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R package to parse and analyze the Surveillance, Epidemiology, and End Results (SEER) Program data from NIH/NCI
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Marcel Ribeiro Dantas
Marcel Ribeiro Dantas Write function getNormalizedEntropy
Normalized entropy can be used to compare features in your dataset among
themselves in order to identify features that may not contribute much to
your analysis.
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vidente is an R package that contains tools to parse and analyze the Surveillance, Epidemiology, and End Results (SEER) Program database. Though there are other R packages with similar goals, they're either too limited or too focused in one way of parsing/analyzing it. vidente has been developed making sure it will be useful to anyone willing to analyze SEER data, or at least parse its ASCII data files.

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.


Download a version 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:


You can also clone this repository and run the R command above inside the cloned directory.


Contributions are very welcomed (more details here) and feel free to reach out by e-mail if you want to discuss something with me.


  • Marcel Ribeiro Dantas (marcel.ribeiro-dantas


  • Marcel Ribeiro Dantas
  • Hervé Isambert


This project is licensed under the General Public License version 3 or any other version of this license released later. See the LICENSE file for details

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