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heatmaply
View on CRAN: Click
here
Download and install heatmaply package within the R console
Install from CRAN:
install.packages("heatmaply")
Install from Github:
library("remotes")
install_github("cran/heatmaply")
Install by package version:
library("remotes")
install_version("heatmaply", "1.5.0")
Attach the package and use:
library("heatmaply")
Maintained by
Tal Galili
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.heatmaply . https://github.com/talgalili/heatmaply/issues . https://talgalili.github.io/heatmaply/ . https://cran.r-project.org/package=heatmaply . https://github.com/talgalili/heatmaply/ . https://www.r-statistics.com/tag/heatmaply/ . heatmaply citation info . heatmaply results . heatmaply.pdf . Introduction to heatmaply . heatmaply_1.5.0.tar.gz . heatmaply_1.5.0.zip . heatmaply_1.5.0.zip . heatmaply_1.5.0.zip . heatmaply_1.5.0.tgz . heatmaply_1.5.0.tgz . heatmaply_1.5.0.tgz . heatmaply_1.5.0.tgz . heatmaply_1.5.0.tgz . heatmaply_1.5.0.tgz . heatmaply archive . https://CRAN.R-project.org/package=heatmaply .
First Published: 2016-05-26
Latest Update: 2023-10-06
Description:
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' to 'heatmap.2' 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'.
How to cite:
Tal Galili (2016). heatmaply: Interactive Cluster Heat Maps Using 'plotly' and 'ggplot2'. R package version 1.5.0, https://cran.r-project.org/web/packages/heatmaply. Accessed 10 Apr. 2025.
Previous versions and publish date:
0.3.2 (2016-05-26 17:50), 0.5.0 (2016-08-27 13:51), 0.6.0 (2016-11-06 00:17), 0.7.0 (2017-01-22 12:38), 0.8.2 (2017-03-21 07:50), 0.9.1 (2017-04-14 16:49), 0.10.1 (2017-05-27 18:07), 0.11.1 (2017-09-27 21:39), 0.12.1 (2017-10-26 22:52), 0.13.0 (2017-11-13 11:36), 0.14.0 (2018-01-20 16:31), 0.14.1 (2018-02-01 23:27), 0.15.0 (2018-06-23 09:12), 0.15.2 (2018-07-06 15:00), 0.16.0 (2019-05-12 01:00), 1.0.0 (2019-12-05 20:40), 1.1.0 (2020-03-28 06:50), 1.1.1 (2020-08-25 08:40), 1.2.0 (2021-01-29 15:50), 1.2.1 (2021-02-02 11:50), 1.3.0 (2021-10-09 17:00), 1.4.0 (2022-10-08 13:00), 1.4.2 (2023-01-07 04:20)
Other packages that cited heatmaply R package
View heatmaply citation profile
Other R packages that heatmaply depends,
imports, suggests or enhances
Complete documentation for heatmaply
Functions, R codes and Examples using
the heatmaply R package
Some associated functions: RColorBrewer_colors . ggheatmap . ggplot_side_color_plot . heatmaply . heatmapr . is.heatmapr . is.na10 . is.plotly . normalize . percentize .
Some associated R codes: RColorBrewer.R . distfuns.R . ggheatmap.R . heatmaply.R . heatmapr.R . is.na10.R . percentize.R . plots.R . zzz.R . Full heatmaply package functions and examples
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