hexDensity {hexDensity} | R Documentation |
Kernel Density Estimation with Hexagonal grid.
Description
Kernel Density Estimation with Hexagonal grid.
Usage
hexDensity(
x,
y = NULL,
xbins = 128,
bandwidth = NULL,
edge = TRUE,
diggle = FALSE,
weight = NULL,
...
)
Arguments
x , y |
Coords of the points or a single plotting structure to be used in binning. See xy.coords. |
xbins |
Number of bins in a row. |
bandwidth |
Bandwidth for the smoothing kernel. Either a scalar, a vector of length 2, or a 2x2 variance-covariance matrix for the bandwidths in the x and y directions. |
edge |
Logical value for whether to apply edge correction. Default is TRUE. |
diggle |
Logical value for apply edge correction with the more accurate Jones-Diggle method (need 'edge' to be TRUE). |
weight |
numeric weight vector to be assigned to points. |
... |
arguments for hexbinFull |
Details
Default bandwidth is the normal scale bandwidth selector n^(-1/3)*var where n is sample size and var is the variance-covariance matrix.
Value
an S4 object of class hexbin.
References
Diggle, P. J. (2010) Nonparametric methods. Chapter 18, pp. 299–316 in A.E. Gelfand, P.J. Diggle, M. Fuentes and P. Guttorp (eds.) Handbook of Spatial Statistics, CRC Press, Boca Raton, FL.
Jones, M. C. (1993) Simple boundary corrections for kernel density estimation. Statistics and Computing 3, 135–146.
Examples
set.seed(133)
d = hexDensity(x=rnorm(200),y=rnorm(200))