Package: swamp 1.5.1
swamp: Visualization, Analysis and Adjustment of High-Dimensional Data in Respect to Sample Annotations
Collection of functions to connect the structure of the data with the information on the samples. Three types of associations are covered: 1. linear model of principal components. 2. hierarchical clustering analysis. 3. distribution of features-sample annotation associations. Additionally, the inter-relation between sample annotations can be analyzed. Simple methods are provided for the correction of batch effects and removal of principal components.
Authors:
swamp_1.5.1.tar.gz
swamp_1.5.1.zip(r-4.5)swamp_1.5.1.zip(r-4.4)swamp_1.5.1.zip(r-4.3)
swamp_1.5.1.tgz(r-4.4-any)swamp_1.5.1.tgz(r-4.3-any)
swamp_1.5.1.tar.gz(r-4.5-noble)swamp_1.5.1.tar.gz(r-4.4-noble)
swamp_1.5.1.tgz(r-4.4-emscripten)swamp_1.5.1.tgz(r-4.3-emscripten)
swamp.pdf |swamp.html✨
swamp/json (API)
| # Install 'swamp' in R: |
| install.packages('swamp', repos = c('https://lau-mel.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 5 years agofrom:82c1ddfeb8. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 16 2024 |
| R-4.5-win | OK | Nov 16 2024 |
| R-4.5-linux | OK | Nov 16 2024 |
| R-4.4-win | OK | Nov 16 2024 |
| R-4.4-mac | OK | Nov 16 2024 |
| R-4.3-win | OK | Nov 16 2024 |
| R-4.3-mac | OK | Nov 16 2024 |
Exports:adjust.linearmodelcombatconfoundingcorrected.pdense.plotfeature.assochca.plothca.testkill.pcprinceprince.plotprince.var.plotquickadjust.refquickadjust.zero
Dependencies:amapbitopscaToolsgplotsgtoolsimputeKernSmoothMASS
