swamp
Visualization, Analysis and Adjustment of High-Dimensional Data in Respect to Sample Annotations
v1.5.1
·
Dec 6, 2019
·
GPL (>= 2)
Description
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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| r-devel-linux-x86_64-debian-gcc | NOTE |
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| r-devel-macos-arm64 | OK |
| r-devel-windows-x86_64 | OK |
| r-oldrel-macos-arm64 | OK |
| r-oldrel-macos-x86_64 | OK |
| r-oldrel-windows-x86_64 | OK |
| r-patched-linux-x86_64 | OK |
| r-release-linux-x86_64 | OK |
| r-release-macos-arm64 | OK |
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| r-release-windows-x86_64 | OK |
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NOTE 12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 9, 2026
NOTE
r-devel-linux-x86_64-debian-clang
CRAN incoming feasibility
Maintainer: ‘Martin Lauss <martin.lauss@med.lu.se>’
No Authors@R field in DESCRIPTION.
Please add one, modifying
Authors@R: person(given = "Martin",
family = "Lauss",
role = c("aut", "cre"),
email = "martin.lauss@med.lu.se")
as necessary.
NOTE
r-devel-linux-x86_64-debian-gcc
CRAN incoming feasibility
Maintainer: ‘Martin Lauss <martin.lauss@med.lu.se>’
No Authors@R field in DESCRIPTION.
Please add one, modifying
Authors@R: person(given = "Martin",
family = "Lauss",
role = c("aut", "cre"),
email = "martin.lauss@med.lu.se")
as necessary.
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1.5.1
Mar 9, 2026