| utils-binning2 | R Documentation |
Two functions which allow to create histograms due to sqaure and hexagonal binning.
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 |
bins |
an integer specifying the number of bins. |
col |
color map like for the |
x, y |
[squareBinning][hexBinning] - |
... |
arguments to be passed. |
squareBinning does a square binning of data points, and
hexBinning does a hexagonal binning of data points.
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)
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