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.

AuthorMartin Lauss
Date of publication2013-03-13 14:11:11
MaintainerMartin Lauss <martin.lauss@med.lu.se>
LicenseGPL (>= 2)

View on CRAN

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.