local.den.engine: Find the local intensity density estimate based on nearest...
In aproudian2/rapt: Atom Probe Tomography Analysis
local.den.engine R Documentation
Find the local intensity density estimate based on nearest neighbors.
Description
Helper for nndensity.pp3.
Usage
local.den.engine(bdist, nnk, k, dz, par = TRUE, cores = 7)
Arguments
bdist
Result from bdist.points3.multi giving shortest
distance to boundary in the x, y, and z directions.
nnk
Result from nndist or
nncross containing nearest neighbor distances.
k
Vector of nn#s to calculate estimate for.
dz
The spacing for numeric integration over the z direction to
determine edge corrections.
par
TRUE or FALSE: whether or not to calculate in
parallel
cores
If par = TRUE, this is the number of cores to use for the
parallel calculation.
Value
A data.frame with intensity estimates for each value of k (# of
nearest neighbors).
See Also
nndensity.pp3
aproudian2/rapt documentation built on Dec. 15, 2022, 4:24 a.m.
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| local.den.engine | R Documentation |
Find the local intensity density estimate based on nearest neighbors.
Description
Helper for nndensity.pp3.
Usage
local.den.engine(bdist, nnk, k, dz, par = TRUE, cores = 7)
Arguments
bdist |
Result from |
nnk |
Result from |
k |
Vector of nn#s to calculate estimate for. |
dz |
The spacing for numeric integration over the z direction to determine edge corrections. |
par |
|
cores |
If |
Value
A data.frame with intensity estimates for each value of k (# of nearest neighbors).
See Also
nndensity.pp3
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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