bin.den: Linear binning for density estimation

In rubenfcasal/npsp: Nonparametric Spatial Statistics

Linear binning for density estimation

Description

Creates a bin.den-class (gridded binned density) object with linear binning counts.

Usage

bin.den(x, nbin = NULL)

as.bin.den(object, ...)

## S3 method for class 'data.grid'
as.bin.den(object, weights.ind = 1, ...)

## S3 method for class 'bin.den'
as.bin.den(object, ...)

Arguments

x	vector or matrix of covariates (e.g. spatial coordinates). Columns correspond with dimensions and rows with observations.
nbin	vector with the number of bins on each dimension.
object	(gridded data) used to select a method.
...	further arguments passed to or from other methods.
weights.ind	integer or character with the index or name of the component containing the bin counts/weights.

Details

If parameter nbin is not specified is set to pmax(25, rule.binning(x)).

Value

Returns an S3 object of class bin.den (extends data.grid). A list with the following 3 components:

binw	vector or array (dimension nbin) with the bin counts (weights).
grid	a grid.par-class object with the grid parameters.
data	a list with a component $x with argument x.

See Also

np.den, h.cv, bin.data, locpol, rule.binning.

Examples

binden <- bin.den(earthquakes[, c("lon", "lat")], nbin = c(30,30))
bindat <- binning(earthquakes[, c("lon", "lat")], earthquakes$mag, nbin = c(30,30))
all.equal(binden, as.bin.den(bindat))

rubenfcasal/npsp documentation built on April 23, 2023, 8:40 a.m.