logrr.test: Global test of clustering using log ratio of spatial...

Description Usage Arguments Value Author(s) References Examples

View source: R/logrr.test.R

Description

logrr.test performs a global test of clustering for comparing cases and controls using the log ratio of spatial densities based on the method of Kelsall and Diggle (1995).

Usage

1

Arguments

x

An logrrenv object from the logrr function.

Value

A list providing the observed test statistic (islogrr) and the estimated p-value (pvalue).

Author(s)

Joshua French

References

Waller, L.A. and Gotway, C.A. (2005). Applied Spatial Statistics for Public Health Data. Hoboken, NJ: Wiley.

Kelsall, Julia E., and Peter J. Diggle. "Non-parametric estimation of spatial variation in relative risk." Statistics in Medicine 14.21-22 (1995): 2335-2342.

Examples

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data(grave)
logrrenv = logrr(grave, nsim = 9)
logrr.test(logrrenv)

Example output

[1] "The p-value for the global test is 0.2"

smacpod documentation built on May 14, 2018, 5:07 p.m.

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