Correlation plot

Usage

cor_heat(
  d,
  test_names = colnames(d),
  margins = 0.55,
  text_size = 4,
  dendrograms = TRUE,
  palette_col = c("firebrick", "white", "royalblue"),
  x_label_angle = 90,
  reorder_vars = TRUE,
  heat.lim = c(-1, 1),
  heat.pal.values = seq(0, 1, 1/(length(palette_col) - 1)),
  ...
)

Arguments

d: Data or correlation matrix
test_names: Vector of names of variables
margins: Width of margins for labels
text_size: Size of text
dendrograms: If TRUE, add dendrograms
palette_col: A vector of three colors for heatmap
x_label_angle: Angle of x-axis label
reorder_vars: If TRUE, reorder variables based on cluster analysis
heat.lim: Vector of the lower and upper bounds on heat map
heat.pal.values: Vector of values of where on the scale each color in palette_col falls. Defaults to even spacing.
...: Additional parameters passed to superheat::superheat