A utility collection, consisting of R plotting code, libraries and themes, useful LaTeX commands, obtainable datasets, and various programs used in research.
Please see the Wiki for further documentation.
- Add installation section to readme
- Add acknowledgements to readme
- Global specifications for file names and formats, make contributions easier
- R theme code for lab
- R plotting code templates
- Various R tricks
- R package installation script
- Python useful library installation script
- Create either Python scripts collection, or Python package with collection of scripts
- Custom LaTeX command file
- Base dataset obtain script, to be extended for more datasets (scrapers)
- Write API for obtaining datasets (historical/current, ex. which ASN for given IP in given year)
- Create list of useful libraries
Clone the repository, which by default will have available R code and LaTeX code. There will be some scripts you can run to obtain datasets as well, and installation scrips for useful R and Python packages.
Python 3 (and pip), LaTeX, and R.
git clone https://github.com/adunna/calipr-utils.git
To install various pip packages (Python 3, assuming pip3 is installed), use the included pip-packages.sh script with root privileges, as sudo ./pip-packages.sh.
If you have something useful to add to the repository, please contact @adunna or submit a PR. Formats are given along with examples for each type of contribution. Easy contributions are:
- Py-Snips: Python code snippets.
- R-Snips: R code snippets.
- R-Themes: R plotting themes.
- R-Packages: Useful R packages.
If you have any Python packages you'd like to add, or any useful libraries/resources such as citation managers, please contact @adunna.
This project is licensed under the MIT License - see the LICENSE file for details.
- ColorBrewer (Cynthia Brewer and Mark Harrower) for friendly color palettes.