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Sort a correlation matrix based on hclust().
cor_sort(x, distance = "correlation", hclust_method = "complete", ...)A correlation matrix.
How the distance between each variable should be calculated.
If correlation (default; suited for correlation matrices), the matrix
will be rescaled to 0-1 (distance = 0 indicating correlation of 1;
distance = 1 indicating correlation of -1). If raw, then the matrix
will be used as a distance matrix as-is. Can be others (euclidean,
manhattan, ...), in which case it will be passed to dist() (see the
arguments for it).
Argument passed down into the method argument of hclust().
Other arguments to be passed to or from other functions.
x <- correlation(mtcars)
cor_sort(as.matrix(x))
cor_sort(x, hclust_method = "ward.D2") # It can also reorder the long form output
cor_sort(summary(x, redundant = TRUE)) # As well as from the summary
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