Generates peptide level plots for all proteins

Generates peptide level plots for all proteins

Usage

plot_hierarchies_line_df(pdata, lfqdata, show.legend = FALSE)

Arguments

pdata

data.frame

lfqdata

LFQData object

See also

plot_hierarchies_line

Other aggregation: INTERNAL_FUNCTIONS_BY_FAMILY, aggregate_intensity_top_n(), estimate_intensity(), medpolish_estimate(), medpolish_estimate_df(), medpolish_estimate_dfconfig(), plot_estimate(), plot_hierarchies_add_quantline(), plot_hierarchies_line(), rlm_estimate(), rlm_estimate_dfconfig()

Other plotting: ContrastsPlotter, INTERNAL_FUNCTIONS_BY_FAMILY, medpolish_estimate_df(), missigness_histogram(), missingness_per_condition(), missingness_per_condition_cumsum(), plot_estimate(), plot_heatmap(), plot_heatmap_cor(), plot_hierarchies_add_quantline(), plot_hierarchies_boxplot_df(), plot_hierarchies_line(), plot_intensity_distribution_violin(), plot_na_heatmap(), plot_pca(), plot_raster(), plot_sample_correlation(), upset_interaction_missing_stats(), upset_missing_stats()

Examples

istar <- sim_lfq_data_peptide_config()
#> creating sampleName from file_name column
#> completing cases
#> completing cases done
#> setup done
lfq <- LFQData$new(istar$data, istar$config)
res <- plot_hierarchies_line_df(lfq$data_long(), lfq)
res[[1]]
#> Warning: Removed 7 rows containing missing values or values outside the scale range
#> (`geom_point()`).
#> Warning: Removed 4 rows containing missing values or values outside the scale range
#> (`geom_line()`).