corrRect.hclust

From corrplot v0.84 by Taiyun Wei

Draw rectangles on the correlation matrix graph.

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

Keywords: hplot

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".

Examples

# NOT RUN {
data(mtcars)
M <- cor(mtcars)
corrplot(M, method = "circle", order = "FPC")
corrRect(c(5,6))

(order.hc <- corrMatOrder(M, order = "hclust"))
(order.hc2 <- corrMatOrder(M, order = "hclust", hclust.method = "ward"))
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", addrect = 2)
corrplot(M.hc2)
corrRect.hclust(M.hc2, k = 2, method = "ward")

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

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

Documentation reproduced from package corrplot, version 0.84, License: GPL

Community examples

Looks like there are no examples yet.