Ubuntu
r-cran-heatmaply package

r-cran-heatmaply 1.5.0+dfsg-1 source package in Ubuntu

Changelog

r-cran-heatmaply (1.5.0+dfsg-1) unstable; urgency=medium

  * New upstream version
  * dh-update-R to update Build-Depends (routine-update)

 -- Andreas Tille <email address hidden>  Thu, 12 Oct 2023 19:52:41 +0200

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
Oracular release universe misc
Noble release universe misc

Builds

Noble: [FULLYBUILT] amd64

Downloads

File Size SHA-256 Checksum
r-cran-heatmaply_1.5.0+dfsg-1.dsc 2.4 KiB 6380815a6c8b0be2f65b41ca0b698464c441a5f04b60aea087efd232a5872e55
r-cran-heatmaply_1.5.0+dfsg.orig.tar.xz 75.4 KiB c2181422e2ca3a61418b2a0a575ad20628f80cccc156e2b0aeb5b014c8af6f8c
r-cran-heatmaply_1.5.0+dfsg-1.debian.tar.xz 3.2 KiB 450b3f009a02f70d4f3e0c0dbb0e48cda79a83a427478d08e17c18125e53e910

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'.