On Thu, 17 Jun 2010, elaine kuo wrote:
This is Elaine.
I am try the R package spdep to calculate Moran I for each of the 7
generalized linear
models generated by 3 predictors respectively.
There is no accepted authority for any test for the residuals of a glm()
fit for spatial autocorrelation (a paper in Geographical Analysis is not
adequate authority - one in Biometrika or Statistics in Medicine might
be). Because a glm object is also an lm object, you may - at your own risk
- use lm.morantest() as if the fitted model was an lm object. Since it is
very hard to simulate correlated multivariate counts, we have no idea
whether this test behaves as it should.
Hope this helps,
Roger
The models were generated by bird richness and the habitual conditions,
based on a grid system with the number corresponding to the variables of the
models.
I read the pdf manual but still confounded which function should be used to
achieved the goal.
Thanks
[[alternative HTML version deleted]]
_______________________________________________
R-sig-Geo mailing list
R-sig-Geo@stat.math.ethz.ch
https://stat.ethz.ch/mailman/listinfo/r-sig-geo
--
Roger Bivand
Economic Geography Section, Department of Economics, Norwegian School of
Economics and Business Administration, Helleveien 30, N-5045 Bergen,
Norway. voice: +47 55 95 93 55; fax +47 55 95 95 43
e-mail: roger.biv...@nhh.no
_______________________________________________
R-sig-Geo mailing list
R-sig-Geo@stat.math.ethz.ch
https://stat.ethz.ch/mailman/listinfo/r-sig-geo
