plot_intensity_distribution_violin: visualize intensity distributions

In wolski/prolfqua: Proteomics Label Free Quantification

visualize intensity distributions

Description

visualize intensity distributions

visualize intensity distributions

Usage

plot_intensity_distribution_violin(pdata, config)

plot_intensity_distribution_density(pdata, config, legend = TRUE)

Arguments

pdata	data.frame
config	AnalysisConfiguration
legend	do not show legend

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_pca(), plot_raster(), plot_sample_correlation(), plot_screeplot()

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_pca(), plot_raster(), plot_sample_correlation(), plot_screeplot()

Examples

istar <-sim_lfq_data_peptide_config()

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

plot_intensity_distribution_violin(analysis, config)
analysis <- transform_work_intensity(analysis, config, log2)
plot_intensity_distribution_violin(analysis, config)


istar <-sim_lfq_data_peptide_config()

config <- istar$config
analysis <- istar$data
plot_intensity_distribution_density(analysis, config)
analysis <- transform_work_intensity(analysis, config, log2)
plot_intensity_distribution_density(analysis, config)

wolski/prolfqua documentation built on Oct. 31, 2024, 9:22 a.m.