print.simAutoMarkers {polySegratio} | R Documentation |
Prints an object of S3 class simAutoMarkers
## S3 method for class 'simAutoMarkers': print(x, ..., row.index = c(1:min(10, nrow(x$markers))), col.index = c(1:min(10, ncol(x$markers))) ) ## S3 method for class 'simAutoCross': print(x, ..., row.index = c(1:min(10, nrow(x$markers))), col.index = c(1:min(10, ncol(x$markers)))) ## S3 method for class 'divideAutoMarkers': print(x, ..., row.index = c(1:10), col.index = c(1:10), tabulate.extras = FALSE )
x |
object of class simAutoMarkers |
row.index |
which rows to print (Default: first 10) |
col.index |
which columns to print (Default: first 10) |
tabulate.extras |
If TRUE then cross–tabulate any axtra columns (Default: FALSE) |
... |
extra options for printing |
None.
Objects of class simAutoMarkers
may be produced from
by employing the function sim.autoMarkers
and the same
for sim.autoCross
and divide.autoMarkers
Peter Baker p.baker1@uq.edu.au
segRatio
, segregationRatios
,
sim.autoCross
, sim.autoMarkers
,
divide.autoMarkers
, print
## generate data sets a1 <- sim.autoMarkers(4,c(0.8,0.2)) a2 <- sim.autoMarkers(8,c(0.7,0.2,0.09,0.01),type="homo",n.markers=20,n.individuals=10) print(a1) print(a2) ## datasets from crosses p1 <- sim.autoCross(4, dose.proportion=c(0.7,0.3), n.markers=20, n.indiv=10) print(p1) p2 <- sim.autoCross(4, dose.proportion=list(p01=c(0.7,0.3),p10=c(0.7,0.3),p11=c(0.6,0.2,0.2))) print(p2) ## divide up data from crosses ss <- divide.autoMarkers(p2$markers) print(ss)