iPVs | R Documentation |
A super function that runs through all of the necessary staeps for you to identify Independent Principal Variables
iPVs(
variabledata,
cor_method = "spearman",
dist_method = "R",
hclust_meth = "complete",
cutheight = 0.5,
cmat = NULL
)
variabledata |
a data.frame of the variable data used to build your cormat and hclust tree |
cor_method |
the correlation method used to construct the correlation matrix |
dist_method |
the distance method to generate the distance matrix |
hclust_meth |
the clustering method used by hclust |
cutheight |
tree cut height. Value is equal to a dissimilarity of 1 - Spearman's rho. |
cmat |
a correlation matrix you can pass to the function, which will skip the generation of a new matrix. |
iPVs()
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