| BivariateBinning {fCopulae} | R Documentation |
A collection and description of functions which
allow to create histograms due to sqaure and
hexagonal binning.
Bivariate Binning Functions:
squareBinning | does a square binning of data points, |
hexBinning | does a hexagonal binning of data points |
squareBinning(x, y = NULL, bins = 30)
hexBinning(x, y = NULL, bins = 30)
## S3 method for class 'squareBinning':
plot(x, col = heat.colors(12), addPoints = TRUE,
addRug = TRUE, ...)
## S3 method for class 'hexBinning':
plot(x, col = heat.colors(12), addPoints = TRUE,
addRug = TRUE, ...)
addPoints |
a logical flag, should the center of mass points added to the plot? |
addRug |
a logical flag, should a rug representation be added to the
plot, for details see the function rug.
|
bins |
an integer specifying the number of bins. |
col |
color map like for the image function.
|
x, y |
[squareBinning][hexBinning] - either two numeric vectors of equal length or if y
is NULL, a list with entries x, y,
or named data frame with x in the first and
y in the second column.
Note, timeSeries objects are also allowed as input.[plot] - an object of class squareBinning or hexBinning.
|
... |
arguments to be passed. |
A list with three entries, x, y and z,
specified by an oject of class squareBinning or
hexBinning.
Note, the returned value, can be directly used by the persp()
and contour 3D plotting functions.
Diethelm Wuertz for the Rmetrics R-port.
## squareBinning - sB = squareBinning(x = rnorm(1000), y = rnorm(1000)) plot(sB) ## hexBinning - hB = hexBinning(x = rnorm(1000), y = rnorm(1000)) plot(hB)