Using mixed methods to visualize a correlation matrix.
Using mixed methods to visualize a correlation matrix.
corrplot.mixed( corr, lower = "number", upper = "circle", tl.pos = c("d", "lt", "n"), diag = c("n", "l", "u"), bg = "white", addgrid.col = "grey", lower.col = NULL, upper.col = NULL, plotCI = c("n", "square", "circle", "rect"), mar = c(0, 0, 0, 0), ... )
corr |
Matrix, the correlation matrix to visualize. |
lower |
Character, the visualization method for the lower triangular correlation matrix. |
upper |
Character, the visualization method for the upper triangular correlation matrix. |
tl.pos |
Character, |
diag |
Character, for specifying the glyph on the principal diagonal. It
is one of |
bg |
The background color. |
addgrid.col |
See the |
lower.col |
Passed as |
upper.col |
Passed as |
plotCI |
See the |
mar |
See |
... |
Additional arguments for corrplot's wrappers |
Taiyun Wei
M <- cor(mtcars) ord <- corrMatOrder(M, order = "AOE") M2 <- M[ord,ord] corrplot.mixed(M2) corrplot.mixed(M2, lower = "ellipse", upper = "circle") corrplot.mixed(M2, lower = "square", upper = "circle") corrplot.mixed(M2, lower = "shade", upper = "circle") corrplot.mixed(M2, tl.pos = "lt") corrplot.mixed(M2, tl.pos = "lt", diag = "u") corrplot.mixed(M2, tl.pos = "lt", diag = "l") corrplot.mixed(M2, tl.pos = "n")
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