print.dosagesMCMC {polySegratioMM} | R Documentation |
Prints objects of S3 class dosagesMCMC
or segratioMCMC
## S3 method for class 'dosagesMCMC': print(x, ..., index.sample = 20) ## S3 method for class 'segratioMCMC': print(x, ..., row.index = c(1:10), var.index = c(1:6), marker.index = c(1:8), chain = 1)
x |
object of class dosagesMCMC or segratioMCMC |
... |
extra options for printing |
index.sample |
which markers to print (Default: 20 markers at random) |
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) |
chain |
which chain to print (Default: 1) |
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$markers) x <- setModel(3,8) ## fit simple model in one hit ## Not run: x.run <- runSegratioMM(sr, x, burn.in=200, sample=500) print(x.run$doses) ## End(Not run)