Work in progress development of the course material for the BIOS524 "Biostatistical Computing with R" course, September 21-October 23, 2020. Course web site is https://bios524-biostatistical-computing-r.netlify.app/. Links to images and material are added to the slides.
Title: "Biostatistical Computing with R"
Course web site: https://bios524-biostatistical-computing-r.netlify.app/
Time: Tuesday, Thursday, September 21 - October 23, 2020, 1:00pm-2:20pm
Location: online only, Zoom (link will be provided)
Equipment Required: A computer with Internet access
Registrant Limit: 25
Description: This is a first-year graduate level course in biostatistical computing. This course is designed to provide an introduction to R programming. We will cover the data management/manipulation, common graphical and statistical procedures both in R. No knowledge of calculus/algebra is required although some vector/matrix operations will be discussed.
Site template is based on the "Statistical Image Analysis Course for Neuroscientists" repository developed by Ted Laderas. The original source is "GSU MPA/MPP course on program evaluation and causal inference" repository by Andrew Heiss
# Build and serve site
blogdown::serve_site()
# Stop server
blogdown::stop_server()
This site uses the Academic Hugo theme, with some slight template modifications found in /assets/ and layouts/. The theme is included as a submodule, so when when cloning for the first time, use this command to get the theme too:
git clone --recursive https://github.com/gcushen/hugo-academic.git
To get the theme later, use this command:
git submodule add \
https://github.com/gcushen/hugo-academic.git \
themes/hugo-academic
To update to the latest version of the theme, use:
git submodule update --recursive --remote