| facet_zoom {ggforce} | R Documentation |
This facetting provides the means to zoom in on a subset of the data, while keeping the view of the full dataset as a separate panel. The zoomed-in area will be indicated on the full dataset panel for reference. It is possible to zoom in on both the x and y axis at the same time. If this is done it is possible to both get each zoom separately and combined or just combined.
facet_zoom(x, y, xy, split = FALSE, horizontal = TRUE, zoom.size = 2, show.area = TRUE, shrink = TRUE)
x, y, xy |
An expression evaluating to a logical vector that determines the subset of data to zoom in on |
split |
If both |
horizontal |
If both |
zoom.size |
Sets the relative size of the zoom panel to the full data
panel. The default ( |
show.area |
Should the zoom area be drawn below the data points on the
full data panel? Defaults to |
shrink |
If |
Other ggforce.facets: facet_grid_paginate,
facet_wrap_paginate
# Zoom in on the versicolor species on the x-axis
ggplot(iris, aes(Petal.Length, Petal.Width, colour = Species)) +
geom_point() +
facet_zoom(x = Species == "versicolor")
# Zoom in on versicolor on both axes
ggplot(iris, aes(Petal.Length, Petal.Width, colour = Species)) +
geom_point() +
facet_zoom(xy = Species == "versicolor")
# Use different zoom criteria on each axis
ggplot(iris, aes(Petal.Length, Petal.Width, colour = Species)) +
geom_point() +
facet_zoom(x = Species != 'setosa', y = Species == 'versicolor')
# Get each axis zoom separately as well
ggplot(iris, aes(Petal.Length, Petal.Width, colour = Species)) +
geom_point() +
facet_zoom(xy = Species == "versicolor", split = TRUE)