Package: amap 0.8-20
amap: Another Multidimensional Analysis Package
Tools for Clustering and Principal Component Analysis (With robust methods, and parallelized functions).
Authors:
amap_0.8-20.tar.gz
amap_0.8-20.zip(r-4.5)amap_0.8-20.zip(r-4.4)amap_0.8-20.zip(r-4.3)
amap_0.8-20.tgz(r-4.4-x86_64)amap_0.8-20.tgz(r-4.4-arm64)amap_0.8-20.tgz(r-4.3-x86_64)amap_0.8-20.tgz(r-4.3-arm64)
amap_0.8-20.tar.gz(r-4.5-noble)amap_0.8-20.tar.gz(r-4.4-noble)
amap_0.8-20.tgz(r-4.4-emscripten)amap_0.8-20.tgz(r-4.3-emscripten)
amap.pdf |amap.html✨
amap/json (API)
# Install 'amap' in R: |
install.packages('amap', repos = c('https://antoinelucas64.r-universe.dev', 'https://cloud.r-project.org')) |
- lubisch - Dataset Lubischew
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 1 months agofrom:0a7ceeb400. Checks:OK: 9. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 21 2024 |
R-4.5-win-x86_64 | OK | Nov 21 2024 |
R-4.5-linux-x86_64 | OK | Nov 21 2024 |
R-4.4-win-x86_64 | OK | Nov 21 2024 |
R-4.4-mac-x86_64 | OK | Nov 21 2024 |
R-4.4-mac-aarch64 | OK | Nov 21 2024 |
R-4.3-win-x86_64 | OK | Nov 21 2024 |
R-4.3-mac-x86_64 | OK | Nov 21 2024 |
R-4.3-mac-aarch64 | OK | Nov 21 2024 |
Exports:acpacpgenacprobafcbiplot.acpburtdissDisthclusterhclusterparKKmeansmatlogicpcaplot.acpplot2plotAllpopprint.acpvarrobW
Dependencies:
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Principal component analysis | acp pca print.acp |
Generalised principal component analysis | acpgen K W |
Robust principal component analysis | acprob |
Correspondance factorial analysis. | afc |
Compute burt table from a factor dataframe. | burt matlogic |
Compute a dissimilarity matrix | diss |
Distance Matrix Computation | Dist |
Hierarchical Clustering | hcluster hclusterpar |
K-Means Clustering | Kmeans |
Dataset Lubischew | lubisch |
Graphics for Principal component Analysis | biplot.acp plot.acp plot2 plotAll |
Optimal Partition (classification). | pop |
Robust variance | varrob |