Cartesian coordinates with x and y flippedSource:
This function is superseded because in many cases,
coord_flip() can easily
be replaced by swapping the x and y aesthetics, or optionally setting the
orientation argument in geom and stat layers.
coord_flip() is useful for geoms and statistics that do not support
orientation setting, and converting the display of y conditional on x,
to x conditional on y.
- xlim, ylim
Limits for the x and y axes.
TRUE, the default, adds a small expansion factor to the limits to ensure that data and axes don't overlap. If
FALSE, limits are taken exactly from the data or
Should drawing be clipped to the extent of the plot panel? A setting of
"on"(the default) means yes, and a setting of
"off"means no. In most cases, the default of
"on"should not be changed, as setting
clip = "off"can cause unexpected results. It allows drawing of data points anywhere on the plot, including in the plot margins. If limits are set via
ylimand some data points fall outside those limits, then those data points may show up in places such as the axes, the legend, the plot title, or the plot margins.
# The preferred method of creating horizontal instead of vertical boxplots ggplot(diamonds, aes(price, cut)) + geom_boxplot() # Using `coord_flip()` to make the same plot ggplot(diamonds, aes(cut, price)) + geom_boxplot() + coord_flip() # With swapped aesthetics, the y-scale controls the left axis ggplot(diamonds, aes(y = carat)) + geom_histogram() + scale_y_reverse() #> `stat_bin()` using `bins = 30`. Pick better value with `binwidth`. # In `coord_flip()`, the x-scale controls the left axis ggplot(diamonds, aes(carat)) + geom_histogram() + coord_flip() + scale_x_reverse() #> `stat_bin()` using `bins = 30`. Pick better value with `binwidth`. # In line and area plots, swapped aesthetics require an explicit orientation df <- data.frame(a = 1:5, b = (1:5) ^ 2) ggplot(df, aes(b, a)) + geom_area(orientation = "y") # The same plot with `coord_flip()` ggplot(df, aes(a, b)) + geom_area() + coord_flip()