rstudio/cheatsheets/raw/master/data-import.pdf) [readr]{.pkg} [tidyr]{.pkg} [tibble]{.pkg}
- [Data Transformation](https://github.com/rstudio/cheatsheets/raw/master/data-transformation.pdf) [dplyr]{.pkg}
- [Data Visualization](https://github.com/rstudio/cheatsheets/raw/master/data-visualization-2.1.pdf) [ggplot2]{.pkg}
- [Data Wrangling](https://paulvanderlaken.files.wordpress.com/2017/08/ddplyr-cheatsheet-data-wrangling-plyr.pdf) [dplyr]{.pkg} [tidyr]{.pkg}
- [Character String Manipulation](https://github.com/rstudio/cheatsheets/raw/master/strings.pdf) [stringr]{.pkg}
- [Dates and Times](https://github.com/rstudio/cheatsheets/raw/master/lubridate.pdf) [lubridate]{.pkg}
- [R Markdown](https://github.com/rstudio/cheatsheets/raw/master/rmarkdown-2.0.pdf) [rmarkdown]{.pkg} [knitr]{.pkg}
- [R Markdown Reference](https://www.rstudio.com/wp-content/uploads/2015/03/rmarkdown-reference.pdf) [R Markdown Syntax]{.muted}
- [Functional Programming](https://github.com/rstudio/cheatsheets/raw/master/purrr.pdf) [purrr]{.pkg}

## Articles

- [Good Enough Practices in Scientific Computing](https://arxiv.org/abs/1609.00037)

- [Our path to better science in less time using open data science tools](https://www.nature.com/articles/s41559-017-0160)

- [Where do things live in R? R for Excel Users by Steph De Silva](http://rex-analytics.com/things-live-r-r-excel-users/)

- [Getting Used to R, RStudio, and R Markdown](http://rbasics.netlify.com/index.html) a short online book by Chester Ismay and Patrick Kennedy

## Practice Data

- [TidyTuesday](https://github.com/rfordatascience/tidytuesday#datasets) A collection of data sources for practicing data analysis and visualization. New releases each Tuesday.

- [Example Data Sets for data-to-viz.com](https://github.com/holtzy/data_to_viz/tree/master/Example_dataset) A collection of data sets used for the excellent data visualization guide [data-to-viz.com](https://www.data-to-viz.com/).

- [FiveThrityEight Data](https://github.com/fivethirtyeight/data) Data from articles published on [fivethirtyeight.com](https://fivethirtyeight.com)