As New Yorkers do all we can to stay well in the times of coronavirus, all of our routines have changed. For some of us, this may mean more time devoted to strengthening our data skills. If this is you, here is a collection of resources that can get you up and running with learning a new skill in R. These were originally compiled for the R-Ladies NYC Code-llaboration Hangout back in January, and are organized by topic: Tidy Tuesday, Building a Package, Building a Website, Time Series Analysis and Everything Else.
Tidy Tuesday
- Introduction, guidelines and datasets: Official Repo for the #tidytuesday project
- The book on how to transform and visualize data with R: R for Data Science
- Slides from Luda Janda’s ggplot talk at the NYC Open Statistical Programming Meetup: the ggplot glow-up
- Other dataviz and ggplot resources:
Building a Package
- Tutorial: Slides from Sebastian Teran Hidalgo’s R-Ladies talk
- Other resources:
- About writing good functions
Building a Website
- Tutorial: How to build a website with Blogdown in R
- Other resources:
- THE book about blogdown
- Excellent troubleshooting tips
- Another way of building websites with r (with rmarkdown and github hosting)
- Additional reference by Alison Hill:
Forecasting and Time Series Analysis
- Intro to Time Series Forecasting ARIMA Modeling:
- Test out your skills with this Kaggle competition
- tsibble Objects (bonus link, thanks Emily Robinson!)