This is one of a few functions created by Joe Cauteruccio, Jessie Li, Andrew West of Yale University that are used together to create the hclust_eval() function.
1 2  | hclus_eval(data_m, dist_m = "euclidean", clus_m = "ward",
  plot_op = T, dist_cust = NA)
 | 
data_m | 
 Data as a matrix.  | 
dist_m | 
 Distance metric of choice; defaults to euclidean.  | 
clus_m | 
 Agglomeration method of choice; defaults to Ward's method.  | 
plot_op | 
 Indicates whether to plot RSQ, RMSSTD, SPRSQ, and CD against each other. Defaults to "T" (true).  | 
dist_cust | 
 A custom distance metric; defaults to NA.  | 
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