| corrRect {corrplot} | R Documentation |
Draw rectangle(s) on the correlation matrix graph.
Description
Draw rectangle(s) after the correlation matrix plotted. SUGGESTION: It's more convenient to draw rectangle(s) by using pipe operator '|>' since R 4.1.0.
Usage
corrRect(
corrRes = NULL,
index = NULL,
name = NULL,
namesMat = NULL,
col = "black",
lwd = 2,
...
)
Arguments
corrRes |
List of the |
index |
Vector, variable index of diag rect |
name |
Vector, variable name of diag rect |
namesMat |
4-length character vector or 4-columns character matrix,
represents the names of xleft, ybottom, xright, ytop correspondingly.
It needs |
col |
Color of rectangles. |
lwd |
Line width of rectangles. |
... |
Additional arguments passing to function |
Details
corrRect needs one of index, name and namesMat inputted.
While corrRect.hclust can get the members in each cluster
based on hierarchical clustering (hclust).
Value
(Invisibly) returns input parameter corrRes,
usually list(corr, corrTrans, arg).
Author(s)
Taiyun Wei
Examples
data(mtcars)
M = cor(mtcars)
r = rbind(c('gear', 'wt', 'qsec', 'carb'),
c('wt', 'gear', 'carb', 'qsec'))
corrplot(M, order = 'AOE') -> p
corrRect(p, namesMat = r)
# same as using pipe operator `|>`
if(getRversion() >= '4.1.0') {
corrplot(M, order = 'AOE') |> corrRect(namesMat = r)
}
r = c('gear', 'carb', 'qsec', 'wt')
corrplot(M, order = 'AOE', type='lower') -> p
corrRect(p, namesMat = r)
# same as using pipe operator `|>`
if(getRversion() >= '4.1.0') {
corrplot(M, order = 'AOE', type='lower') |>
corrRect(namesMat = r)
}
corrplot(M, order = 'hclust', type = 'upper') -> p
corrRect(p, index = c(1, 6, 11))
# same as using pipe operator
if(getRversion() >= '4.1.0') {
corrplot(M, order = 'AOE', type='lower') |>
corrRect(index = c(1, 6, 11))
}
corrplot(M, order = 'hclust') -> p
corrRect(p, name = c('carb', 'qsec', 'gear'))
# same as using pipe operator
if(getRversion() >= '4.1.0') {
corrplot(M, order = 'hclust') |>
corrRect(name = c('carb', 'qsec', 'gear'))
}
(order.hc = corrMatOrder(M, order = 'hclust'))
(order.hc2 = corrMatOrder(M, order = 'hclust', hclust.method = 'ward.D'))
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.D', addrect = 2)
corrplot(M.hc2)
corrRect.hclust(M.hc2, k = 2, method = 'ward.D')
# same as: corrplot(M, order = 'hclust', hclust.method = 'ward.D', addrect = 3)
corrplot(M.hc2)
corrRect.hclust(M.hc2, k = 3, method = 'ward.D')
# same as: corrplot(M, order = 'hclust', hclust.method = 'ward.D', addrect = 4)
corrplot(M.hc2)
corrRect.hclust(M.hc2, k = 4, method = 'ward.D')