Package: FactoClass 1.2.9
FactoClass: Combination of Factorial Methods and Cluster Analysis
Some functions of 'ade4' and 'stats' are combined in order to obtain a partition of the rows of a data table, with columns representing variables of scales: quantitative, qualitative or frequency. First, a principal axes method is performed and then, a combination of Ward agglomerative hierarchical classification and K-means is performed, using some of the first coordinates obtained from the previous principal axes method. In order to permit different weights of the elements to be clustered, the function 'kmeansW', programmed in C++, is included. It is a modification of 'kmeans'. Some graphical functions include the option: 'gg=FALSE'. When 'gg=TRUE', they use the 'ggplot2' and 'ggrepel' packages to avoid the super-position of the labels.
Authors:
FactoClass_1.2.9.tar.gz
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FactoClass.pdf |FactoClass.html✨
FactoClass/json (API)
# Install 'FactoClass' in R: |
install.packages('FactoClass', repos = c('https://cepardot.r-universe.dev', 'https://cloud.r-project.org')) |
- Bogota - Localities by Stratums in Bogota City
- ColorAdjective - Associations between colors and adjectives.
- DogBreeds - Dog Breeds
- Vietnam - Student opinions about the Vietnam War
- Whisky - Whisky example
- admi - Admitted students to the seven careers of the Science Faculty
- cafe - Cofee cups
- icfes08 - Departmenst by Levels of Schools in Colombia
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 10 months agofrom:b5e7166e71. Checks:OK: 9. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 17 2024 |
R-4.5-win-x86_64 | OK | Nov 17 2024 |
R-4.5-linux-x86_64 | OK | Nov 17 2024 |
R-4.4-win-x86_64 | OK | Nov 17 2024 |
R-4.4-mac-x86_64 | OK | Nov 17 2024 |
R-4.4-mac-aarch64 | OK | Nov 17 2024 |
R-4.3-win-x86_64 | OK | Nov 17 2024 |
R-4.3-mac-x86_64 | OK | Nov 17 2024 |
R-4.3-mac-aarch64 | OK | Nov 17 2024 |
Exports:addgrids3danalisis.cluscentroidschisq.caraccluster.caracdudi.texFac.NumFactoClassFactoClass.texkmeansWkmnswlatexlatexDFlist.to.dataplot.dudiplotccplotctplotFactoClassplotfpplotpairsprint.FactoClassprint.FactoClass.texroundDFstableclussupqualsutil.gridward.cluster
Dependencies:ade4clicolorspacefansifarverggplot2ggrepelgluegtableisobandKernSmoothlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpixmappkgconfigR6RColorBrewerRcppRcppArmadillorlangscalesscatterplot3dsptibbleutf8vctrsviridisLitewithrxtable