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Plot a disclapmixfit object.
disclapmixfit
# S3 method for disclapmixfit plot(x, which = 1L, clusdist = clusterdist(x), ...)
a disclapmixfit object, usually from a result of a call to disclapmix.
disclapmix
What plot to make. 1L = clusters and their distances.
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
predict.disclapmixfit
print.disclapmixfit
simulate.disclapmixfit
summary.disclapmixfit
# NOT RUN { data(danes) db <- as.matrix(danes[rep(1:nrow(danes), danes$n), 1:(ncol(danes)-1)]) fit <- disclapmix(db, clusters = 4L) plot(fit) # }
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