
686 Spatial Point Patterns: Methodology and Applications with R
> patterns <- list(Poisson = sample1, MaternII = sample2)
> studpermu.test(patterns, summaryfunction = pcf, nperm=199,
interval=c(0,0.15))
Studentized permutation test for grouped point patterns
2 groups: MaternII, Poisson
summary function: pcf, evaluated on r in [0, 0.25]
test statistic: T, 199 random permutations
data: patterns
T = 1, p-value = 0.005
alternative hypothesis: not the same pair correlation function
If a variance- stabilized summary func tion is used, like the L-function, the variance estimate in the
denominator can be impr oved by pooling over all r-values. This suggests an ...