mintEMU - The Legacy of the European Postgraduate Master in Urbanism at TU Delft: A Text Mining Approach
How to cite
Please cite this compendium as:
Forgaci, C., Wilczynska, A., (2023), (2024). Compendium of R code and data for The Legacy of the European Postgraduate Master in Urbanism at TU Delft: A Text Mining Approach. Accessed 17 Apr 2024. Online at https://doi.org/10.4121/3295be57-969c-4f72-9c09-8e92aaff78a5
Contents
The analysis directory contains:
- Paper: R Markdown source document for manuscript.
Includes code to reproduce the figures and tables generated by the
analysis. It also has a rendered version,
paper.docx, suitable for reading (the code is replaced by figures and tables in this file) - Data: Data used in the analysis.
- Figures: Plots and other illustrations
- Supplementary materials: Supplementary materials including notes and other documents prepared and collected during the analysis.
How to run in your browser or download and run locally
This research compendium has been developed using the statistical programming language R. To work with the compendium, you will need installed on your computer the R software itself and optionally RStudio Desktop.
You can download the compendium as a zip from this URL:
main.zip. After unzipping: - open the .Rproj file
in RStudio - run devtools::install() to ensure you have the packages
this analysis depends on (also listed in the DESCRIPTION
file). - finally, open analysis/paper/paper.Rmd and knit to produce
the paper.docx, or run rmarkdown::render("analysis/paper/paper.Rmd")
in the R console
Licenses
Text and figures : CC-BY-4.0
Code : See the DESCRIPTION file
Data : CC-BY-4.0
Contributions
We welcome contributions from everyone. Before you get started, please see our contributor guidelines. Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.