Resources

What do you need help with?

Problem set
  1. Annotate the problem set on Perusall.
  2. Come to drop-in or 1:1 office hours (book using the Calendly links below!).
Video or reading comprehension
Annotate the resource on Perusall.
Specific R questions
  1. Google the error (this is good practice — much of learning how to code is about learning how to ask the right questions, using the correct terms). Stack Overflow posts are often particularly helpful.
  2. Check R for Data Science, a free book by the authors of R packages including ggplot2, tidyverse, and lubridate!
  3. Ask a member of the teaching team through Perusall.
Personal questions or concerns
Contact Gary, Aleksandra, or Uma directly through Perusall.
Accessing Perusall
  1. Sign into Canvas and try again.
  2. Contact a TF via email (aleksandraconevska@g.harvard.edu or uilavarasan@g.harvard.edu).
Replication paper
  1. Gary’s Publication, Publication paper
  2. General replication paper tips
Other questions or thoughts
Perusall!
Scheduling 1:1 office hours

Uma: Uma’s Calendly

Aleksandra: Aleksandra’s Calendly

For more more general inquiries and opportunities to practice...

General R questions
  1. Guide to R installation
  2. R for Data Science
  3. Advanced R
  4. R Packages
  5. Tutorials and guides: UCLA, overview of tidyverse, DataCamp
General LaTeX questions
  1. Guide to LaTeX installation
  2. Prefresher LaTeX resources
  3. LaTeX Wikibook
General content questions or review
  1. Many useful resources can be found at the Math Prefresher for Political Scientists website (some of which are linked above!).
  2. Introduction to Probability, 2nd Edition
  3. Check the course textbook!
  4. Try out the 2K1 in Silico app.
  5. Probability Distribution Table
Harvard Applied Stats Community
  1. Applied Statistics Workshop (GOV 3009)
  2. Harvard IQSS