10  geom_h

10.1 geom_hline

Package

ggplot2 (Wickham 2016)

Description

Draw a horizontal line (\(Y=c\)) for a given value of \(c\), which is known as yintercept.

Understandable aesthetics

Unlike most other geoms, geom_hline does not depend on the x and y variables that we map for the main plot. geom_hline has its own independent characteristics: yintercept. The yintercept can be passed either as a arguments or aesthetic.

See also

geom_point, geom_vline, geom_hline

Example

a1 <- ggplot(worldbankdata, aes(y = Cooking, x= Electricity)) + geom_hline(yintercept = 50) + 
  labs(title="a1: `geom_hline` only") +
  theme(aspect.ratio = 1)

a2 <- ggplot(worldbankdata, aes(y = Cooking, x=Electricity)) + 
  geom_point() + 
  geom_hline(yintercept = 50) + 
  labs(title="a2: `geom_point +\n geom_hline` both") +
  theme(aspect.ratio = 1)
a1 | a2

Illustration of (A) geom_hline and (B) use of geom_point and geom_hline both

10.2 geom_histogram

Package

ggplot2 (Wickham 2016)

Description

Visualise data using histogram.

Understandable aesthetics

Unlike most other geoms, geom_hline does not depend on the x and y variables that we map for the main plot. geom_hline has its own independent characteristics: yintercept. The yintercept can be passed either as a arguments or aesthetic.

See also

geom_density, geom_density_line, geom_freqpoly

Example

worldbankdata |>
  filter(Income == "LM") |>
  ggplot(aes(x = Electricity)) +   
  geom_histogram(col="white")

10.3 geom_histogram_pattern

Package

ggplot2 (Wickham 2016)

Description

Visualize numeric data using histogram and filled with patterns.

Understandable aesthetics

required aesthetics

x or y

optional aesthetics

alpha, colour, group, linetype, linewidth

See also

geom_histogram, geom_density, geom_density_line

10.3.1 Example

worldbankdata |>
  filter(Income == "LM") |>
  ggplot(aes(x = Electricity)) +   
  geom_histogram_pattern( pattern_color = "white",
                   pattern_fill = "black")

10.4 geom_hdr_boxplot

Package

gghdr (gghdr?)

Description

Calculates and plots the box plot of highest density regions.

Understandable aesthetics

required aesthetics

x or y

optional aesthetics

alpha, colour

See also

geom_boxplot, geom_histogram, geom_density, geom_density_line

Example

library(gghdr)
worldbankdata |>
  dplyr::filter(Year == 2021) |>
  dplyr::select(Cooking) |>
ggplot(aes(y = Cooking, x=factor(0))) + 
  geom_hdr_boxplot(fill = "#081d58")

10.5 geom_hex

Package

gghdr (gghdr?)

Description

Calculates and plots the box plot of highest density regions.

Understandable aesthetics

required aesthetics

x or y

optional aesthetics

alpha, colour, fill, group, linetype, linewidth

See also

geom_boxplot, geom_histogram, geom_density, geom_density_line

Example

library(hexbin)
library(viridis)
worldbankdata |>
  filter(Income == "LM") |>
  ggplot(aes(y = Cooking, x=Electricity)) + 
  geom_hex() + 
  scale_fill_viridis()

10.6 geom_heat_grid

Package

ggDoubleHeat (Yu and Buskirk 2023)

Description

Visualize two quantitative variables of information inside a heatmap cell using a grid.

Understandable aesthetics

required aesthetics

x, y, outside, inside

Optional aesthetics

outside_colors, outside_name, inside_colors, inside_name

See also

geom_heat_circle, geom_heat_tri

Example

library(ggDoubleHeat)
worldbankdata[254:263, ] |>
  ggplot(aes(y = Year, x=Income)) + 
  geom_heat_grid(outside = Electricity,
           inside = Cooking)

10.7 geom_heat_tri

Package

ggDoubleHeat (Yu and Buskirk 2023)

Description

Visualize two quantitative variables of information inside a heatmap cell using triangles.

Understandable aesthetics

required aesthetics

x, y, lower, upper

Optional aesthetics

lower_colors, lower_name, upper_colors, upper_name

See also

geom_heat_grid, geom_heat_tri

Example

library(ggDoubleHeat)
worldbankdata[254:263, ] |>
  ggplot(aes(y = Year, x=Income)) + 
  geom_heat_tri(lower = Electricity,
           upper = Cooking)

10.8 geom_heat_circle

Package

ggDoubleHeat (Yu and Buskirk 2023)

Description

Visualize two quantitative variables of information inside a heatmap cell using triangles.

Understandable aesthetics

required aesthetics

x, y, outside, inside

Optional aesthetics

outside_colors, outside_name, inside_colors, inside_name

See also

geom_heat_grid, geom_heat_tri

Example

library(ggDoubleHeat)
worldbankdata[254:263, ] |>
  ggplot(aes(y = Year, x=Income)) + 
  geom_heat_circle(outside = Electricity,
           inside = Cooking)

10.9 geom_hline

Package

ggplot2 (Wickham 2016)

Description

Draw a horizontal line given intercept.

Understandable aesthetics

Unlike most other geoms, geom_hline does not depend on the x and y variables that we map for the main plot.

See also

geom_point, geom_vline, geom_abline

Example

a1 <- ggplot(worldbankdata, aes(y = Cooking, x=Electricity)) + 
  geom_hline(yintercept = 50) + 
  labs(title="a1: geom_abline only") +
  theme(aspect.ratio = 1)
a2 <- ggplot(worldbankdata, aes(y = Cooking, x=Electricity)) + 
  geom_hline(yintercept = 50) + 
  geom_point() + 
  labs(title = "a2: geom_hline \n and geom_point") +
  theme(aspect.ratio = 1)
a1 | a2