ggsurveillance (version 0.3.0)

scale_y_discrete_reverse: Reversed discrete scale for 'ggplot2'

Description

scale_y_discrete_reverse() and scale_x_discrete_reverse() are standard discrete 'ggplot2' scales with a reversed order of values. Since the ggplot2 coordinate system starts with 0 in the lower left corner, factors on the y-axis are sorted is descending order by default (i.e. alphabetically from Z to A). With this scale the the y-axis will start with the first factor level at the top or with alphabetically correctly ordered values

Usage

scale_y_discrete_reverse(
  name = waiver(),
  limits = NULL,
  ...,
  expand = waiver(),
  position = "left"
)
scale_x_discrete_reverse(
  name = waiver(),
  limits = NULL,
  ...,
  expand = waiver(),
  position = "bottom"
)

Value

A ggplot2 scale object that can be added to a plot.

Arguments

name

The name of the scale. Used as the axis or legend title. If waiver(), the default, the name of the scale is taken from the first mapping used for that aesthetic. If NULL, the legend title will be omitted.

limits

Can be either NULL which uses the default reversed scale values or a character vector which will be reversed.

...

Arguments passed on to ggplot2::discrete_scale()

expand

For position scales, a vector of range expansion constants used to add some padding around the data to ensure that they are placed some distance away from the axes. Use the convenience function expansion() to generate the values for the expand argument. The defaults are to expand the scale by 5% on each side for continuous variables, and by 0.6 units on each side for discrete variables.

position

For position scales, The position of the axis. left or right for y axes, top or bottom for x axes.

See Also

geom_epigantt(), ggplot2::scale_y_discrete()

Examples

library(ggplot2)

# Create sample data
df <- data.frame(
  category = factor(c("A", "B", "C", "D")),
  value = c(10, 5, 8, 3)
)

# Basic plot with reversed y-axis
ggplot(df, aes(x = value, y = category)) +
  geom_col() +
  scale_y_discrete_reverse()