This repository contains all the material used to teach an intro to programming with R Summer course I taught at UCLA. The dataset folder contains all datasets used for the course, with the exception of the tweets dataset, as Twitter policy does not allow tweets to be distributed.

The following are the sources I used to construct the lesson plans:

1. Barberá, P. 2021. USC POIR 613 - Computational Social Science Course.
2. Blischak, J., Chen, D., Dashnow, H. and D. Haine (eds): "Software Carpentry: Programming with R." Version 2016.06, June 2016, https://github.com/swcarpentry/r-novice-inflammation, 10.5281/zenodo.57541
3. Gasparac, G. 2020. "Creating chRistmas caRds." Towards Data Science. https://towardsdatascience.com/christmas-cards-81e7e1cce21c
4. Irizarry, R.A. 2020. "Introduction to Data Science: Data Analysis and Prediction Algorithms with R." https://rafalab.github.io/dsbook/
5. R Coder. https://r-coder.com/r-introduction/
6. R Programming. Statistics Globe. https://statisticsglobe.com/for-loop-in-r
7. Venables, W.N., Smith, D.M., and R Core Team. 2018. An Introduction to R. https://colinfay.me/intro-to-r/
8. Wickham, H. and Grolemund, G. "R for Data Science". https://r4ds.had.co.nz/introduction.html