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Processing and visualizing concept mapping data. Concept maps are versatile tools used across disciplines to enhance understanding, teaching, brainstorming, and information organization. The analysis of concept mapping data involves the sequential use of cluster analysis (for sorting participants and statements), multidimensional scaling (for positioning statements in a conceptual space), and visualization techniques, including point cluster maps and dendrograms.
| Version: | 1.0.0 |
| Imports: | cluster, ggplot2, factoextra, clue, igraph, stringr, pheatmap |
| Published: | 2025-03-13 |
| DOI: | 10.32614/CRAN.package.cmAnalysis |
| Author: | Jos Hageman [aut, cre], Jarl Kampen [aut] |
| Maintainer: | Jos Hageman <jos.hageman at wur.nl> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | cmAnalysis results |
| Reference manual: | cmAnalysis.pdf |
| Package source: | cmAnalysis_1.0.0.tar.gz |
| Windows binaries: | r-devel: cmAnalysis_1.0.0.zip, r-release: cmAnalysis_1.0.0.zip, r-oldrel: cmAnalysis_1.0.0.zip |
| macOS binaries: | r-devel (arm64): cmAnalysis_1.0.0.tgz, r-release (arm64): cmAnalysis_1.0.0.tgz, r-oldrel (arm64): cmAnalysis_1.0.0.tgz, r-devel (x86_64): cmAnalysis_1.0.0.tgz, r-release (x86_64): cmAnalysis_1.0.0.tgz, r-oldrel (x86_64): cmAnalysis_1.0.0.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.