cmAnalysis: Process and Visualise Concept Mapping Data

Concept maps are versatile tools used across disciplines to enhance understanding, teaching, brainstorming, and information organization. This package provides functions for processing and visualizing concept mapping data, involving 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. The methodology and its validity are discussed in Kampen, J.K., Hageman, J.A., Breuer, M., & Tobi, H. (2025). "The validity of concept mapping: let's call a spade a spade." Qual Quant. <doi:10.1007/s11135-025-02351-z>.

Version:	1.0.1
Imports:	cluster, ggplot2, factoextra, clue, igraph, stringr, pheatmap
Published:	2025-09-02
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
Materials:	NEWS
CRAN checks:	cmAnalysis results

Documentation:

Reference manual:

cmAnalysis.html , cmAnalysis.pdf

Downloads:

Package source:	cmAnalysis_1.0.1.tar.gz
Windows binaries:	r-devel: cmAnalysis_1.0.0.zip, r-release: cmAnalysis_1.0.0.zip, r-oldrel: cmAnalysis_1.0.1.zip
macOS binaries:	r-release (arm64): cmAnalysis_1.0.0.tgz, r-oldrel (arm64): cmAnalysis_1.0.0.tgz, r-release (x86_64): cmAnalysis_1.0.1.tgz, r-oldrel (x86_64): cmAnalysis_1.0.1.tgz
Old sources:	cmAnalysis archive

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