plot_heatmap: plot heatmap with annotations

In wolski/prolfqua: Proteomics Label Free Quantification

plot heatmap with annotations

Description

plot heatmap with annotations

Usage

plot_heatmap(data, config, na_fraction = 0.4, show_rownames = FALSE, ...)

Arguments

na_fraction	fraction of NA values per row
show_rownames	if TRUE shows row names, default FALSE

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_cor(), 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


p  <- plot_heatmap(analysis, config)
stopifnot(class(p) == "pheatmap")
p2 <- plot_heatmap(analysis, config, show_rownames = TRUE)
stopifnot(class(p) == "pheatmap")

wolski/prolfqua documentation built on Dec. 4, 2024, 11:18 p.m.