ggcormat: Print graphical representation of a correlation matrix.

In wrappedtools: Useful Wrappers Around Commonly Used Functions

Print graphical representation of a correlation matrix.

Description

ggcormat makes the same correlation matrix as cortestR and graphically represents it in a plot

Usage

ggcormat(
  cor_mat,
  p_mat = NULL,
  method = "Correlation",
  title = "",
  maxpoint = 2.1,
  textsize = 5,
  axistextsize = 2,
  titlesize = 3,
  breaklabels = NULL,
  lower_only = TRUE,
  .low = "blue3",
  .high = "red2",
  .legendtitle = NULL
)

Arguments

cor_mat	correlation matrix as produced by cor.
p_mat	Optional matrix of p-values; if provided, this is used to define size of dots rather than absolute correlation.
method	text specifying type of correlation.
title	plot title.
maxpoint	maximum for scale_size_manual, may need adjustment depending on plotsize.
textsize	for theme text.
axistextsize	relative text size for axes.
titlesize	as you already guessed, relative text size for title.
breaklabels	currently not used, intended for str_wrap.
lower_only	should only lower triangle be plotted?
.low	Color for heatmap.
.high	Color for heatmap.
.legendtitle	Optional name for color legend.

Value

A ggplot object, allowing further styling.

Examples

coeff_pvalues <- cortestR(mtcars[, c("wt", "mpg", "qsec", "hp")],
  split = TRUE, sign_symbol = FALSE
)
# focus on coefficients:
ggcormat(cor_mat = coeff_pvalues$corout, maxpoint = 5)
# size taken from p-value:
ggcormat(
  cor_mat = coeff_pvalues$corout,
  p_mat = coeff_pvalues$pout, maxpoint = 5)

wrappedtools documentation built on Sept. 24, 2023, 5:06 p.m.