View source: R/coord_trans_xy.R
coord_trans_xy | R Documentation |
coord_trans_xy
behaves similarly to ggplot2::coord_trans()
in that it
occurs after statistical transformation and will affect the visual appearance
of geoms. The main difference is that it takes a single transformer that is
applied to the x and y axes simultaneously. Any transformers produced by
ggforce::linear_trans()
that have x and y arguments should work,
but any other transformers produced using scales::trans_new()
that take x
and y arguments should also work. Axis limits will be adjusted to account for
transformation unless limits are specified with xlim
or ylim
. This only
works with geoms where all points are defined with x and y
coordinates (e.g., ggplot2::geom_point()
, ggplot2::geom_polygon()
). This
does not currently work with geoms where point coordinates are extrapolated
(e.g., ggplot2::geom_rect()
).
coord_trans_xy( trans = NULL, xlim = NULL, ylim = NULL, expand = FALSE, default = FALSE, clip = "on" )
trans |
Transformer for x and y axes. |
xlim, ylim |
Limits for the x and y axes. |
expand |
If |
default |
Is this the default coordinate system? If |
clip |
Should drawing be clipped to the extent of the plot panel? A
setting of |
# make transformer library(ggforce) trans <- linear_trans(shear(2, 0), rotate(-pi / 3)) # set up data to be plotted square <- data.frame(x = c(0, 0, 4, 4), y = c(0, 1, 1, 0)) points <- data.frame(x = runif(100, 0, 4), y = runif(100, 0, 1)) # plot data normally library(ggplot2) ggplot(data = points, aes(x = x, y = y)) + geom_polygon(data = square, fill = NA, color = "black") + geom_point(color = "black") + coord_cartesian(expand = FALSE) + theme_classic() # plot data with transformation ggplot(data = points, aes(x = x, y = y)) + geom_polygon(data = square, fill = NA, color = "black") + geom_point(color = "black") + coord_trans_xy(trans = trans, expand = FALSE) + theme_classic()
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