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.
The DESCRIPTION file:
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~~ An overview of how to use the package, including the most important functions ~~
Maintainer: Jan Komorowski <email@example.com>, Mateusz Garbulowski <firstname.lastname@example.org>
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.
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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"))
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