discourseGT: Analyze Group Patterns using Graph Theory in Educational Settings

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>.

Version: 1.1.6
Depends: R (≥ 3.5.0)
Imports: igraph, ggpubr, GGally, network, ggplot2, dplyr, ggrepel, BiocManager, sna
Published: 2021-06-18
Author: Albert Chai [aut], Andrew Lee [aut], Joshua Le [aut, cre], Katherine Ly [ctb], Kevin Banh [ctb], Priya Pahal [ctb], Jitarth Sheth [ctb], Stanley Lo [aut]
Maintainer: Joshua Le <jpl038 at ucsd.edu>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README
CRAN checks: discourseGT results

Documentation:

Reference manual: discourseGT.pdf

Downloads:

Package source: discourseGT_1.1.6.tar.gz
Windows binaries: r-devel: discourseGT_1.1.6.zip, r-release: discourseGT_1.1.6.zip, r-oldrel: discourseGT_1.1.6.zip
macOS binaries: r-release (arm64): discourseGT_1.1.6.tgz, r-release (x86_64): discourseGT_1.1.6.tgz, r-oldrel: discourseGT_1.1.6.tgz
Old sources: discourseGT archive

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