Plot hierarchical clustering tree.
1 2 | PlotHCTree(dataSet, analSet, imgName = "tree_", format = "png", dpi = 72,
width = NA, smplDist = "euclidean", clstDist = "ward.D")
|
dataSet |
List, data set object generated by |
analSet |
List, containing the results of statistical analysis (can be just an empty list). |
imgName |
Image file name prefix. |
format |
Image format, one of: "png", "tiff", "pdf", "ps", "svg" |
dpi |
Image resolution. |
width |
Image width. |
smplDist |
The distance measure. One of |
clstDist |
The agglomeration method to be used, one of "ward.D", "ward.D2", "single", "complete", "average".
For details: |
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