Package: cmAnalysis 1.0.3
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>.
Authors:
cmAnalysis_1.0.3.tar.gz
cmAnalysis_1.0.3.zip(r-4.7-any)cmAnalysis_1.0.3.zip(r-4.6-any)cmAnalysis_1.0.3.zip(r-4.5-any)
cmAnalysis_1.0.3.tgz(r-4.6-any)cmAnalysis_1.0.3.tgz(r-4.5-any)
cmAnalysis_1.0.3.tar.gz(r-4.7-any)cmAnalysis_1.0.3.tar.gz(r-4.6-any)
cmAnalysis_1.0.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
cmAnalysis/json (API)
| # Install 'cmAnalysis' in R: |
| install.packages('cmAnalysis', repos = c('https://joshageman.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/joshageman/cmanalysis/issues
Last updated from:79d7b7c8d8. Checks:2 NOTE, 7 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | NOTE | 156 | ||
| source / vignettes | OK | 180 | ||
| linux-release | OK | 151 | ||
| macos-release | OK | 119 | ||
| macos-oldrel | OK | 127 | ||
| windows-devel | NOTE | 99 | ||
| windows-release | OK | 93 | ||
| windows-oldrel | OK | 103 | ||
| wasm-release | OK | 144 |
Exports:abbreviateStatementscheckConceptMapDataconceptMappingcreateStatementOverviewcrossClusterMapnumberOfSortersnumberOfStatementsprintSortersselectStatementssimulateCardDatasorterMapping
Dependencies:abindbackportsbase64encbootbroombslibcachemcarcarDatacliclueclustercolorspacecorrplotcowplotcpp11crosstalkdendextendDerivdigestdoBydplyrDTellipseemmeansestimabilityevaluatefactoextraFactoMineRfarverfastmapflashClustfontawesomeforecastFormulafracdifffsgenericsggplot2ggpubrggrepelggsciggsignifgluegridExtragtablehighrhtmltoolshtmlwidgetsigraphirlbaisobandjquerylibjsonliteknitrlabelinglaterlatticelazyevalleapslifecyclelme4lmtestmagrittrMASSMatrixMatrixModelsmemoisemgcvmimeminqamodelrmultcompViewmvtnormnlmenloptrnnetnumDerivotelpbkrtestpheatmappillarpkgconfigpolynompromisespurrrquantregR6rappdirsrbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrlangrmarkdownrstatixS7sassscalesscatterplot3dshowtextshowtextdbSparseMstringistringrsurvivalsysfontstibbletidyrtidyselecttimeDatetinytexurcautf8vctrsviridisviridisLitewithrxfunyamlzoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Abbreviate Statements in Concept Map Data | abbreviateStatements |
| Validate Concept Map Data | checkConceptMapData |
| Perform Concept Mapping Analysis | conceptMapping |
| Create an Overview of Statements in Concept Map Data | createStatementOverview |
| Cross-Cluster Mapping Between Concept Maps | crossClusterMap |
| Count the Number of Sorters in Concept Map Data | numberOfSorters |
| Count the Number of Statements in Concept Map Data | numberOfStatements |
| Plot a Concept Map | plot.conceptMap |
| Print a Concept Map Object | print.conceptMap |
| Print and Return Unique Sorters in Concept Map Data | printSorters |
| Select Significant Statements from Concept Map Data | selectStatements |
| Simulate Card Sorting Data | simulateCardData |
| Cluster Sorters in Concept Mapping Data | sorterMapping |
| Summary of a Concept Map Object | summary.conceptMap |