plot_correlation: Plot correlation

In daltoolbox: Leveraging Experiment Lines to Data Analytics

Plot correlation

Description

Correlation heatmap with optional labels and triangle filtering.

Usage

plot_correlation(
  df,
  vars = NULL,
  method = c("pearson", "spearman", "kendall"),
  use = "pairwise.complete.obs",
  triangle = c("full", "upper", "lower"),
  reorder = c("none", "hclust", "alphabetical"),
  digits = 2,
  label_size = 3,
  tile_color = "white",
  show_diag = TRUE,
  title = NULL
)

Arguments

df	data.frame with numeric columns
vars	optional vector of column names to include
method	correlation method: "pearson", "spearman", or "kendall"
use	handling of missing values for stats::cor
triangle	which triangle to show: "full", "upper", or "lower"
reorder	reordering strategy: "none", "hclust", or "alphabetical"
digits	number of digits for labels
label_size	size of label text
tile_color	border color for tiles
show_diag	whether to show the diagonal
title	optional plot title

Details

Computes a correlation matrix from numeric columns (or vars) and renders a ggplot2 heatmap with values annotated. Supports reordering by hierarchical clustering or alphabetically.

Value

returns a ggplot2::ggplot graphic

Examples

data(iris)
grf <- plot_correlation(iris[,1:4])
plot(grf)

daltoolbox documentation built on Feb. 10, 2026, 9:06 a.m.