swamp: Visualization, analysis and adjustment of high-dimensional data in respect to sample annotations

The package contains 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: 1.2.3
Depends: impute, amap, gplots, MASS
Published: 2013-03-13
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

Downloads:

Reference manual: swamp.pdf
Package source: swamp_1.2.3.tar.gz
MacOS X binary: swamp_1.2.3.tgz
Windows binary: swamp_1.2.3.zip
Old sources: swamp archive