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r-cran-heatmaply package

r-cran-heatmaply 1.0.0+dfsg-1 source package in Ubuntu

Changelog

r-cran-heatmaply (1.0.0+dfsg-1) unstable; urgency=medium

  * New upstream version
  * debhelper-compat 12
  * Standards-Version: 4.4.1
  * Trim trailing whitespace.
  * Set upstream metadata fields: Archive, Bug-Database, Bug-Submit,
    Repository, Repository-Browse.
  * Build-Depends: r-cran-egg

 -- Andreas Tille <email address hidden>  Tue, 14 Jan 2020 10:05:23 +0100

Upload details

Uploaded by:
Debian R Packages Maintainers
Uploaded to:
Sid
Original maintainer:
Debian R Packages Maintainers
Architectures:
all
Section:
misc
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Focal release universe misc

Builds

Focal: [FULLYBUILT] amd64

Downloads

File Size SHA-256 Checksum
r-cran-heatmaply_1.0.0+dfsg-1.dsc 2.4 KiB 36908d4f7bd38f3a74cbd82eaf643030d6591f76f2d61bfc7b058878c604d5fe
r-cran-heatmaply_1.0.0+dfsg.orig.tar.xz 68.7 KiB 724884d225f95c564bdf4760b42c5102d43e1deb96c2c16c40a55fbe137ea501
r-cran-heatmaply_1.0.0+dfsg-1.debian.tar.xz 2.7 KiB 78137721d015ed93b2dbbef002c16328d9c17e6631096b39a873662f02adf5b0

Available diffs

No changes file available.

Binary packages built by this source

r-cran-heatmaply: GNU R interactive cluster heat maps using 'plotly'

 Create interactive cluster 'heatmaps' that can be saved as a stand alone
 HTML file, embedded in 'R Markdown' documents or in a 'Shiny' app, and
 available in the 'RStudio' viewer pane. Hover the mouse pointer over a
 cell to show details or drag a rectangle to zoom. A 'heatmap' is a
 popular graphical method for visualizing high-dimensional data, in which
 a table of numbers are encoded as a grid of colored cells. The rows and
 columns of the matrix are ordered to highlight patterns and are often
 accompanied by 'dendrograms'. 'Heatmaps' are used in many fields for
 visualizing observations, correlations, missing values patterns, and
 more. Interactive 'heatmaps' allow the inspection of specific value by
 hovering the mouse over a cell, as well as zooming into a region of the
 'heatmap' by dragging a rectangle around the relevant area. This work is
 based on the 'ggplot2' and 'plotly.js' engine. It produces similar
 'heatmaps' as 'heatmap.2' or 'd3heatmap', with the advantage of speed
 ('plotly.js' is able to handle larger size matrix), the ability to zoom
 from the 'dendrogram' panes, and the placing of factor variables in the
 sides of the 'heatmap'.