plot_sample_correlation: visualize correlation among samples

In wolski/prolfqua: Proteomics Label Free Quantification

visualize correlation among samples

Description

visualize correlation among samples

Usage

plot_sample_correlation(pdata, config)

Arguments

pdata	data.frame
config	AnalysisConfiguration

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_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_screeplot()

Examples

istar <-sim_lfq_data_peptide_config()

config <- istar$config
analysis <- istar$data

analysis <- remove_small_intensities(analysis, config)
analysis <- transform_work_intensity(analysis, config, log2)
mm <- tidy_to_wide_config(analysis, config, as.matrix = TRUE)
class(plot_sample_correlation(analysis, config))
plot_sample_correlation(analysis, config)

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