corrplot.mixed

0th

Percentile

Using mixed methods to visualize a correlation matrix.

Using mixed methods to visualize a correlation matrix.

Usage
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), ...)
Arguments
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, "lt", "d" or "n", giving position of text labels, "lt" means left and top, "d" means diagonal. If "n", add no textlabel.

diag

Character, for specifying the glyph on the principal diagonal. It is one of "n" (default, draw nothing), "l" (draw the glyphs of lower triangular) or "u" (draw the glyphs of upper triangular).

bg

The background color.

addgrid.col

See the addgrid.col parameter in the function corrplot

lower.col

Passed as col parameter to the lower matrix.

upper.col

Passed as col parameter to the upper matrix.

plotCI

See the plotCI parameter in the function corrplot

mar

See par.

Additional arguments for corrplot's wrappers

Aliases
  • corrplot.mixed
Examples
# NOT RUN {
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")
# }
Documentation reproduced from package corrplot, version 0.84, License: GPL

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