Go to https://nsbatra.github.io/Epi_R_handbook/pages/handbook_combined.html to see the latest version of the handbook.
Download the contribution guide here: https://nsbatra.github.io/Epi_R_handbook/contribution_guide.html
The problem:
- Field epidemiologists often work in low internet-connectivity environments and have limited technical support from HQ
- Epis learning or new to R often must Google and skim dozens of forum pages to complete common data manipulation and visualization epi tasks
- Most online R help resources are not task-centered nor epidemiology-focused
Our objective:
- To make available a handbook covering common epidemiological tasks and outputs, with clear explanations, step-by-step instructions, and code examples. We are not looking to reinvent the “how to learn R” wheel, but rather to be a reference book specifically for epidemiologists, which, if needed, can be downloaded offline and used in a setting or field deployment with poor/no internet access.
Audiences:
Primary audience: Field epis and applied epidemiologists - urgently needing R code to modify in order to execute a task
- Those learning R and code-based workflows
- Those who know other software (STATA, SAS…) but need equivalent code in R
- Those working in poor-connectivity environments where extensive Google searching may be frustrating or impossible
- …with written language that is simple and can be understood by non-native English speakers
Secondary audience: Research, Governmental, and University epidemiologists, particularly:
- Those at institutions transitioning to using R