Pakiet: r-cran-dendextend (1.14.0+dfsg-1)

[ Pakiet źródłowy: r-cran-dendextend  ]

Extending 'dendrogram' Functionality in GNU R

Offers a set of functions for extending 'dendrogram' objects in R, letting you visualize and compare trees of 'hierarchical clusterings'. You can

 (1) Adjust a tree's graphical parameters - the color, size, type, etc
     of its branches, nodes and labels.
 (2) Visually and statistically compare different 'dendrograms' to
     one another.

Inne pakiety związane z r-cran-dendextend

• dep: r-api-4.0

  pakiet wirtualny udostępniany przez r-base-core

• dep: r-base-core (>= 4.0.2-1)

  GNU R core of statistical computation and graphics system

• dep: r-cran-ggplot2

  implementation of the Grammar of Graphics

• dep: r-cran-magrittr (>= 1.0.1)

  GNU R forward-pipe operator

• dep: r-cran-viridis

  GNU R package for color maps from matplotlib

• rec: r-cran-pvclust

  Hierarchical Clustering with P-Values via Multiscale Bootstrap

• rec: r-cran-testthat

  GNU R testsuite

• sug: r-cran-ape

  GNU R package for Analyses of Phylogenetics and Evolution

• sug: r-cran-circlize (>= 0.2.5)

  Circular Visualization

• sug: r-cran-cluster

  GNU R package for cluster analysis by Rousseeuw et al

• sug: r-cran-colorspace

  GNU R Color Space Manipulation

• sug: r-cran-corrplot

  Visualization of a Correlation Matrix

• sug: r-cran-covr

  test coverage for GNU R packages

• sug: r-cran-dynamictreecut

  Methods for Detection of Clusters in Hierarchical Clustering

• sug: r-cran-fpc

  GNU R flexible procedures for clustering

• sug: r-cran-gplots

  GNU R package with tools for plotting data by Greg Warnes et al

• sug: r-cran-heatmaply

  GNU R interactive cluster heat maps using 'plotly'

• sug: r-cran-knitr

  GNU R package for dynamic report generation using Literate Programming

• sug: r-cran-mass

  GNU R package of Venables and Ripley's MASS

• sug: r-cran-rmarkdown

  convert R markdown documents into a variety of formats

• sug: r-cran-seriation

  GNU R infrastructure for ordering objects using seriation

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