Kfun: Ripley's K-function
In SGCS: Spatial Graph Based Clustering Summaries for Spatial Point Patterns
Description
Usage
Arguments
Details
Value
Description
See Kest for more rigorous implementation in 2D.
Usage
1
Arguments
x
Point pattern
r
Vector of distances to estimate the function
...
ignored.
Details
Border correction is translation correction.
Support in 3D therefore only for cuboidal windows.
Value
fv-object.
SGCS documentation built on May 1, 2019, 8:20 p.m.
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Description Usage Arguments Details Value
Description
See Kest for more rigorous implementation in 2D.
Usage
1 |
Arguments
x |
Point pattern |
r |
Vector of distances to estimate the function |
... |
ignored. |
Details
Border correction is translation correction. Support in 3D therefore only for cuboidal windows.
Value
fv-object.
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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