plot_quantile_heatmap: Plot Wavelet Quantile Correlation Heatmap

In wqc: Wavelet Quantile Correlation Analysis

Plot Wavelet Quantile Correlation Heatmap

Description

Create a heatmap of estimated quantile-wavelet correlations with white borders for cells where the estimate lies outside its 95% confidence interval.

Usage

plot_quantile_heatmap(
  df,
  label_levels = TRUE,
  palette = viridisLite::viridis(100)
)

Arguments

df	Data frame with columns Level, Quantile, Estimated_QC, CI_Lower, and CI_Upper.
label_levels	Logical; if TRUE, label the y-axis with level numbers.
palette	Color palette vector for col.regions; default uses viridisLite::viridis(100).

Value

A lattice levelplot object (invisibly).

Examples

df <- data.frame(
  Level        = rep(1:2, each = 3),
  Quantile     = rep(c(0.1, 0.5, 0.9), times = 2),
  Estimated_QC = runif(6, -1, 1),
  CI_Lower     = rep(-0.5, 6),
  CI_Upper     = rep(0.5, 6)
)
# Use :: for namespace clarity, avoid library() calls
plot_quantile_heatmap(df, label_levels = TRUE, palette = viridisLite::viridis(100))

wqc documentation built on June 18, 2025, 9:08 a.m.