R-sig-teaching Digest, Vol 102, Issue 3

Thanks for the advice, Jose. I discovered that the latest version of
EpiInfo does not seem to contain the data for this particular tutorial,
but version 3.5.4 does, so I downloaded and installed it. I was able
easily to extract the rhodoccus data to a plain text file.

Here is a link to a nice collection of plain text data files for use
with R. Not all are medical/epidemiological in nature, but I think I can
make use of several:

http://vincentarelbundock.github.io/Rdatasets/datasets.html

I'll be teaching the intro epi course for a new MPH degree program at
Binghamton University in Binghamton, NY, US. I've taught family medicine
for about 25 years; this will be my first experience with formal
teaching of MPH students. Roughly speaking, I plan to use about 90
minutes of each 3-hour weekly class session for the usual, general,
principles of epidemiology. I'll use about 45 minutes for a "computer
lab" of sorts with R, for practical application of the principles. And
about 45 minutes for a substantive discussion of the epidemiology of an
important health problem, communicable or non-communicable.

I hope the early introduction of R will seque well into their intro
stats course that I'll teach second semester.

Tentaively, these are the R-related concepts I hope to practice with them:

Overview of R
Installation of R
Saving your R code: why and how

R as a calculator. Rate standardization.
Data structures, types and levels of measurement
Dates and times
Tables

Analysis of tabular data
Introduction to good graphics

More analysis of tabular data
More on good graphics

Data discipline
Data sharing
Installing and using packages
Getting data into R from "the wild"
Data wrangling in the tidyverse
Getting things out of R
Epidemic curves

More on good graphics

Brief foray into maps and spatial epidemiology

We'll see how it all works out!  I'd love to hear from others their
thoughts or experiences using R in teaching intro epidemiology.

--Chris