Here are some online resources I find useful for empirical work. Nowadays, it is quite easy to spot a myriad of similar things out there. But to me, many are of poor quality, some even misleading and may result in bad habits. Indistinguishable names also makes Googling hard. This motivates me to constantly maintain this list so that I can consult them anywhere anytime without taking up memory. Should you discover something or have any sort of thoughts, I will be really happy to know.
 

Philosophy

Program


Wrangle

  • dplyr: The black magic that transcends R from its base
    • Useful: filter()/select()/group_by()/summarise()/mutate()/nest()/…
  • data.table: Convenient for working with large datasets
    • Useful: rbindlist()/fread()/fwrite()/…
  • magrittr: Useful pipe operator %>% enhances readability
  • Teach the tidyverse to Beginners by David Robinson

Scrape

Visualize


Automate

Collaborate

Communicate

Typeset


Text Analysis

Statistical Learning


Style Guides

Hybrid Materials