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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.
Getting started
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Package details |
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| Author | Martin Lauss |
| Maintainer | Martin Lauss <martin.lauss@med.lu.se> |
| License | GPL (>= 2) |
| Version | 1.5.1 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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