scale_x_binned()
and scale_y_binned()
are scales that discretize
continuous position data. You can use these scales to transform continuous
inputs before using it with a geom that requires discrete positions. An
example is using scale_x_binned()
with geom_bar()
to create a histogram.
scale_x_binned(
name = waiver(),
n.breaks = 10,
nice.breaks = TRUE,
breaks = waiver(),
labels = waiver(),
limits = NULL,
expand = waiver(),
oob = squish,
na.value = NA_real_,
right = TRUE,
show.limits = FALSE,
trans = "identity",
guide = waiver(),
position = "bottom"
)scale_y_binned(
name = waiver(),
n.breaks = 10,
nice.breaks = TRUE,
breaks = waiver(),
labels = waiver(),
limits = NULL,
expand = waiver(),
oob = squish,
na.value = NA_real_,
right = TRUE,
show.limits = FALSE,
trans = "identity",
guide = waiver(),
position = "left"
)
The name of the scale. Used as the axis or legend title. If
waiver()
, the default, the name of the scale is taken from the first
mapping used for that aesthetic. If NULL
, the legend title will be
omitted.
The number of break points to create if breaks are not given directly.
Logical. Should breaks be attempted placed at nice values
instead of exactly evenly spaced between the limits. If TRUE
(default)
the scale will ask the transformation object to create breaks, and this
may result in a different number of breaks than requested. Ignored if
breaks are given explicetly.
One of:
NULL
for no breaks
waiver()
for the default breaks computed by the
transformation object
A numeric vector of positions
A function that takes the limits as input and returns breaks
as output (e.g., a function returned by scales::extended_breaks()
)
One of:
NULL
for no labels
waiver()
for the default labels computed by the
transformation object
A character vector giving labels (must be same length as breaks
)
A function that takes the breaks as input and returns labels as output
One of:
NULL
to use the default scale range
A numeric vector of length two providing limits of the scale.
Use NA
to refer to the existing minimum or maximum
A function that accepts the existing (automatic) limits and returns
new limits
Note that setting limits on positional scales will remove data outside of the limits.
If the purpose is to zoom, use the limit argument in the coordinate system
(see coord_cartesian()
).
For position scales, a vector of range expansion constants used to add some
padding around the data to ensure that they are placed some distance
away from the axes. Use the convenience function expansion()
to generate the values for the expand
argument. The defaults are to
expand the scale by 5% on each side for continuous variables, and by
0.6 units on each side for discrete variables.
One of:
Function that handles limits outside of the scale limits (out of bounds).
The default (scales::censor()
) replaces out of
bounds values with NA
.
scales::squish()
for squishing out of bounds values into range.
scales::squish_infinite()
for squishing infitite values into range.
Missing values will be replaced with this value.
Should values on the border between bins be part of the right (upper) bin?
should the limits of the scale appear as ticks
For continuous scales, the name of a transformation object or the object itself. Built-in transformations include "asn", "atanh", "boxcox", "date", "exp", "hms", "identity", "log", "log10", "log1p", "log2", "logit", "modulus", "probability", "probit", "pseudo_log", "reciprocal", "reverse", "sqrt" and "time".
A transformation object bundles together a transform, its inverse,
and methods for generating breaks and labels. Transformation objects
are defined in the scales package, and are called <name>_trans
(e.g.,
scales::boxcox_trans()
). You can create your own
transformation with scales::trans_new()
.
A function used to create a guide or its name. See
guides()
for more information.
For position scales, The position of the axis.
left
or right
for y axes, top
or bottom
for x axes.
Other position scales:
scale_x_continuous()
,
scale_x_date()
,
scale_x_discrete()
# NOT RUN {
# Create a histogram by binning the x-axis
ggplot(mtcars) +
geom_bar(aes(mpg)) +
scale_x_binned()
# }
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