Analyze Group Patterns using Graph Theory in Educational Settings R package discourseGT version 1.2.0 Analyzes group patterns using discourse analysis data with graph theory mathematics. Takes the order of which individuals talk and converts it to a network edge and weight list. Returns the density, centrality, centralization, and subgroup information for each group. Based on the analytical framework laid out in Chai et al. (2019) <doi:10.1187/cbe.18-11-0222>. Software Depends: R (>= 3.5.0) Imports: dplyr, GGally, ggplot2, ggrepel, graphics, igraph, network, stats, utils Suggests: BiocManager, formatR, ggpubr, knitr, markdown, R.rsp, rmarkdown, rticles, sna, testthat (>= 3.0.0) Qi Cui <q1cui@ucsd.edu> Comprehensive R Archive Network (CRAN) Albert Chai [aut], Andrew Lee [aut], Joshua Le [aut], Katherine Ly [ctb], Kevin Banh [ctb], Priya Pahal [ctb], Jitarth Sheth [aut], Qi Cui [aut, cre], Stanley Lo [aut] MIT + file LICENSE (https://CRAN.R-project.org/package=discourseGT/LICENSE) 2023-07-19 application/tgz https://CRAN.R-project.org/package=discourseGT doi:10.32614/CRAN.package.discourseGT