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: |
1.2.0 |
| 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) |
| Published: |
2023-07-19 |
| DOI: |
10.32614/CRAN.package.discourseGT |
| Author: |
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] |
| Maintainer: |
Qi Cui <q1cui at ucsd.edu> |
| License: |
MIT + file LICENSE |
| NeedsCompilation: |
no |
| Materials: |
README |
| CRAN checks: |
discourseGT results |
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