RKEEL: Using Keel in R code

Install RKEEL

There is two ways to install RKEEL package.

First and better, it is possible to install it from CRAN repository. For that, only have to type the following:

> install.packages("RKEEL")
> library(RKEEL)

The second way to install it is downloading the last version of the source packages from bin folder. Then, in R, only have to type:

> install.packages(RKEELdata_x.tar.gz, repos = NULL)
> library("RKEELdata")
> install.packages(RKEEL_x.tar.gz, repos = NULL)
> library("RKEEL")

CITATION

In order to cite this work, use the following reference or the citation.bib file to use in latex. The package was originally presented at FUZZ-IEEE 2016 international conference [Moy16], and later integrated into a new version of the KEEL software that was published in IJCIS journal [Tri17].

[Moy16] J.M. Moyano and L. Sanchez. (2016). RKEEL: Using RKEEL: Using KEEL in R code. In 2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016, 257-264. DOI: 10.1109/FUZZ-IEEE.2016.7737695.

[Tri17] I. Triguero, S. González, J.M. Moyano, S. García López, J. Alcalá Fernández, J. Luengo Martín, A.L. Fernández Hilario, M.J. del Jesús Díaz, L. Sánchez, and F. Herrera. (2017). KEEL 3.0: An open source software for multi-stage analysis in data mining. International Journal of Computational Intelligence Systems, 10(1): 1238-1249. DOI: 10.2991/ijcis.10.1.82.