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.

Version: 1.5.1
Depends: impute, amap, gplots, MASS
Imports: methods
Published: 2019-12-06
DOI: 10.32614/CRAN.package.swamp
Author: Martin Lauss
Maintainer: Martin Lauss <martin.lauss at med.lu.se>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: swamp results


Reference manual: swamp.pdf


Package source: swamp_1.5.1.tar.gz
Windows binaries: r-devel: swamp_1.5.1.zip, r-release: swamp_1.5.1.zip, r-oldrel: swamp_1.5.1.zip
macOS binaries: r-release (arm64): swamp_1.5.1.tgz, r-oldrel (arm64): swamp_1.5.1.tgz, r-release (x86_64): swamp_1.5.1.tgz, r-oldrel (x86_64): swamp_1.5.1.tgz
Old sources: swamp archive

Reverse dependencies:

Reverse imports: DExMA


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