of neighbors vectors WinBUGS
needs
# for a CAR spatial random effect
my.adj <- listw2WB(clusters.idw)$adj
my.weights <- listw2WB(clusters.idw)$weights
my.num <- listw2WB(clusters.idw)$num
Any help in getting this CAR structure properly specified in the WinBUGS
model would
tasets, but I'm not familiar with them and what they can do in terms of
estimating formal statistical models.
Steven J. Pierce, M.S., Ph.D. Candidate
Associate Director
Center for Statistical Training & Consulting (CSTAT)
Michigan State University
178 Giltner Hall
East Lansing, MI 48824
Roger,
That worked. I successfully read in the file and plotted the resulting
parcels object. Onward with my dissertation work! Thanks for responding so
rapidly and for generously sharing your time and expertise.
Steven J. Pierce
Center for Statistical Training & Consulting (CSTAT)
Mich
nk you for your assistance.
Steven J. Pierce
Center for Statistical Training & Consulting (CSTAT)
Michigan State University
Web: http://www.cstat.msu.edu
-Original Message-
From: Roger Bivand [mailto:roger.biv...@nhh.no]
Sent: Monday, June 22, 2009 2:59 AM
To: Steven J. P
v_1.5-5
[5] rgdal_0.6-8 maptools_0.7-23 sp_0.9-37 foreign_0.8-36
loaded via a namespace (and not attached):
[1] grid_2.9.0 lattice_0.17-25 nlme_3.1-92
Steven J. Pierce
Center for Statistical Training & Consulting (CSTAT)
Michigan State University
Web: http://www.cstat.msu.e
_bbs_sr_1/103-4142948-9887845?ie=UTF8&s=books&qid=1178315019&sr=8-1
Steven J. Pierce, M.S.
Doctoral Student in Ecological/Community Psychology
Department of Psychology
Michigan State University
240B Psychology Building
East Lansing, MI 48824-1116
E-mail: [EMAIL PROTECTED]
Web: http://w
generally used example datasets where coordinate systems were already
set up and never discussed that explicitly, so I'm trying to learn some of
this stuff on my own.
Is there a better way to set up the coordinate system for this sort of
analysis?
Steven J. Pierce
E-mail: [EMAIL PROTEC
")
# Read in the shapefile.
ESCA.boundaries <- readShapePoly("schoolbnd_new1.shp",
proj4string = CRS(projection.details),
verbose=TRUE)
# Collect the coordinates for the new origin at the lower left corner of the
# study region and store
anyone else
wants to do this sort of data manipulation.
Steven J. Pierce
E-mail: [EMAIL PROTECTED]
-Original Message-
From: Roger Bivand [mailto:[EMAIL PROTECTED]
Sent: Saturday, June 03, 2006 7:11 AM
To: Steven J. Pierce
Cc: r-sig-geo@stat.math.ethz.ch
Subject: Re: [R-sig-Geo] adding links
t;grey", border="black", axes=FALSE, asp=1,
yaxs="i")
> title(main="Neighbor List Links", adj= 0, cex.sub=.75)
> plot(CITY.nb, coords.mat, add=TRUE, col="black", lwd=2)
Steven J. Pierce
E-mail: [EMAIL PROTECTED]
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y &
Gatrell 1995, pg 304)
CITY.ZCTA.data$bayes.risky9 <-
CITY.ZCTA.data$w.hat.risky9*CITY.ZCTA.data$obs.rate.risky9 +
((1 -
CITY.ZCTA.data$w.hat.risky9)*gamma.hat.risky9)
All feedback and suggestions are welcome.
Steven J. Pierce,
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