R case studies

Practice on your own, or with others

Our case studies collection


About

Here we have collected R case studies and walk-throughs so that you can practice and expand your R skills.

You can access them by simply creating a free Applied Epi account and clicking the appropriate link below. You will need to have R installed to follow the case studies.

Target audience

Public health practitioners, epidemiologists, clinicians, and researchers who already have a basic competency in R who want additional practice or exposure to new uses of R in public health.

All of our training materials focus on challenges and solutions for frontline practitioners and are built or curated by our team with extensive ground-level experience. Read more about our educational approach

Origins

These case studies are all either built by our team, or are open-access tutorials that have been translated by our team into R from another language (e.g. from Stata or SAS). Individual credits are provided in the case studies.

Our partners

To curate this collection of case studies, we hav partnered with the EPIET Alumni Network, Médecins Sans Frontières (MSF) / Doctors without Borders and TEPHINET.

https://github.com/appliedepi/emory_training


COVID-19 - Fulton County, Georgia, USA

This case study walks the reader through analyzing COVID-19 data from Fulton County (near Atlanta, Georgia, USA). The result is an R Markdown report with data cleaning and analyses of demographics, temporal trends, spatial (GIS) mapping, etc.

Click here to access the website to download the RStudio project, data files, and to access the accompanying slides and instructions.

Please note that all these training materials use fake example data in which no person is identifiable and the actual values have been scrambled/jittered.

Please note that all these training materials use fake example data in which no person is identifiable and the actual values have been scrambled.


Foodborne outbreak investigation - Stengen, Germany

This case study is coming soon


GIS mapping case study - Am Timan, Chad

This case study is coming soon


Time series case study - Scotland, UK

This case study is coming soon

License

Creative Commons License Applied Epi Incorporated, 2022
This work is licensed by Applied Epi Incorporated under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License