Sarah,
. clust_tree=hclust(as.dist(x),method="complete")
. plot(clust_tree)
this produces a dendrogram, whereas
. clust_tree=hclust(as.dist(x),method="complete")
.cut = cutree(clust_tree,k=1:5)
.plot(cut)
produces a plot with 2 dots. The dissimilarity matrix x
Hi,
I am trying fit certain data into Beta distribution. I get the error saying
"Error in fitdist(discrete_random_variable_c, "beta", start = NULL, fix.arg
= NULL) : the function mle failed to estimate the parameters, with the
error code 100"
Below is the sorted data that I am trying to fit.
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