geom_heat_grid: Heatgrid

In ggDoubleHeat: A Heatmap-Like Visualization Tool

Heatgrid

Description

The heatgrid geom is used to create a modified heat map that uses luminance to show the values from two sources on the same plot.

Usage

geom_heat_grid(
  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 heatgrid.
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 heatgrid.
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 heatgrid comparing two data sources.

Examples

# heatgrid 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_grid(outside = outside_values,
               inside = inside_values)

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

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

# heatgrid 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_grid(outside = outside_values,
               inside = inside_values)


# heatgrid 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_grid(outside = outside_values,
               inside = inside_values)

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