side_color_plot

A "molten" data.frame as produced by (eg) reshape2::melt

A function which can return colors to be used in the sidebar
plot

palette

Title of the color scale. Not currently used.

scale_title

Horizontal or vertical plot? Valid values are "column" and "row"

type

the angle of the text of the rows/columns.

row_text_angle, column_text_angle

Use if the values in df are valid colours and should not be mapped
to a color scheme, and instead should be plotted directly.

is_colors

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
the 'dendrogram' panes.

side_color_plot: geom_tile for side color plots

Description

Usage

Arguments

Value