hipPartition: Partition the population.
In spbal: Spatially Balanced Sampling Algorithms
hipPartition R Documentation
Partition the population.
Description
Partition the resource into boxes with the same nested structure as Halton boxes.
The spbal parameter iterations defines the number of boxes used in the HIP partition and
should be larger than the sample size but less than the population size.
Usage
hipPartition(pts, its)
Arguments
pts
The population of points.
its
The number of partitioning iterations.
Value
A list containing the following variables:
-
ptsIndex The population index.
-
HaltonIndex Updated Halton indices for all points in pts.
Author(s)
Phil Davies, Blair Robertson.
spbal documentation built on April 4, 2025, 2:05 a.m.
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| hipPartition | R Documentation |
Partition the population.
Description
Partition the resource into boxes with the same nested structure as Halton boxes. The spbal parameter iterations defines the number of boxes used in the HIP partition and should be larger than the sample size but less than the population size.
Usage
hipPartition(pts, its)
Arguments
pts |
The population of points. |
its |
The number of partitioning iterations. |
Value
A list containing the following variables:
-
ptsIndexThe population index. -
HaltonIndexUpdated Halton indices for all points in pts.
Author(s)
Phil Davies, Blair Robertson.
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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