This repository contains my HDR manuscript and the slides used during the defense.
I used Pluto.jl and Makie.jl to produce the slides. You can reproduce them by opening the file notebooks/slides.jl as a Pluto notebook. Note that the notebook is optimized for a light themed browser and a monitor resolution of 1512 x 982.
Here is the exhaustive list of figures with a link to the script file used to produce them.
- Figure I.1: julia script file
- Figure II.1: julia script file
- Figure II.2: julia script file
- Figure II.3: R script file
- Figure II.4: julia script file
- Figure II.5: julia script file
- Figure III.1: julia script file
- Figure III.2: julia script file
- Figure III.3: julia script file
- Figure III.4: julia script file
- Figure III.5: julia script file
- Figure III.6: julia script file
- Figure III.7: julia script file
- Figure III.8: julia script file
- Figure III.9: julia script file
- Figure III.10: julia script file
- Figure III.11: ask Anna Melnykova
- Figure III.12: it is a preliminary figure and should be implemented in a julia script file soon.
- Figure IV.1: see the MeanFieldGraph.jl github repo
- Figure IV.2: see the MeanFieldGraph.jl github repo
- Figure IV.3: R script file
- Figure IV.4: it is a preliminary figure and should be implemented in a julia script file soon.
- Figure A.1: julia script file
To (locally) reproduce this project, do the following (as advised by DrWatson):
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Download this code base. Notice that raw data are typically not included in the git-history and may need to be downloaded independently.
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Open a Julia console and do:
julia> using Pkg julia> Pkg.add("DrWatson") # install globally, for using `quickactivate` julia> Pkg.activate("path/to/this/project") julia> Pkg.instantiate()
This will install all necessary packages for you to be able to run the scripts and everything should work out of the box, including correctly finding local paths.