cor_heat: Correlation plot

In wjschne/WJSmisc: Miscellaneous functions from W. Joel Schneider

Correlation plot

Description

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

wjschne/WJSmisc documentation built on June 29, 2023, 8:04 a.m.