Heatgrid

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 = 3,
  ...
)

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 3.

...

... 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)