morancr.stat {smerc} | R Documentation |
morancr.stat
computes the constant-risk version of the Moran's I
statistic proposed by Walter (1992).
morancr.stat(cases, w, ex)
cases |
The number of cases observed in each region. |
w |
A binary spatial adjacency matrix for the regions. |
ex |
The expected number of cases for each region. |
Returns a numeric value.
Joshua French
Walter, S. D. (1992). The analysis of regional patterns in health data: I. Distributional considerations. American Journal of Epidemiology, 136(6), 730-741.
data(nydf)
data(nyw)
ex <- sum(nydf$cases) / sum(nydf$pop) * nydf$pop
morancr.stat(cases = nydf$cases, w = nyw, ex = ex)