R for trial and model-based cost-effectiveness analysis: One-day workshop
This is a virtual code challenge hosted via
GitHub for participants in the R for trial &
model-based cost-effectiveness analysis
workshop
taking place 9 July 2019 at University College London. The intention is
to provide something for the more advanced R user to get their teeth
into in advance of the workshop itself. An award will be presented on
the day for the best submission, judged accounting for
There is no single right way to answer the challenges. We are not
primarily interested in the values of the solutions or indeed the
problem per-se. We are really interested in how the problems are tackled
in code. That is, how the code is structured, what data structures are
used and how they are handled. The decision of the judges is final :)
We will provide some ‘model solutions’ to the challenges following the
workshop. These will not be the ‘perfect’ solutions and we well
anticipate that participants’ submitted code will demonstrate superior
ability!
The challenges can be found
here.
The challenge has an overarching problem which is then split into
smaller challenges. Hopefully, it’ll be good fun if not a little work.
You can also look through the alternative versions provided by others
and learn something new, about different ways of approaching and solving
problems.
Participants should email their code solutions to
nathan.green@imperial.ac.uk by 24th June 2019. We are fairly
flexible in how you would like to structure your submission. This could
be as a package, project or a single .R file. In all cases include amain.R or main.Rmd file so we know where to start.
We suggest measuring your code performance using
microbenchmarking and the
package (not surprisingly)
microbenchmark.
In this way we can compare running time even for things that only take a
very small amount of time.