Methods include converting series of event names to strings, finding common patterns in a group of strings, discovering "unique" patterns when comparing two groups of strings as well as the number and starting position of each pattern in each string, obtaining transition matrix, computing transition entropy, statistically comparing the difference between two groups of strings, and clustering string groups. Event names can be any action names or labels such as events in log files or areas of interest (AOIs) in eye tracking research. An R Shiny application is available on GitHub.
| Version: | 0.5.1 |
| Imports: | plyr |
| Published: | 2026-02-24 |
| DOI: | 10.32614/CRAN.package.GrpString |
| Author: | Hui Tang [aut], Norbert J. Pienta [aut], Hui Tang [cre] (Tom) |
| Maintainer: | Hui Tang <htang2013 at gmail.com> |
| License: | MIT + file LICENSE |
| URL: | https://github.com/dstgithub/GrpString-Shiny |
| NeedsCompilation: | no |
| Materials: | README, NEWS |
| CRAN checks: | GrpString results |
| Reference manual: | GrpString.html , GrpString.pdf |
| Package source: | GrpString_0.5.1.tar.gz |
| Windows binaries: | r-devel: GrpString_0.5.1.zip, r-release: GrpString_0.5.1.zip, r-oldrel: GrpString_0.5.1.zip |
| macOS binaries: | r-release (arm64): GrpString_0.5.1.tgz, r-oldrel (arm64): GrpString_0.5.1.tgz, r-release (x86_64): GrpString_0.5.1.tgz, r-oldrel (x86_64): GrpString_0.5.1.tgz |
| Old sources: | GrpString archive |
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