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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.5.1 |
rolling linux/jammy R-4.5 | swamp_1.5.1.tar.gz |
31.5 KiB |
1.5.1 |
rolling linux/noble R-4.5 | swamp_1.5.1.tar.gz |
31.5 KiB |
1.5.1 |
rolling source/ R- | swamp_1.5.1.tar.gz |
31.5 KiB |
1.5.1 |
latest linux/jammy R-4.5 | swamp_1.5.1.tar.gz |
31.5 KiB |
1.5.1 |
latest linux/noble R-4.5 | swamp_1.5.1.tar.gz |
31.5 KiB |
1.5.1 |
latest source/ R- | swamp_1.5.1.tar.gz |
31.5 KiB |
1.5.1 |
2026-04-26 source/ R- | swamp_1.5.1.tar.gz |
31.5 KiB |
1.5.1 |
2026-04-23 source/ R- | swamp_1.5.1.tar.gz |
31.5 KiB |
1.5.1 |
2025-04-20 source/ R- | swamp_1.5.1.tar.gz |
31.5 KiB |