indictest: Significance-assessment of spatial early-warning signals

Description Usage Arguments Details Value References See Also

View source: R/indictest.R

Description

Assess the significance of spatial early-warning values

Usage

1
indictest(x, nperm = 999, ...)

Arguments

x

A spatial warning object such as one produced by the *_sews function family

nperm

The number of permutations to carry out to produce the null distribution

...

Additional arguments passed to methods

Details

The significance of many early-warning signals can be estimated by reshuffling the original matrix. Indicators are then recomputed on the shuffled matrices and the values obtained are used as a null distribution. P-values are obtained based on the rank of the observered value in the null distribution.

Value

An object of class *_sews_test depending on the input object (actually, a data.frame)

References

Kefi, S., Guttal, V., Brock, W.A., Carpenter, S.R., Ellison, A.M., Livina, V.N., et al. (2014). Early Warning Signals of Ecological Transitions: Methods for Spatial Patterns. PLoS ONE, 9, e92097

See Also

generic_sews, spectral_sews


spatialwarnings documentation built on June 18, 2018, 1:01 a.m.