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:Martin Lauss

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'))

Peer review:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

14 exports 1.24 score 8 dependencies 1 dependents 3 mentions 28 scripts 224 downloads

Last updated 5 years agofrom:82c1ddfeb8. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 17 2024
R-4.5-winOKSep 17 2024
R-4.5-linuxOKSep 17 2024
R-4.4-winOKSep 17 2024
R-4.4-macOKSep 17 2024
R-4.3-winOKSep 17 2024
R-4.3-macOKSep 17 2024

Exports:adjust.linearmodelcombatconfoundingcorrected.pdense.plotfeature.assochca.plothca.testkill.pcprinceprince.plotprince.var.plotquickadjust.refquickadjust.zero

Dependencies:amapbitopscaToolsgplotsgtoolsimputeKernSmoothMASS