fMultivar (version 2152.77)

BivariateBinning: Square and Hexagonal Data Binning

Description

A collection and description of functions which allow to create histograms due to sqaure and hexagonal binning. Bivariate Binning Functions: ll{ squareBinning does a square binning of data points, hexBinning does a hexagonal binning of data points}

Usage

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, ...)

Arguments

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

...

arguments to be passed.

Value

• 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.

Examples

## squareBinning -
   sB = squareBinning(x = rnorm(1000), y = rnorm(1000))
   plot(sB)
   
## hexBinning -
   hB = hexBinning(x = rnorm(1000), y = rnorm(1000))
   plot(hB)