Re-arrange a correlation data frame to group highly correlated variables closer
together.
Usage
rearrange(x, method = "PC", absolute = TRUE)
Value
cor_df. See correlate.
Arguments
x
cor_df. See correlate.
method
String specifying the arrangement (clustering) method.
Clustering is achieved via seriate, which can be
consulted for a complete list of clustering methods. Default = "PCA".
absolute
Boolean whether absolute values for the correlations should
be used for clustering.
x <- correlate(mtcars)
rearrange(x) # Default settingsrearrange(x, method = "HC") # Different seriation methodrearrange(x, absolute = FALSE) # Not using absolute values for arranging