stat_funxy {ggh4x} | R Documentation |
The function xy stat applies a function to the x- and y-coordinates of a
layers positions by group. The stat_centroid()
and
stat_midpoint()
functions are convenience wrappers for calculating
centroids and midpoints. stat_funxy()
by default leaves the data
as-is, but can be supplied functions and arguments.
stat_funxy( mapping = NULL, data = NULL, geom = "point", position = "identity", ..., funx = force, funy = force, argx = list(), argy = list(), crop_other = TRUE, show.legend = NA, inherit.aes = TRUE ) stat_centroid( ..., funx = mean, funy = mean, argx = list(na.rm = TRUE), argy = list(na.rm = TRUE) ) stat_midpoint(..., argx = list(na.rm = TRUE), argy = list(na.rm = TRUE))
mapping |
Set of aesthetic mappings created by |
data |
The data to be displayed in this layer. There are three options: If A A |
geom |
The geometric object to use to display the data, either as a
|
position |
Position adjustment, either as a string naming the adjustment
(e.g. |
... |
Other arguments passed on to |
funx, funy |
A |
argx, argy |
A named |
crop_other |
A |
show.legend |
logical. Should this layer be included in the legends?
|
inherit.aes |
If |
This statistic only makes a minimal attempt at ensuring that the results from calling both functions are of equal length. Results of length 1 are recycled to match the longest length result.
A StatFunxy
ggproto object, that can be added to a plot.
p <- ggplot(iris, aes(Sepal.Width, Sepal.Length, colour = Species)) # Labelling group midpoints p + geom_point() + stat_midpoint(aes(label = Species, group = Species), geom = "text", colour = "black") # Drawing segments to centroids p + geom_point() + stat_centroid(aes(xend = Sepal.Width, yend = Sepal.Length), geom = "segment", crop_other = FALSE) # Drawing intervals ggplot(iris, aes(Sepal.Width, Sepal.Length, colour = Species)) + geom_point() + stat_funxy(geom = "path", funx = median, funy = quantile, argy = list(probs = c(0.1, 0.9)))