My website at https://grodri.github.io has the computing logs for four courses I taught at Princeton University: Generalized Linear Models, Multilevel Models, Survival Analysis and Demographic Methods. The source code used to generate these computing logs is stored in GitHub at https://github.com/grodri/websrc.
The Generalized Linear Models (GLM) course has separate computing logs using Stata and R.
The Stata logs were all done using markstat, while the R logs were produced using rmarkdown.
The links below will take you to the opening page of the computing logs, which has a button
to view the table of contents. Each of the 27 logs has a link to the source code repository
in GitHub. There you will find the markstat files with extension .stmd, and the equivalent
rmarkdown files with extension .Rmd.
The other three courses have combined computing logs that use tabs to choose between Stata
and R versions of the code, and were written using markstat, much in the same way as the
example on Stata and R tabs. The links below will take you to the
home page of each course, which has a button to view a list of computing logs. Each of the 62
logs has a link to the appropriate section of the source code repository, where you will
find the markstat files with extension .stmd, including both Stata and R code. The files
have a line with the code .include srtabs to include Bootstrap and code to switch tabs.
This code is also in the repository.
The repository also has the source code and supporting files for my Stata and R tutorials:
The home page for each tutorial has a link to the code repository. The Stata tutorial is written
with markstat and the code is in files with extension .stmd. The R tutorial is written
with rmarkdown and the code is in files with extension .Rmd. In both cases a few additional
files needed to reproduce the tutorials are included. More information on the source code for
the Stata tutorial is available here.