q_scaling: Quantile scaling.

In myllym/spptest: Spatial point process testing

Description

Quantile scaling.

Usage

q_scaling(curve_set, probs = c(0.025, 0.975), ...)

Arguments

curve_set	A curve_set or an envelope object. If an envelope object is given, it must contain the summary functions from the simulated patterns which can be achieved by setting savefuns = TRUE when calling envelope().
probs	A two-element vector containing the lower and upper quantiles for the envelope, in that order and on the interval [0, 1]. The default values are 0.025 and 0.975 as in the article by Møller and Berthelsen (2012).
...	Further arguments passed to quantile.

Value

A scaled curve_set.

References

J. Møller and K. K. Berthelsen, “Transforming spatial point processes into Poisson processes using random superposition,” Advances in Applied Probability, vol. 44, no. 1, pp. 42–62, 2012.

myllym/spptest documentation built on May 23, 2019, noon