read.dataset: Reads a KEEL, ARFF or CSV data format file.
In SDEFSR: Subgroup Discovery with Evolutionary Fuzzy Systems

Description Usage Arguments Details Author(s) References See Also Examples

This function reads a KEEL (.dat), ARFF (.arff) or CSV dataset file and store the information in a SDEFSR_Dataset class.

1	read.dataset(file, sep = ",", quote = "\"", dec = ".", na.strings = "?")

`file`	The path of the file to read
`sep`	The separator character to use
`quote`	The character used to take quotes
`dec`	The character used to define decimal characters
`na.strings`	The character to detect lost data

A KEEL data file must have the following structure:

@relation: Name of the data set
@attribute: Description of an attribute (one for each attribute)
@inputs: List with the names of the input attributes
@output: Name of the output attribute (Not used in this algorithms implementation)
@data: Starting tag of the data

The rest of the file contains all the examples belonging to the data set, expressed in comma sepparated values format. ARFF file format is a well-know dataset format from WEKA data mining tool. CSV is a format which means comma-separated values. Where each examples is on a line and each value of the variables of the examples are separated by commas.

Angel M. Garcia <agvico@ujaen.es>

J. Alcala-Fdez, A. Fernandez, J. Luengo, J. Derrac, S. Garcia, L. Sanchez, F. Herrera. KEEL Data-Mining Software Tool: Data Set Repository, Integration of Algorithms and Experimental Analysis Framework. Journal of Multiple-Valued Logic and Soft Computing 17:2-3 (2011) 255-287.

KEEL Dataset Repository (Standard Classification): https://sci2s.ugr.es/keel/category.php?cat=clas

    ## Not run: 
       Reads a KEEL dataset from a file.
       read.dataset(file = "C:\KEELFile.dat")

       read.dataset(file = "C:\KEELFile.dat", nLabels = 7)
       
     Reads an ARFF dataset from a file.
       read.dataset(file = "C:\ARFFFile.arff")

       read.dataset(file = "C:\ARFFFile.arff", nLabels = 7)
    
## End(Not run)