hopkins.pval: Calculate the p-value for Hopkins statistic

In kwstat/hopkins: Calculate Hopkins Statistic for Clustering

Calculate the p-value for Hopkins statistic

Description

Calculate the p-value for Hopkins statistic

Usage

hopkins.pval(x, n)

Arguments

x	Observed value of Hopkins statistic
n	Number of events/points sampled.

Details

Under null hypothesis of spatial randomness, Hopkins statistic has a Beta(m,m) distribution, where 'm' is the number of events/points sampled. This function calculates the p-value for the statistic.

Value

A p-value between 0 and 1.

Author(s)

Kevin Wright

References

Michael T. Gastner (2005). Spatial distributions: Density-equalizing map projections, facility location, and two-dimensional networks. Ph.D. dissertation, Univ. Michigan (Ann Arbor, 2005). http://hdl.handle.net/2027.42/125368

Examples

hopkins.pval(0.21, 10) # .00466205

kwstat/hopkins documentation built on July 19, 2024, 12:59 a.m.