R.ROSETTA-package: R.ROSETTA - an R package for rule-based classification...

Description Details Author(s) References See Also Examples

Description

R.ROSETTA is a package for constructing and analyzing rule-based classification models. The package is a more accessible and extended version of the ROSETTA system.

Details

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~~ An overview of how to use the package, including the most important functions ~~

Author(s)

NA

Maintainer: Jan Komorowski <jan.komorowski@icm.uu.se>, Mateusz Garbulowski <mateusz.garbulowski@icm.uu.se>

References

A. Ohrn, J. Komorowski (1997), ROSETTA: A Rough Set Toolkit for Analysis of Data, Proc. Third International Joint Conference on Information Sciences, Fifth International Workshop on Rough Sets and Soft Computing (RSSC'97), Durham, NC, USA, March 1-5, Vol. 3, pp. 403-407.

See Also

bioinf.icm.uu.se/rosetta

Examples

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  ## The sample dataset exists as autcon variable
  resultsRos<-rosetta(autcon)
  
  ## print the accuracy of your model
  print(resultsRos$quality$accuracyMean)
  
  ## save the rule table for rules with p-value < 0.05
  rules <- resultsRos$main[which(resultsRos$main$pValue < 0.05),]
  
  ## print rules in IF-THEN format
viewRules(rules, setDiscLabels = FALSE, newDiscLabels=c("down", "nochange",  "up"))

mategarb/R.ROSETTA documentation built on Aug. 20, 2020, 5:21 a.m.