Recently Published
R for data wrangling 1: learning the ground rules of dplyr with publicly available COVID-19 data
This page has been moved to https://michaeldgarber.github.io/teach-r/index.html
R for data wrangling 2: more dplyr and some tidycensus, mapview, and ggplot
This page has been moved to
https://michaeldgarber.github.io/teach-r/index.html
Geocoding with ggmap and tmap
This demo introduces geocoding in R using ggmap (via Google's API) and tmap (via OpenStreetMap's API) and includes examples of each.
Sampling 300 U.S. counties
An approach for sampling 300 U.S. counties.
Using R to gather bicycle infrastructure data from OpenStreetMap (part 2)
The goal of this demo series is to illustrate use of osmdata to download OpenStreetMap vector data, with a focus on gathering bicycle infrastructure in Atlanta. Part 1 went over conceptual aspects. This one covers R code.
IPTW to estimate effect of regimens
IPTW to estimate effect of regimens
Marginal Structural Models Example
The purpose of this demo is to show how to simulate a dataset with time-varying confounding and to apply a non-parametric marginal structural model to estimate the effect of the regimen on the outcome.
A simulation of IPTW: EPI 738 TA Session 2
The purpose of this demo is to show how IPTW can be used to correct for confounding. The dataset is simulated from a structural causal model consistent with a DAG.
R for GIS, Patzer Group Analytics Meeting
A demo on using R for GIS with data on dialysis facilities and transplant centers.