License | Description | Installation | CRAN | Latest development version | Usage | A simple example | A plot with more than one cluster number | A trimmed plot | Plot without trimming | Plot with default (winzorized) trimming | Median-centering | Row-wise centering without trimming | References
Package: PAMhm 0.1.2
Vidal Fey
PAMhm: Generate Heatmaps Based on Partitioning Around Medoids (PAM)
Data are partitioned (clustered) into k clusters "around medoids", which is a more robust version of K-means implemented in the function pam() in the 'cluster' package. The PAM algorithm is described in Kaufman and Rousseeuw (1990) <doi:10.1002/9780470316801>. Please refer to the pam() function documentation for more references. Clustered data is plotted as a split heatmap allowing visualisation of representative "group-clusters" (medoids) in the data as separated fractions of the graph while those "sub-clusters" are visualised as a traditional heatmap based on hierarchical clustering.
Authors:
PAMhm_0.1.2.tar.gz
PAMhm_0.1.2.tar.gz(r-4.7-any)PAMhm_0.1.2.tar.gz(r-4.6-any)
PAMhm_0.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
PAMhm/json (API)
| # Install 'PAMhm' in R: |
| install.packages('PAMhm', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:af3755892d. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 187 | ||
| source / vignettes | OK | 223 | ||
| linux-release-x86_64 | OK | 137 | ||
| wasm-release | OK | 109 |
Exports:PAM.hm
Dependencies:BiobaseBiocGenericscellrangercliclustercpp11crayonDEoptimRfarvergenericsggplot2gluegtableheatmapFlexHeatplushmsisobandlabelinglifecyclemagrittrMASSperrypillarpkgconfigplyrprettyunitsprogressR.methodsS3R.ooR.utilsR6RColorBrewerRcppRcppArmadilloreadmoRereadxlrematchrlangrobustbaserobustHDS7scalestibbleutf8vctrsviridisLitewithrxml2
