plot.disclapmixfit.Rd
Plot a disclapmixfit
object.
# S3 method for disclapmixfit plot(x, which = 1L, clusdist = clusterdist(x), ...)
x | a |
---|---|
which | What plot to make. 1L = clusters and their distances. |
clusdist | To use previously computed cluster distances to avoid doing the same computations twice. |
... | not used |
A data frame with discrete Laplace distributions for each cluster and locus. Side effect: A plot.
disclapmix
disclapmixfit
predict.disclapmixfit
print.disclapmixfit
simulate.disclapmixfit
summary.disclapmixfit
data(danes) db <- as.matrix(danes[rep(1:nrow(danes), danes$n), 1:(ncol(danes)-1)]) fit <- disclapmix(db, clusters = 4L) plot(fit)