corrRect.hclust: Draw rectangles on the correlation matrix graph.

In corrplot: Visualization of a Correlation Matrix

Description

Draw rectangles on the correlation matrix graph based on hierarchical cluster (hclust).

Usage

corrRect.hclust(
  corr,
  k = 2,
  col = "black",
  lwd = 2,
  method = c("complete", "ward", "ward.D", "ward.D2", "single", "average", "mcquitty",
    "median", "centroid")
)

Arguments

corr	Correlation matrix for function corrRect.hclust. It use 1-corr as dist in hierarchical clustering (hclust).
k	Integer, the number of rectangles drawn on the graph according to the hierarchical cluster, for function corrRect.hclust.
col	Color of rectangles.
lwd	Line width of rectangles.
method	Character, the agglomeration method to be used for hierarchical clustering (hclust). This should be (an unambiguous abbreviation of) one of 'ward', 'ward.D', 'ward.D2', 'single', 'complete', 'average', 'mcquitty', 'median' or 'centroid'.

Author(s)

Taiyun Wei

Examples

data(mtcars)
M = cor(mtcars)
corrplot(M, order = 'FPC') -> p
corrRect(p, index = c(1, 6, 11))

if(getRversion() >= '4.1.0') {
  corrplot(M, order = 'FPC') |> corrRect(index = c(1, 6, 11))
}

(order.hc = corrMatOrder(M, order = 'hclust'))
(order.hc2 = corrMatOrder(M, order = 'hclust', hclust.method = 'ward.D2'))
M.hc  = M[order.hc, order.hc]
M.hc2 = M[order.hc2, order.hc2]

par(ask = TRUE)

# same as: corrplot(M, order = 'hclust', addrect = 2)
corrplot(M.hc)
corrRect.hclust(corr = M.hc, k = 2)

# same as: corrplot(M, order = 'hclust', addrect = 3)
corrplot(M.hc)
corrRect.hclust(corr = M.hc, k = 3)

# same as: corrplot(M, order = 'hclust', hclust.method = 'ward.D2', addrect = 2)
corrplot(M.hc2)
corrRect.hclust(M.hc2, k = 2, method = 'ward.D2')

# same as: corrplot(M, order = 'hclust', hclust.method = 'ward.D2', addrect = 3)
corrplot(M.hc2)
corrRect.hclust(M.hc2, k = 3, method = 'ward.D2')

# same as: corrplot(M, order = 'hclust', hclust.method = 'ward.D2', addrect = 4)
corrplot(M.hc2)
corrRect.hclust(M.hc2, k = 4, method = 'ward.D2')

corrplot documentation built on Nov. 18, 2021, 5:06 p.m.