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https://github.com/mribeirodantas/vidente
R package to parse and preprocess the Surveillance, Epidemiology, and End Results (SEER) Program data from NIH/NCI
https://github.com/mribeirodantas/vidente
cancer-patients cancer-research data-analysis data-science data-structures r-package seer
Last synced: 21 days ago
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R package to parse and preprocess the Surveillance, Epidemiology, and End Results (SEER) Program data from NIH/NCI
- Host: GitHub
- URL: https://github.com/mribeirodantas/vidente
- Owner: mribeirodantas
- License: gpl-3.0
- Created: 2019-02-06T13:47:09.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2019-03-24T03:04:23.000Z (over 5 years ago)
- Last Synced: 2023-10-20T21:54:47.415Z (about 1 year ago)
- Topics: cancer-patients, cancer-research, data-analysis, data-science, data-structures, r-package, seer
- Language: R
- Homepage:
- Size: 143 KB
- Stars: 5
- Watchers: 2
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Contributing: .github/CONTRIBUTING.md
- License: LICENSE
- Code of conduct: .github/CODE_OF_CONDUCT.md
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README
# vidente
vidente is an R package that contains tools to parse and preprocess the Surveillance, Epidemiology, and End Results (SEER) Program database. There are other R packages with similar goals, but they're either too limited or too focused in one way of parsing/preprocessing/analyzing SEER data. vidente has been developed to make sure it will be useful to anyone willing to analyze SEER data, regardless of technical knowledge.
## Getting Started
These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. I do not consider it to be ready for production yet, even though I already use it in my analyses.
### Installing
Download a [version](https://github.com/mribeirodantas/vidente/releases) of vidente, decompress the compressed file, change into the created directory, and run in your shell:
```
R CMD INSTALL --preclean --no-multiarch --with-keep.source .
```
After that, you should be able to load it in R by typing:
```
library(vidente)
```
You can also clone this repository and run the R command above inside the cloned directory.
## Contributing
Contributions are very welcomed (more details [here](.github/CONTRIBUTING.md)) and feel free to reach out by e-mail if you want to discuss something with me.
## Maintainer
* **Marcel Ribeiro Dantas** (marcel.ribeiro-dantas curie.fr)
## Authors
* **Marcel Ribeiro Dantas**
* **Hervé Isambert**
## License
This project is licensed under the General Public License version 3 or any other version of this license released later. See the [LICENSE](LICENSE) file for details