Useful links

Collection of useful links. Feel free to use.

R

• Project-oriented workflow: Best practices which streamline managing multiple projects, collaboration, reproducibility, etc. Other useful tips here
• R for Data Science
• R Markdown

Data visualization

• Data Visualization by Kieran Healy
• Fundamentals of Data Visualization by Claus O. Wilke
• http://r-statistics.co/Top50-Ggplot2-Visualizations-MasterList-R-Code.html
• https://cfss.uchicago.edu/lab03.html
• Arrange plots
  • Personal favorite: patchwork

Statistics

• An Introduction to Statistical Learning
• Anything from the IDRE

Bayesian Statistics

• Statistical Rethinking - Richard McElreath
  • Lecture series
  • Tidyverse translation
• Introduction to Empirical Bayes - David Robinson
• A Student's Guide to Bayesian Statistics

Linear mixed models:

• https://stats.idre.ucla.edu/other/mult-pkg/introduction-to-linear-mixed-models/
• https://ourcodingclub.github.io/2017/03/15/mixed-models.html#one
• https://cran.r-project.org/web/packages/lme4/vignettes/lmer.pdf
• Nested vs. crossed effects
• https://stats.stackexchange.com/questions/4700/what-is-the-difference-between-fixed-effect-random-effect-and-mixed-effect-mode

Deep Learning

• Tensorflow for R blog
• Deep Learning by Google
• Deep Learning with R (paid resource but the book is a good buy)

Python

• Tidy Data in Python
• Tidyverse-style Pandas