biddmodellingcourse package contains the practicals for the BIDD modelling short course at the University of Bristol. It also contains the functions required to run the practicals and solutions.
The practicals and code should be on the memory stick given to you at the start of the the course. Open the course folder and then open the
Install the BIDD modelling short course from GitHub using the R terminal (this may take several minutes, if you are having problems talk to a course instructor):
You are now ready to start the practicals (see the handouts or the course website (https://bristolmathmodellers.github.io/biddmodellingcourse/)). For practicals that require coding, follow along interactively using the provided notebooks (available in the
The course practicals make use of R notebooks, these allow text and code to be intermingled in a single document. Code is highlighted and separated from the text using ```. To run the code in these chunks click on the green arrow in the right hand side of the chunk, or select the chunk and press enter. To run all code chunks above a given chunk press the grey arrow pointing downwards. The output from each code chunk will be displayed below the code chunk.
git clone, as follows, in the command line (not the R terminal).
git clone https://github.com/bristolmathmodellers/biddmodellingcourse.git
This package was developed in a docker container based on the tidyverse docker image. Docker containers are lightweight, stand-alone, executable packages of a piece of software that includes everything needed to run it (see here for details). To run the docker image run (with an active docker daemon running):
docker run -d -p 8787:8787 --name biddmodellingcourse -e USER=biddmodellingcourse -e PASSWORD=biddmodellingcourse seabbs/biddmodellingcourse
The rstudio client can be found on port
:8787 at your local machines ip. The default username:password is biddmodellingcourse:biddmodellingcourse, set the user with
-e USER=username, and the password with
- e PASSWORD=newpasswordhere. The default is to save the analysis files into the user directory.