spatclustkNN: Perform Cuzick-Edwards' kNN test
In mc30/disnap: Package to analyse DISease SNAPshot data
Description
Usage
Arguments
Author(s)
Description
Plots results of Cuzick-Edwards' kNN clustering test.
Usage
1
spatclustkNN(lst, nn = 20, nsim = 500, signifLevel = 0.05)
Arguments
lst
List of PPP objects.
nn
Number of nearest neighbours. Default is 20.
nsim
Number of simulations. Default is 500.
signifLevel
Significance level (p-value cut-off). Default is 0.05.
Author(s)
Mikhail Churakov
mc30/disnap documentation built on Jan. 18, 2020, 3:44 a.m.
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Description Usage Arguments Author(s)
Description
Plots results of Cuzick-Edwards' kNN clustering test.
Usage
1 | spatclustkNN(lst, nn = 20, nsim = 500, signifLevel = 0.05)
|
Arguments
lst |
List of PPP objects. |
nn |
Number of nearest neighbours. Default is 20. |
nsim |
Number of simulations. Default is 500. |
signifLevel |
Significance level (p-value cut-off). Default is 0.05. |
Author(s)
Mikhail Churakov
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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