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.


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install.packages("swamp")

1.4.1 by Martin Lauss, 10 months ago


Browse source code at https://github.com/cran/swamp


Authors: Martin Lauss


Documentation:   PDF Manual  


GPL (>= 2) license


Depends on impute, amap, gplots, MASS


See at CRAN