align {ggdist} | R Documentation |
Break (bin) alignment methods
Description
Methods for aligning breaks (bins) in histograms, as used in the align
argument to density_histogram()
.
Supports automatic partial function application.
Usage
align_none(breaks)
align_boundary(breaks, at = 0)
align_center(breaks, at = 0)
Arguments
breaks |
A sorted vector of breaks (bin edges). |
at |
A scalar numeric giving an alignment point.
|
Details
These functions take a sorted vector of equally-spaced breaks
giving
bin edges and return a numeric offset which, if subtracted from breaks
,
will align them as desired:
-
align_none()
performs no alignment (it always returns0
). -
align_boundary()
ensures that a bin edge lines up withat
. -
align_center()
ensures that a bin center lines up withat.
For align_boundary()
(respectively align_center()
), if no bin edge (or center) in the
range of breaks
would line up with at
, it ensures that at
is an integer
multiple of the bin width away from a bin edge (or center).
Value
A scalar numeric returning an offset to be subtracted from breaks
.
See Also
Examples
library(ggplot2)
set.seed(1234)
x = rnorm(200, 1, 2)
# If we manually specify a bin width using breaks_fixed(), the default
# alignment (align_none()) will not align bin edges to any "pretty" numbers.
# Here is a comparison of the three alignment methods on such a histogram:
ggplot(data.frame(x), aes(x)) +
stat_slab(
aes(y = "align_none()\nor 'none'"),
density = "histogram",
breaks = breaks_fixed(width = 1),
outline_bars = TRUE,
# no need to specify align; align_none() is the default
color = "black",
) +
stat_slab(
aes(y = "align_center(at = 0)\nor 'center'"),
density = "histogram",
breaks = breaks_fixed(width = 1),
align = align_center(at = 0), # or align = "center"
outline_bars = TRUE,
color = "black",
) +
stat_slab(
aes(y = "align_boundary(at = 0)\nor 'boundary'"),
density = "histogram",
breaks = breaks_fixed(width = 1),
align = align_boundary(at = 0), # or align = "boundary"
outline_bars = TRUE,
color = "black",
) +
geom_point(aes(y = 0.7), alpha = 0.5) +
labs(
subtitle = "ggdist::stat_slab(density = 'histogram', ...)",
y = "align =",
x = NULL
) +
geom_vline(xintercept = 0, linetype = "22", color = "red")