hexbinplot | R Documentation |
Display of hexagonally binned data, as implemented in the
hexbin
packge, under the Trellis framework, with associated
utilities. hexbinplot
is the high level generic function, with
the "formula"
method doing the actual work.
prepanel.hexbinplot
and panel.hexbinplot
are associated
prepanel and panel functions. hexlegendGrob
produces a
suitable legend.
hexbinplot(x, data, ...)
## S3 method for class 'formula'
hexbinplot(x, data = NULL,
prepanel = prepanel.hexbinplot,
panel = panel.hexbinplot,
groups = NULL,
aspect = "xy",
trans = NULL,
inv = NULL,
colorkey = TRUE,
...,
maxcnt,
legend = NULL,
legend.width = TRUE,
subset)
prepanel.hexbinplot(x, y, type = character(0), ...)
panel.hexbinplot(x, y, ..., groups = NULL)
hexlegendGrob(legend = 1.2,
inner = legend / 5,
cex.labels = 1,
cex.title = 1.2,
style = "colorscale",
minarea = 0.05, maxarea = 0.8,
mincnt = 1, maxcnt,
trans = NULL, inv = NULL,
colorcut = seq(0, 1, length = 17),
density = NULL, border = NULL, pen = NULL,
colramp = function(n) { LinGray(n,beg = 90,end = 15) },
...,
vp = NULL,
draw = FALSE)
x |
For For the In |
y |
In |
data |
For the |
minarea , maxarea , mincnt , maxcnt , trans , inv , colorcut , density , border , pen , colramp , style |
see
|
prepanel , panel , aspect |
See
|
colorkey |
logical, whether a legend should be drawn. Currently a legend can be drawn only on the right. |
legend.width , legend |
width of the legend in inches when
|
inner |
Inner radius in inches of hexagons in the legend when
|
cex.labels , cex.title |
in the legend, multiplier for numeric labels and text annotation respectively |
type |
character vector controlling additional augmentation of
the display. A |
draw |
logical, whether to draw the legend grob. Useful when
|
vp |
grid viewport to draw the legend in |
... |
extra arguments, passed on as appropriate. Arguments to
|
groups |
in |
subset |
an expression that is evaluated in evaluated in
|
The panel function panel.hexbinplot
creates a hexbin object
from data supplied to it and plots it using
grid.hexagons
. To make panels
comparable, all panels have the same maxcnt
value, by default
the maximum count over all panels. This default value can be
calculated only if the aspect ratio is known, and so
aspect="fill"
is not allowed. The default choice of aspect
ratio is different from the choice in hexbin
(namely,
1
), which may sometimes give better results for multi-panel
displays. xbnds
and ybnds
can be numeric range vectors
as in hexbin
, but they can also be character strings specifying
whether all panels should have the same bins. If they are not, then
bins in different panels could be of different sizes, in which case
style="lattice"
and style="centroids"
should be
interpreted carefully.
The dimensions of the legend and the size of the hexagons therein are
given in absolute units (inches) by legend.width
and
inner
only when style
is "nested.lattice"
or
"nested.centroids"
. For other styles, the dimensions of the
legend are determined relative to the plot. Specifically, the height
of the legend is the same as the height of the plot (the panel and
strip regions combined), and the width is the minimum required to fit
the legend in the display. This is different in some ways from the
hexbin
implementation. In particular, the size of the hexagons
in the legend are completely unrelated to the sizes in the panels,
which is pretty much unavoidable because the sizes need not be the
same across panels if xbnds
or ybnds
is "data"
.
The size of the hexagons encode information when style
is
"lattice"
or "centroids"
, consequently a warning is
issued when a legend is drawn with wither of these styles.
hexbinplot
produces an object of class "trellis"
. The
update
method can be used to update components of the object and
the print
method (usually called by default) will plot it on an
appropriate plotting device. hexlegendGrob
produces a
"grob"
(grid object).
Deepayan Sarkar deepayan.sarkar@r-project.org
hexbin
, xyplot
mixdata <-
data.frame(x = c(rnorm(5000),rnorm(5000,4,1.5)),
y = c(rnorm(5000),rnorm(5000,2,3)),
a = gl(2, 5000))
hexbinplot(y ~ x, mixdata, aspect = 1,
trans = sqrt, inv = function(x) x^2)
hexbinplot(y ~ x | a, mixdata)
hexbinplot(y ~ x | a, mixdata, style = "lattice",
xbnds = "data", ybnds = "data")
hexbinplot(y ~ x | a, mixdata, style = "nested.centroids")
hexbinplot(y ~ x | a, mixdata, style = "nested.centroids",
border = FALSE, type = c("g", "smooth"))
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