#  Resources 

 



#### What do you need help with?

Sort**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](https://r4ds.had.co.nz/), 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](/file_url/96)



**Other questions or thoughts**

Perusall!

**Scheduling 1:1 office hours**

*Uma:* [Uma’s Calendly](https://calendly.com/umailava/officehours)

*Aleksandra:* [Aleksandra’s Calendly](https://calendly.com/aleksandraconevska/office-hours?month=2022-09)







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

Sort**General R questions**

1. [Guide to R installation](/file_url/209)
2. [R for Data Science](https://r4ds.had.co.nz/)
3. [Advanced R](https://adv-r.hadley.nz/)
4. [R Packages](https://r-pkgs.org/)
5. Tutorials and guides: [UCLA](https://stats.oarc.ucla.edu/r/), [overview of tidyverse](https://github.com/michaellevy/tidyverse_talk/blob/master/tidyverse.md), [DataCamp](https://www.datacamp.com/courses/free-introduction-to-r)



**General LaTeX questions**

1. [Guide to LaTeX installation](/file_url/209)
2. [Prefresher LaTeX resources](https://projects.iq.harvard.edu/prefresher/additional-latex-resources)
3. [LaTeX Wikibook](https://en.wikibooks.org/wiki/LaTeX)



**General content questions or review**

1. Many useful resources can be found at the [Math Prefresher for Political Scientists website](https://projects.iq.harvard.edu/prefresher) (some of which are linked above!).
2. [Introduction to Probability, 2nd Edition](https://drive.google.com/file/d/1VmkAAGOYCTORq1wxSQqy255qLJjTNvBI/view)
3. Check the course textbook!
4. Try out the [2K1 in Silico](https://projects.iq.harvard.edu/2k1-in-silico/home) app.
5. [Probability Distribution Table](https://drive.google.com/file/d/1l-C60EjY1htnSxpGt1ubg2EX22SYcagC/view?usp=sharing)



**Harvard Applied Stats Community**

1. [Applied Statistics Workshop (GOV 3009)](https://projects.iq.harvard.edu/applied.stats.workshop-gov3009/home)
2. [Harvard IQSS](https://www.iq.harvard.edu/)