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
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

Documentation:

Reference manual:

swamp.pdf

Downloads:

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

Linking:

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