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Returns a reordering of the columns of x to visualize highly correlated variable pairs based on a cluster analysis of the correlation matrix. If no colum names are given then V1, V2, ... will be used.
x
V1
V2
order_parcoord(x, method = "spearman", ...)
data matrix
numeric: order method (default: "spearman")
"spearman"
further parameters given to stats::cor()
stats::cor()
order of column vectors
# NOT RUN { order_parcoord(iris) # }
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