A collection of different modules providing methods for frequently used computations and visualizations used in the reiterlab. See some of our developed software on our Github page https://github.com/reiterlab.
To install the latest release of rll, run pip install rll
*If you want to customize some functions, it is best to:
- Clone the repository from Github with
git clone https://github.com/reiterlab/reiterlablib.git - Create distribution package by going to the main folder with
cd reiterlabliband runpython setup.py clean sdist bdist_wheel - Install rll to your python environment by running
pip install -e . - Test installation with
python -c 'import rll'andpytest tests/
- rll v0.1.0 2020-12-11: Initial release of package.
- rll v0.1.2 2020-12-11: Added flexibility with legend display.
- rll v0.1.3 2021-01-04: Added functions to convert different measures of tumor sizes.
- rll v0.1.4 2021-02-04: Adding custom text labels to histograms. Added barplots.
- rll v0.1.5 2021-04-09: Added some additional plotting options to barplots and xyplots. Added options for marker sizes. Added option for grouped histograms.
- rll v0.1.6 2021-04-09: Reading SEER data.
These methods are licensed under the GNU General Public License, Version 3. The methods are free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, version 3 of the License. There is no warranty for this free software.
Translational Cancer Evolution Laboratory, Canary Center for Cancer Early Detection, Stanford University, https://reiterlab.stanford.edu