When learning a programming language, applying the new concepts regularly is absolutely essential. Without regular practice it is hard to impossible to remember everything you need to actually enjoy working with R.
Therefore, I prepared a small set of exercises for each session that I recommend you to do after the session. This will help you to remember what you have learned and to find out what you did not understand well. I then urge you to post your problems on Moodle, to ask your colleagues and to help each other out. This also will be a great boost to your learning progress: explaining something to others is not only great in a normative sense, it also helps you to get a deeper understanding of the concepts yourself.
In this short post I quickly explain how you can use the exercises
that I have prepared for you. For those of you interested in the
underlying mechanics: all exercises were prepared using the package learnr together with the gradethis package, and
are distributed in the package
To use the exercises you must have installed the packages
DataScienceExercises. If you followed the instructions in
the tutorial on installing R
packages this should be the case. If for some reasons you need to
install them, you can do this via:
<- c( pack_names "rstudio/learnr", "rstudio/gradethis", "graebnerc/DataScienceExercises" )::install_github( remotesrepo = pack_names, upgrade = "always")
Note that this requires a previous installation of the package
Since I update the exercises according to your feedback, and add new
exercises over the semester, I strongly recommend you to update the
DataScienceExercises each time before you start
practicing. To do so you need an internet connection. If you just want
to do the exercises without updating the package, an internet
connection is not required: the exercises themselves also work
To update the package, simply type the following into the console and
::install_github( remotesrepo = "graebnerc/DataScienceExercises", upgrade = "always")
This should update your package version to the most recent release.
If you want to start an exercise you first need to figure out the name of the exercise sheet. This is provided in the Material section of the course webpage. Then you call execute the following code via the console in R Studio, replacing ‘EX_NAME’ with the name of the exercise sheet:
::run_tutorial( learnrname = "EX_NAME", package = "DataScienceExercises", shiny_args=list("launch.browser"=TRUE))
The first exercise sheet, for instance, is called
Basics. Thus, to call it execute the following:
::run_tutorial( learnrname = "Basics", package = "DataScienceExercises", shiny_args=list("launch.browser"=TRUE))
Lastly, if you encounter a bug or a mistake, or have an idea for a
good exercise, please let me know via the issue
tracker of the
DataScienceExercises package or via
Moodle. Thank you!