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),
  ...
)

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

Author

Taiyun Wei

Examples

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')