An Extension of the Gap Statistic for Ordinal/Categorical Data R package DiscreteGapStatistic version 1.1.2 The gap statistic approach is extended to estimate the number of clusters for categorical response format data. This approach and accompanying software is designed to be used with the output of any clustering algorithm and with distances specifically designed for categorical (i.e. multiple choice) or ordinal survey response data. Software Depends: R (>= 4.2.0) Imports: cultevo, magrittr, utils, ggplot2, pheatmap, dplyr, Polychrome, RColorBrewer, reshape2, tidyr, ComplexHeatmap, cluster, stats Suggests: kableExtra, knitr, rmarkdown, testthat Eduardo Cortes <ecortesg@buffalo.edu> Comprehensive R Archive Network (CRAN) Jeffrey Miecznikowski [aut], Eduardo Cortes [aut, cre] (ORCID: <https://orcid.org/0000-0002-0966-6488>) MIT + file LICENSE (https://CRAN.R-project.org/package=DiscreteGapStatistic/LICENSE) 2025-03-06 application/tgz https://CRAN.R-project.org/package=DiscreteGapStatistic doi:10.32614/CRAN.package.DiscreteGapStatistic