Function to plot 2dimensional data modeled using a single structure matrix.
1 2 3 4 
objname 
name of output object produced by 
numcols 
number of shades from the color palette to be used 
col 
color palette to be used in plotting; the default plots high values in green and low values in pink. 
cardims 
Twovector specifying the number of rows and columns in the
CAR1 structure matrix; same as dimension of CAR1 Q matrix provided to

rev.inds 
Should the plotting indices on each twodimensional plot
be reversed? Setting 
title 
Vector of character values; the titles of the two plots. 
sub 
subtitle for plots; vector of length equal to the number of pages of plots to be displayed 
This function plots two twodimensional plots sidebyside. The left plot is of the raw data input into the CARrampsOcl.fit function, and the right plot is of the estimated means of the of the posterior distributions of the corresponding random effects.
This function plots two twodimensional plots sidebyside. The left plot is of the raw data input into the CARrampsOcl.fit function, and the right plot is of the estimated means of the of the posterior distributions of the corresponding random effects.
Kate Cowles
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31  # load data
## Not run:
data(iowaSW06)
Q < list( list(type="CAR1",content=c(33,24)) )
# construct the design matrix with with as many columns as there are
# in null space of kronecker prod of Q's
X < matrix( rep(1,33*24), ncol=1)
# parameters of gamma prior densities on tausqy, tausqphi[1], tausqphi[2]
alpha2 = beta2 < c(.1, .1)
# number of samples
nsamp = 100
#random seed
myseed = 314
output < CARrampsOcl.fit(alpha=alpha2,
beta=beta2, Q=Q, y=iowaSW06, nsamp=nsamp,
seed=myseed,
fixed = FALSE, randeffs=TRUE, coefs=TRUE,designMat=X,
mult= 50)
# plot the raw data and the posterior means of the sitespecific random effects
plotCAR1( output, numcols=32, col = rev(terrain.colors(32)),
cardims = c(33 ,24 ), rev.inds = c(FALSE, TRUE))
## End(Not run)

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