hexbin | R Documentation |
Creates a "hexbin"
object. Basic components are a cell id and
a count of points falling in each occupied cell.
Basic methods are show()
, plot()
and summary()
, but also erode
.
hexbin(x, y, xbins = 30, shape = 1,
xbnds = range(x), ybnds = range(y),
xlab = NULL, ylab = NULL, IDs = FALSE)
x , y |
vectors giving the coordinates of the bivariate data
points to be binned. Alternatively a single plotting structure can
be specified: see |
xbins |
the number of bins partitioning the range of xbnds. |
shape |
the shape = yheight/xwidth of the plotting regions. |
xbnds , ybnds |
horizontal and vertical limits of the binning region in x or y units respectively; must be numeric vector of length 2. |
xlab , ylab |
optional character strings used as labels for
|
IDs |
logical indicating if the individual cell “IDs” should be returned, see also below. |
Returns counts for non-empty cells only. The plot shape must be maintained for hexagons to appear with equal sides. Some calculations are in single precision.
Note that when plotting a hexbin
object, the
grid package is used.
You must use its graphics (or those from package lattice if you
know how) to add to such plots.
an S4 object of class "hexbin"
.
It has the following slots:
cell |
vector of cell ids that can be mapped into the (x,y) bin centers in data units. |
count |
vector of counts in the cells. |
xcm |
The x center of mass (average of x values) for the cell. |
ycm |
The y center of mass (average of y values) for the cell. |
xbins |
number of hexagons across the x axis. hexagon inner diameter =diff(xbnds)/xbins in x units |
shape |
plot shape which is yheight(inches) / xwidth(inches) |
xbnds |
x coordinate bounds for binning and plotting |
ybnds |
y coordinate bounds for binning and plotting |
dimen |
The i and j limits of cnt treated as a matrix cnt[i,j] |
n |
number of (non NA) (x,y) points, i.e., |
ncells |
number of cells, i.e., |
call |
the function call. |
xlab , ylab |
character strings to be used as axis labels. |
cID |
of class, |
Carr, D. B. et al. (1987)
Scatterplot Matrix Techniques for Large N
.
JASA 83, 398, 424–436.
hcell2xy
gplot.hexbin
,
grid.hexagons
, grid.hexlegend
.
set.seed(101)
x <- rnorm(10000)
y <- rnorm(10000)
(bin <- hexbin(x, y))
## or
plot(hexbin(x, y + x*(x+1)/4),
main = "(X, X(X+1)/4 + Y) where X,Y ~ rnorm(10000)")
## Using plot method for hexbin objects:
plot(bin, style = "nested.lattice")
hbi <- hexbin(y ~ x, xbins = 80, IDs= TRUE)
str(hbi)
tI <- table(hbi@cID)
stopifnot(names(tI) == hbi@cell,
tI == hbi@count)
## NA's now work too:
x[runif(6, 0, length(x))] <- NA
y[runif(7, 0, length(y))] <- NA
hbN <- hexbin(x,y)
summary(hbN)
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