Subgroup Discovery with Evolutionary Fuzzy Systems

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Documentation for package ‘SDEFSR’ version 0.7.22

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

as.data.frame.SDEFSR_Dataset	S3 function to convert into a data.frame the SDEFSR dataset This function converts a SDEFSR_Dataset object into a data.frame
carTra	Car evaluation dataset
carTst	Car evaluation dataset
FUGEPSD	Fuzzy Genetic Programming-based learning for Subgroup Discovery (FuGePSD) Algorithm.
germanTra	German Credit data set
germanTst	German Credit data set
habermanRules	Haberman survival rule set
habermanTra	Haberman survival data set
habermanTst	Haberman survival data set
MESDIF	Multiobjective Evolutionary Subgroup DIscovery Fuzzy rules (MESDIF) Algorithm
NMEEF_SD	Non-dominated Multi-objective Evolutionary algorithm for Extracting Fuzzy rules in Subgroup Discovery (NMEEF-SD)
plot.SDEFSR_Rules	Plot a rule set generated by a SDEFSR algorithm
print.SDEFSR_Dataset	S3 function to print in console the contents of the dataset This function shows the matrix of data uncoded.
read.dataset	Reads a KEEL, ARFF or CSV data format file.
SDEFSR	SDEFSR: A package for Subgroup Discovery with Evolutionary Fuzzy Systems in R
SDEFSR_DatasetFromDataFrame	Creates a 'SDEFSR_Dataset' object from a 'data.frame'
SDEFSR_GUI	Launch a web interface for use the algorithms easily.
SDIGA	Subgroup Discovery Iterative Genetic Algorithm (SDIGA)
sort.SDEFSR_Rules	@title Return an ordered rule set by a given quality measure @description This function sorts a rule set in descendant order by a given quality measure that are available on the object
summary.SDEFSR_Dataset	S3 function to summary a SDEFSR_Dataset object
[.SDEFSR_Rules	Filter rules in a 'SDEFSR_Rules' object returning a new 'SDEFSR_Rules' object