kde2dVec: Vectorized Two-dimensional Kernel Density Estimation
In astrolabediagnostics/orloj: Utilities for the Astrolabe Diagnostics platform
Description
Usage
Arguments
Value
Description
A wrapper around kde2d that converts the density
estimation into a one-dimensional probability distribution.
Usage
1
Arguments
mtx
A numeric matrix which provides the data for the kernel density
estimation.
n
Number of grid points in each direction. Can be a scalar or a
length-2 integer vector.
lims
The limits of the rectangle covered by the grid as
c(xl, xu, yl, yu).
Value
A vector for the one-dimensional probability distribution.
astrolabediagnostics/orloj documentation built on May 20, 2021, 2:17 p.m.
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Description Usage Arguments Value
Description
A wrapper around kde2d that converts the density
estimation into a one-dimensional probability distribution.
Usage
1 |
Arguments
mtx |
A numeric matrix which provides the data for the kernel density estimation. |
n |
Number of grid points in each direction. Can be a scalar or a length-2 integer vector. |
lims |
The limits of the rectangle covered by the grid as c(xl, xu, yl, yu). |
Value
A vector for the one-dimensional probability distribution.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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