Cartesian coordinates.

Usage

coord_cartesian(xlim = NULL, ylim = NULL, wise = NULL)

Arguments

xlim

limits for the x axis

ylim

limits for the y axis

wise

deprecated in 0.9.1

Examples

# There are two ways of zooming the plot display: with scales or
# with coordinate systems.  They work in two rather different ways.

(p <- qplot(disp, wt, data=mtcars) + geom_smooth())

geom_smooth: method="auto" and size of largest group is <1000, so using loess. Use 'method = x' to change the smoothing method.


# Setting the limits on a scale will throw away all data that's not
# inside these limits.  This is equivalent to plotting a subset of
# the original data
p + scale_x_continuous(limits = c(325, 500))

geom_smooth: method="auto" and size of largest group is <1000, so using loess. Use 'method = x' to change the smoothing method.
Warning message:
Removed 24 rows containing missing values (stat_smooth).
Warning message:
Removed 24 rows containing missing values (geom_point).


# Setting the limits on the coordinate system performs a visual zoom
# the data is unchanged, and we just view a small portion of the original
# plot.  See how the axis labels are the same as the original data, and
# the smooth continue past the points visible on this plot.
p + coord_cartesian(xlim = c(325, 500))

geom_smooth: method="auto" and size of largest group is <1000, so using loess. Use 'method = x' to change the smoothing method.


# You can see the same thing with this 2d histogram
(d <- ggplot(diamonds, aes(carat, price)) +
  stat_bin2d(bins = 25, colour="grey50"))



# When zooming the scale, the we get 25 new bins that are the same
# size on the plot, but represent smaller regions of the data space
d + scale_x_continuous(limits = c(0, 2))



# When zooming the coordinate system, we see a subset of original 50 bins,
# displayed bigger
d + coord_cartesian(xlim = c(0, 2))