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cmAnalysis (version 1.0.0)

Process and Visualise Concept Mapping Data

Description

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.

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Version

Install

install.packages('cmAnalysis')

Monthly Downloads

474

Version

1.0.0

License

GPL-3

Maintainer

Jos Hageman

Last Published

March 13th, 2025

Functions in cmAnalysis (1.0.0)

numberOfStatements

Count the Number of Statements in Concept Map Data
sorterMapping

Cluster Sorters in Concept Mapping Data
plot.conceptMap

Plot a Concept Map
createStatementOverview

Create an Overview of Statements in Concept Map Data
summary.conceptMap

Summary of a Concept Map Object
selectStatements

Select Significant Statements from Concept Map Data
simulateCardData

Simulate Card Sorting Data
printSorters

Print and Return Unique Sorters in Concept Map Data
abbreviateStatements

Abbreviate Statements in Concept Map Data
numberOfSorters

Count the Number of Sorters in Concept Map Data
conceptMapping

Perform Concept Mapping Analysis
print.conceptMap

Print a Concept Map Object
crossClusterMap

Cross-Cluster Mapping Between Concept Maps
checkConceptMapData

Validate Concept Map Data