plot.segratioMCMC {polySegratioMM} | R Documentation |
Standard MCMC trace and density plots for specified mixure model parameters and posterior probability distributions for specified markers
plot.segratioMCMC(x, ..., row.index = c(1:10), var.index = c(1:6), marker.index = c(1:8))
x |
object of class segratioMCMC |
... |
extra options for printing |
row.index |
which rows to print (Default: first 10) |
var.index |
which mixture model variable to summarise (Default: all) |
marker.index |
which markers to summarise (Default: 1:8) |
None.
Peter Baker p.baker1@uq.edu.au
## simulate small autooctaploid data set a1 <- sim.autoMarkers(8,c(0.7,0.2,0.1),n.markers=100,n.individuals=50) ##print(a1) sr <- segregationRatios(a1$markers) x <- setModel(3,8) ## Not run: ## fit simple model in one hit and summarise x.run <- runSegratioMM(sr, x, burn.in=200, sample=500) plot(x.run$mcmc.mixture) ## End(Not run)