Package: Mercator 1.1.7

Kevin R. Coombes

Mercator: Clustering and Visualizing Distance Matrices

Defines the classes used to explore, cluster and visualize distance matrices, especially those arising from binary data. See Abrams and colleagues, 2021, <doi:10.1093/bioinformatics/btab037>.

Authors:Kevin R. Coombes [aut, cre], Caitlin E. Coombes [aut]

Mercator_1.1.7.tar.gz
Mercator_1.1.7.tar.gz(r-4.7-any)Mercator_1.1.7.tar.gz(r-4.6-any)
Mercator_1.1.7.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION |NEWS
card.svg |card.png
Mercator/json (API)

# Install 'Mercator' in R:
install.packages('Mercator', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://r-forge.r-project.org/projects/oompa

Datasets:

On CRAN:

Conda:

clustering

4.43 score 1 packages 30 scripts 681 downloads 347 mentions 19 exports 71 dependencies

Last updated from:8b381841ed. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK236
source / vignettesOK251
linux-release-x86_64OK251
wasm-releaseOK127

Exports:addVisualizationbarplotbinaryDistanceBinaryMatrixdownsamplegetClustershistMercatorplotreclusterrecolorremapColorsremoveDuplicateFeaturesremoveDuplicatesscattersetClustersshowtthreshLGF

Dependencies:ade4askpassBiobaseBiocGenericschangepointClassDiscoverycliclueclustercolorspacecpmcpp11dendextendfarverflexmixgenericsggplot2gluegridExtragtablehereigraphisobandjsonlitekernlabKernSmoothkohonenlabelinglatticelifecyclemagrittrMASSMatrixmclustmodeltoolsmovMFnnetoompaBaseoompaDataopensslPCDimensionpixmappkgconfigpngPolychromeR6rappdirsRColorBrewerRcppRcppArmadilloRcppEigenRcppTOMLreticulaterlangrprojrootRSpectraRtsneS7scalesscatterplot3dskmeansslamspsysThresherumapvctrsviridisviridisLitewithrzoo

UMAP and SOM from Distance Matrices
Introduction | The Mercator Class | UMAP | Euclideanization | Self-Organizing Maps | Warning | Conclusions | Appendix

Last update: 2021-07-16
Started: 2021-07-16

Using the Mercator Package
Introduction | The BinaryMatrix Class | A Limited Sample Dataset | Generating the BinaryMatrix | Remove Duplicates | Data Filtering with Thresher | Visualization | Jaccard Distance | Hierarchical Clustering | t-Distributed Stochastic Neighbor Embedding | Multi-Dimensional Scaling | Silhouette-Width Barplots | iGraph | Cluster Identities | Sokal-Michener Metric | Changing the Color Palette | References

Last update: 2021-01-10
Started: 2019-08-02

Mercator for Continuous Data
Introduction | The Mercator Class | Visualization | Hierarchical Clustering | t-Distributed Stochastic Neighbor Embedding | Multi-Dimensional Scaling | iGraph | Cluster Identities | Silhouette-Width Barplots | Reclustering | Hierarchical Clusters | True Clusters | Appendix

Last update: 2020-08-24
Started: 2020-08-24

Readme and manuals

Help Manual

Help pageTopics
Binary Distance Definitions Across MethodsbinaryDistance goodmanKruskalDistance goodmanKruskalSimilarity hammingDistance jaccardDistance jaccardSimilarity pearsonDistance pearsonSimilarity russellRaoSimilarity russelRaoDistance sokalMichenerDistance sokalMichenerSimilarity
Class '"BinaryMatrix"'BinaryMatrix BinaryMatrix-class dim,BinaryMatrix-method hist,BinaryMatrix-method print,BinaryMatrix-method show,BinaryMatrix-method summary,BinaryMatrix-method t,BinaryMatrix-method validBinaryMatrix [,BinaryMatrix,ANY,ANY,ANY-method
Downsampling a Distance Visualization to Facilitate iGraphdownsample
The 'Mercator' Distance Visualization ObjectaddVisualization barplot,Mercator-method dim,Mercator-method getClusters hist,Mercator-method Mercator Mercator-class plot,Mercator,missing-method scatter,Mercator-method summary,Mercator-method [,Mercator,ANY,ANY,ANY-method
CML Cytogenetic DataCML1000 CML500 fakeclin fakedata lgfFeatures mercator-data
Remove Duplicate Features or Samples from a Binary Matrix ObjectremoveDuplicateFeatures removeDuplicates
Changing Cluster and Color Assignments in Mercatorrecluster recolor remapColors setClusters
Threshing and Reaping the 'BinaryMatrix'ThreshedBinaryMatrix ThreshedBinaryMatrix-class threshLGF