About
about.RmdThis R package contains data, code, and vignettes for the final, practical module (“Praxismodul”) of the Certificate of Advanced Studies in Advanced Statistical Data Science (CAS ASDS) at the University of Berne for the class of 2024.
The primary objective of the module was a statistical analysis of real data, using techniques learned during the course of the CAS.
Additionally, to get more acquainted with R, I tried to improve my knowledge of R, and incorporate some tools and techniques related to R that I had not used during previous classes, but which could prove useful in future projects. For this reason, the main part of the work is packaged as an R module, containing all relevant data, and including the analysis part (i.e. the main part of the course module) as vignettes. This is an attempt to package the main components in a reproducible research style, as suggested e.g. in (Marwick, Boettiger, and Mullen 2018b, 2018a).
The documents used for the mid-term presentation and final submission
are not packaged as vignettes, since the main objective was to get
decent slides and a good-looking final paper, which meant using some
LaTeX features that do not necessarily work well for vignettes. The
files are still available in the package’s sources, though, in the
articles subfolder of the vignettes folder. For
learning purposes, the final paper is available in triplicate, once as a
basic pdf_document file, and (in the respective subfolders)
using rticles document templates for Elsevier and Springer
journal papers (which require specific yaml front matter, and for which
the content was slightly adjusted layout-wise).
Reproducible Research
Using R packages in order to bundle all necessary resources to make a data analysis project reproducible has been suggested by multiple sources (e.g. (Wickham and Bryan 2023; Flight 2014; Marwick, Boettiger, and Mullen 2018b, 2018a)), with other sources (e.g. (Flight 2021)) suggesting lighter-weight approaches like (Landau 2024, 2021). Since one of my goals was to learn more about R and the R ecosystem, the more complex setup using an R package was chosen, mostly for the learning experience. The CRAN task view for reproducible research (Blischak et al. 2024) contains many other possibilities for future exploration.
If you want to cite this package for some reason, you can use e.g.
citation("asds2024.nils.practical")
#> To cite asds2024.nils.practical use:
#>
#> S. N (2024). _CAS ASDS Practical Project: Exploratory Analysis of
#> Road Bike Trip Data_. R package version 0.2.0.9000,
#> <https://github.com/nils-s/cas-asds-practical>.
#>
#> A BibTeX entry for LaTeX users is
#>
#> @Manual{,
#> title = {CAS ASDS Practical Project: Exploratory Analysis of Road Bike Trip Data},
#> author = {Nils S.},
#> year = {2024},
#> note = {R package version 0.2.0.9000},
#> url = {https://github.com/nils-s/cas-asds-practical},
#> }