plot.mcmcSTmodel {SpatioTemporal} | R Documentation |
mcmcSTmodel
objectplot
method for class mcmcSTmodel
.
## S3 method for class 'mcmcSTmodel' plot(x, y = "like", add = FALSE, main = NULL, ...)
x |
|
y |
Type of plot, options are |
add |
Add to existing plot using |
main |
Parameter passed as |
... |
Plots results from MCMC.STmodel
. Either parameter paths or the
log-likelihood for the mcmc simulations.
Nothing
Johan Lindstrom
Other mcmcSTmodel methods: MCMC.STmodel
,
density.mcmcSTmodel
,
plot.density.mcmcSTmodel
,
print.mcmcSTmodel
,
print.summary.mcmcSTmodel
,
summary.mcmcSTmodel
##load MCMC results instead data(MCMC.mesa.model) ##plot the log-likelihood plot(MCMC.mesa.model, ylab="", xlab="", type="l") ##and MCMC tracks for four of the parameters par(mfrow=c(4,1),mar=c(2,2,2.5,.5)) for(i in c(4,9,13,15)){ plot(MCMC.mesa.model, i, ylab="", xlab="", type="l") } ##or by name par(mfrow=c(1,1),mar=c(2,2,2.5,.5)) plot(MCMC.mesa.model, "nu.log.range.exp", ylab="", xlab="", type="l", main="all range estimates", ylim=c(-14,10)) ##all ranges in one plot plot(MCMC.mesa.model, "log.range.const.exp", add=TRUE, col=2) plot(MCMC.mesa.model, "log.range.V1.exp", add=TRUE, col=3) plot(MCMC.mesa.model, "log.range.V2.exp", add=TRUE, col=4)