Plotting a Cluster Tree
Generates a tree plot based on a herachical clustering of the complete distance matrix.
plotClusterTree( BC_dat, tree_est = "NJ", type = "unrooted", tipLabel = FALSE, m = "hamming" )
BC_dat |
a BCdat object. |
tree_est |
a character string, indicating the particular cluster algorithm, possible algorithms are "Neighbor-Joining" ("NJ") and "Unweighted Pair Group Method" ("UPGMA"). |
type |
a character string, the graph layout style ("unrooted", "phylogram", "cladogram", "fan", "radial"). |
tipLabel |
a logical value, indicating the use of labeled tree leaves. |
m |
a character string, Method for distance calculation, default value is Hamming distance. Possible values are "osa", "lv", "dl", "hamming", "lcs", "qgram", "cosine", "jaccard", "jw", "soundex" (see stringdist function of the stringdist-package for more information). |
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