moranI: Moran's I for temporal eigenfunctions

In gavinsimpson/temporalEF: Temporal Eigenfunctions

Description

Calculate Moran's I for tempoeral eigenfunctions and assess significant of Moran's I values via a parametric test that assumes asymptotic normality or a permutation test.

Usage

moranI(x, ...)

## S3 method for class 'ate'
moranI(x, permute = FALSE, alternative = c("two.sided",
  "greater", "less"), nperm = 999, ...)

Arguments

x	an R object of class "ate".
...	additional arguments passed to methods.
permute	logical; test I via a permutation test
alternative	character; the type of test to perform. The default is "two.sided", which allows for both positive and negative spatial correlation (values of I). If you anticipate only one of positive or negative spatial association then you can specify "greater" or "less", respectively, as the alternative hypothesis.
nperm	numeric; number of permutations to perform in permutation test if requested.

Value

Numeric vector of Moran's I statistics

Author(s)

Gavin L. Simpson

gavinsimpson/temporalEF documentation built on May 16, 2019, 10:11 p.m.