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Mercator  

Clustering and Visualizing Distance Matrices
View on CRAN: Click here


Download and install Mercator package within the R console
Install from CRAN:
install.packages("Mercator")

Install from Github:
library("remotes")
install_github("cran/Mercator")

Install by package version:
library("remotes")
install_version("Mercator", "1.1.5")



Attach the package and use:
library("Mercator")
Maintained by
Kevin R. Coombes
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-08-02
Latest Update: 2022-06-30
Description:
Defines the classes used to explore, cluster and visualize distance matrices, especially those arising from binary data. See Abrams and colleagues, 2021, .
How to cite:
Kevin R. Coombes (2019). Mercator: Clustering and Visualizing Distance Matrices. R package version 1.1.5, https://cran.r-project.org/web/packages/Mercator. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.8.8 (2019-08-02 13:20), 0.9.5 (2019-08-29 15:10), 0.9.6 (2020-01-08 10:40), 0.10.0 (2020-03-06 19:30), 0.11.2 (2020-08-25 00:10), 0.11.5 (2020-11-12 06:40), 0.99.0 (2021-01-11 00:30), 1.0.0 (2021-02-12 11:10), 1.1.1 (2021-07-16 15:30), 1.1.2 (2022-06-30 18:20), 1.1.4 (2024-04-28 17:40)
Other packages that cited Mercator R package
View Mercator citation profile
Other R packages that Mercator depends, imports, suggests or enhances
Complete documentation for Mercator
Functions, R codes and Examples using the Mercator R package
Some associated functions: Mercator-class . binaryDistance . binaryMatrix . coloring . datasets . downsample . removeDuplicateFeatures . threshLGF . 
Some associated R codes: 01-metrics.R . 02-binaryMatrix.R . 03-thresh.R . 04-vis.R . 05-graph.R . 06-som-umap.R .  Full Mercator package functions and examples
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