geom_heat_circle: Heatcircle

In ggDoubleHeat: A Heatmap-Like Visualization Tool

Heatcircle

Description

The heatcircle geom is used to create the two concentric circles that use luminance to show the values from two sources on the same plot.

Usage

geom_heat_circle(
  outside,
  outside_name = NULL,
  outside_colors = c("#FED7D8", "#FE8C91", "#F5636B", "#E72D3F", "#C20824"),
  inside,
  inside_name = NULL,
  inside_colors = c("gray100", "gray85", "gray50", "gray35", "gray0"),
  r = 2 * sqrt(2),
  ...
)

Arguments

outside	The column name for the outside portion of heatcircle.
outside_name	The label name (in quotes) for the legend of the outside rendering. Default is NULL.
outside_colors	A color vector, usually as hex codes.
inside	The column name for the inside portion of heatcircle.
inside_name	The label name (in quotes) for the legend of the inside rendering. Default is NULL.
inside_colors	A color vector, usually as hex codes.
r	The value that controls how large of the inside portion with respect to the outside one. When r is larger, the inside get smaller. Default value is 2*sqrt(2) for achieving the equal inner and outer areas.
...	... accepts any arguments scale_fill_gradientn() has .

Value

A heatcircle comparing two data sources.

Examples

# heatcircle with categorical variables only

library(ggplot2)

data <- data.frame(x = rep(c("a", "b", "c"), 3),
                   y = rep(c("d", "e", "f"), 3),
                   outside_values = rep(c(1,5,7),3),
                   inside_values = rep(c(2,3,4),3))

ggplot(data, aes(x,y)) +
geom_heat_circle(outside = outside_values,
                 inside = inside_values)


# Making the inside smaller by setting r to be larger.

ggplot(data, aes(x,y)) +
geom_heat_circle(outside = outside_values,
                 inside = inside_values,
                 r = 5)


# heatcircle with numeric variables only

data <- data.frame(x = rep(c(1, 2, 3), 3),
                   y = rep(c(1, 2, 3), 3),
                   outside_values = rep(c(1,5,7),3),
                   inside_values = rep(c(2,3,4),3))

ggplot(data, aes(x,y)) +
geom_heat_circle(outside = outside_values,
                 inside = inside_values)


# heatcircle with a mixture of numeric and categorical variables

data <- data.frame(x = rep(c("a", "b", "c"), 3),
                   y = rep(c(1, 2, 3), 3),
                   outside_values = rep(c(1,5,7),3),
                   inside_values = rep(c(2,3,4),3))

ggplot(data, aes(x,y)) +
geom_heat_circle(outside = outside_values,
                 inside = inside_values)

ggDoubleHeat documentation built on Aug. 25, 2023, 1:07 a.m.