GitHub - alexbaretta/ROCR: An R package for visualizing classifier performance (Sing/Sander/Beerenwinkel/Lengauer [2005] Bioinformatics)

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An R package for visualizing classifier performance (Sing/Sander/Beerenwinkel/Lengauer [2005] Bioinformatics)

rocr.bioinf.mpi-sb.mpg.de/

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R		R
data		data
demo		demo
man		man
unittests		unittests
CITATION		CITATION
DESCRIPTION		DESCRIPTION
INSTALL		INSTALL
LICENCE		LICENCE
NEWS		NEWS
README		README
README.unittests		README.unittests

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Please support our work by citing the ROCR article in your publications:
------------------------------------------------------------------------
Sing T, Sander O, Beerenwinkel N, Lengauer T. [2005]
ROCR: visualizing classifier performance in R.
Bioinformatics 21(20):3940-1. 

Free full text:
http://bioinformatics.oxfordjournals.org/content/21/20/3940.full


Getting started with ROCR:
--------------------------

* After installation (cf. file 'INSTALL'), and starting R,
  load the package with 'library(ROCR)'.

* For a short overview of ROCR:
  demo(ROCR)

* For an overview of ROCR's online help: 
  help(package=ROCR)

* ROCR help pages:
  help(prediction)
  help(performance)
  help(plot.performance)
  help('prediction-class')
  help('performance-class')
  
* For more information, visit the ROCR website:
  http://rocr.bioinf.mpi-sb.mpg.de

* Good luck!