mvlinbin: Multivariate Linear Binning

Description Usage Arguments Value Author(s) References

View source: R/mvlinbin.q

Description

Compute a binned approximation of the data on a regularly spaced grid using the multivariate linear binning rule described in Wand (1994).

Usage

1
mvlinbin(X, r = 7, padding)

Arguments

X

a numeric matrix.

r

a positive integer value. The number of grid points M in each dimension is given by M = 2^r.

padding

a numeric vector of positive values with length equal to the number of columns of X specifying the amount of zero-padding added to each coordinate direction. No padding is added when this argument is missing.

Value

a list with class mvlinbin containing the following elements.

axes

a numeric matrix whose columns contain the grid points used along each axis to bin the data.

xi

a numeric array containing the binned approximation of the data.

X

a numeric matrix containing the input data.

deltas

a numeric vector containing the grid spacing.

M

an integer value giving the number of grid points used in each coordinate direction.

n

an integer value containing the number of data points binned.

d

an integer value giving the dimensionality of the data.

Author(s)

Kjell Konis [email protected]

References

Wand, M. P. (1994). Fast Computation of Multivariate Kernel Estimators. Journal of Computational and Graphical Statistics, 3, 433-445.


bpkde documentation built on May 30, 2017, 1:52 a.m.

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