multicube {CUB} | R Documentation |
Joint plot of estimated CUBE models in the parameter space
Description
Return a plot of estimated CUBE models represented as points in the parameter space, where the overdispersion is labeled.
Usage
multicube(listord,mvett,csiplot=FALSE,paiplot=FALSE,...)
Arguments
listord |
A data matrix, data frame, or list of vectors of ordinal observations (for variables with different number of observations) |
mvett |
Vector of number of categories for ordinal variables in |
csiplot |
Logical: should |
paiplot |
Logical: should |
... |
Value
Fit a CUBE model to list elements, and then by default it returns a plot of the estimated
(1-\pi, 1-\xi)
as points in the parameter space, labeled with the estimated overdispersion.
Depending on csiplot
and paiplot
and on desired output, x
and y
coordinates may be set to \pi
and \xi
, respectively.
Examples
m1<-5; m2<-7; m3<-9
pai<-0.7;csi<-0.6;phi=0.1
n1<-1000; n2<-500; n3<-1500
ord1<-simcube(n1,m1,pai,csi,phi)
ord2<-simcube(n2,m2,pai,csi,phi)
ord3<-simcube(n3,m3,pai,csi,phi)
listord<-list(ord1,ord2,ord3)
multicube(listord,labels=c("m=5","m=7","m=9"),pos=c(3,1,4),expinform=TRUE)