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swamp
View on CRAN: Click
here
Download and install swamp package within the R console
Install from CRAN:
install.packages("swamp")
Install from Github:
library("remotes")
install_github("cran/swamp")
Install by package version:
library("remotes")
install_version("swamp", "1.5.1")
Attach the package and use:
library("swamp")
Maintained by
Martin Lauss
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2011-01-28
Latest Update: 2019-12-06
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.
How to cite:
Martin Lauss (2011). swamp: Visualization, Analysis and Adjustment of High-Dimensional Data in Respect to Sample Annotations. R package version 1.5.1, https://cran.r-project.org/web/packages/swamp
Previous versions and publish date:
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Other R packages that swamp depends,
imports, suggests or enhances
Functions, R codes and Examples using
the swamp R package
Some associated functions: adjust.linearmodel . combat . confounding . corrected.p . dense.plot . feature.assoc . hca.plot . hca.test . kill.pc . prince . prince.plot . prince.var.plot . quickadjust.ref . quickadjust.zero . swamp-package .
Some associated R codes: adjust.linearmodel.R . combat.R . confounding.R . corrected.p.R . dense.plot.R . feature.assoc.R . hca.plot.R . hca.test.R . prince.R . prince.plot.R . prince.var.plot.R . quickadjust.ref.R . quickadjust.zero.R . Full swamp package functions and examples
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