kde2d.weighted: based on...
In gsdensity: Density-Based Gene Set Specificity Evaluation
kde2d.weighted R Documentation
based on https://stat.ethz.ch/pipermail/r-help/2006-June/107405.html
this is called by compute.spatial.kld to calculate the kernel density estimation
in 2d space with each data point weighted.
Description
based on https://stat.ethz.ch/pipermail/r-help/2006-June/107405.html
this is called by compute.spatial.kld to calculate the kernel density estimation
in 2d space with each data point weighted.
Usage
kde2d.weighted(x, y, w, h, n, lims = c(range(x), range(y)))
Arguments
x
x
y
y
w
w
h
h
n
n
lims
lims
Value
weighted kde2d estimation
gsdensity documentation built on March 31, 2023, 8:32 p.m.
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| kde2d.weighted | R Documentation |
based on https://stat.ethz.ch/pipermail/r-help/2006-June/107405.html this is called by compute.spatial.kld to calculate the kernel density estimation in 2d space with each data point weighted.
Description
based on https://stat.ethz.ch/pipermail/r-help/2006-June/107405.html this is called by compute.spatial.kld to calculate the kernel density estimation in 2d space with each data point weighted.
Usage
kde2d.weighted(x, y, w, h, n, lims = c(range(x), range(y)))
Arguments
x |
x |
y |
y |
w |
w |
h |
h |
n |
n |
lims |
lims |
Value
weighted kde2d estimation
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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