plot_heatmap_cor: plot correlation heatmap with annotations

In wolski/prolfqua: Proteomics Label Free Quantification

plot correlation heatmap with annotations

Description

plot correlation heatmap with annotations

Usage

plot_heatmap_cor(
  data,
  config,
  R2 = FALSE,
  color = colorRampPalette(c("white", "red"))(1024),
  ...
)

See Also

Other plotting: ContrastsPlotter, INTERNAL_FUNCTIONS_BY_FAMILY, UpSet_interaction_missing_stats(), UpSet_missing_stats(), medpolish_estimate_df(), missigness_histogram(), missingness_per_condition(), missingness_per_condition_cumsum(), plot_NA_heatmap(), plot_estimate(), plot_heatmap(), plot_hierarchies_add_quantline(), plot_hierarchies_boxplot_df(), plot_hierarchies_line(), plot_hierarchies_line_df(), plot_intensity_distribution_violin(), plot_pca(), plot_raster(), plot_sample_correlation(), plot_screeplot()

Examples

istar <- sim_lfq_data_protein_config()
config <- istar$config
analysis <- istar$data

pheat_map <- prolfqua::plot_heatmap_cor( analysis, config )
stopifnot("pheatmap" %in% class(pheat_map))
pheat_map <- plot_heatmap_cor( analysis, config, R2 = TRUE )
stopifnot("pheatmap" %in% class(pheat_map))

wolski/prolfqua documentation built on May 12, 2024, 10:16 p.m.