Title: Tools to Generate Flexible Heatmaps
Description: A set of tools supporting more flexible heatmaps. The graphics is grid-like using
the old graphics system. The main function is heatmap.n2(), which is a wrapper around the various functions
constructing individual parts of the heatmap, like sidebars, picket plots, legends etc. The function supports zooming
and splitting, i.e., having (unlimited) small heatmaps underneath each other in one plot deriving from the same data set,
e.g., clustered and ordered by a supervised clustering method.
Depends: Biobase, Heatplus, grDevices, stats, graphics

Title: Interactive Heat Maps Using 'plotly'
Description: Create interactive heatmaps that are usable from the R console,
in the 'RStudio' viewer pane, in 'R Markdown' documents, and in 'Shiny' apps.
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 'd3heatmap', with the advantage of speed
('plotly.js' is able to handle larger size matrix), and the ability to zoom from
Depends: R (>= 3.0.0), plotly (>= 3.6.0), viridis
Imports: ggplot2, dendextend, magrittr (>= 1.0.1), reshape2, scales,
Author: Tal Galili [aut, cre, cph] (http://www.r-statistics.com)

Depends: R (>= 3.0.0), plotly (>= 3.0.0), viridis
Suggests: knitr, rmarkdown, gplots, htmlwidgets, RColorBrewer

Description: The different methods of defining and detecting extreme events, known as heatwaves or cold-spells in both air and water temperature data are encompassed within this package. These detection algorithms may be used on non-temperature data as well however, this is not catered for explicitly here as no use of this technique in the literature currently exists.
Authors@R: c(person("Robert W.", "Schlegel", role = c("aut", "cre", "ctb"),
person("Albertus J.", "Smit", role = c("aut", "ctb"),
Maintainer: Robert W. Schlegel <robwschlegel@gmail.com>
Depends: R (>= 3.00), data.table, ggplot2
Imports: tibble, lubridate, dplyr, stats, utils, zoo, grid, RcppRoll,
Author: Robert W. Schlegel [aut, cre, ctb]
Albertus J. Smit [aut, ctb] (<https://orcid.org/0000-0002-3799-6126>)