Process and Visualise Concept Mapping Data
Overview
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.
- Improved
conceptMapping()so the cluster range now adjusts automatically to the number of statements, with a message when this happens.
From NEWS.md in the release
Install
Health
NOTER code for possible problemsr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64
Found calls to structure() using deprecated special names: cmAnalysis/R/abbreviateStatements.R (.Names: 1) '.Names' should be changed to 'names'.
- NOTE8 OK, 5 NOTENow
- NOTE11 OK, 2 NOTE2026-07-16
- OK13 OK2026-06-09
- ERROR12 OK, 1 ERROR2026-06-08
- OK14 OK2026-03-10
Documentation
- Help pages
- 14
- Examples that run
- 100%14 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 7%
Downloads
Dependencies
Code & Tests
People & History
Package metadata
- First published
- 2025-03-13
- Total releases
- 3 / 1 yrs
- License
- GPL-3 OSI
- Download size
- 26 KB
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