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
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
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
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
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
A function used to create a guide or its name. See
For position scales, The position of the axis.