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Add protein estimate to plot of peptide intensities

Source: R/tidyMS_aggregation.R
plot_hierarchies_add_quantline.Rd

Add protein estimate to plot of peptide intensities

Usage

plot_hierarchies_add_quantline(p, data, aes_y, sample_name)

See also

Other aggregation: INTERNAL_FUNCTIONS_BY_FAMILY, aggregate_intensity_top_n(), estimate_intensity(), medpolish_estimate(), medpolish_estimate_df(), medpolish_estimate_dfconfig(), plot_estimate(), plot_hierarchies_line(), plot_hierarchies_line_df(), 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_boxplot_df(), plot_hierarchies_line(), plot_hierarchies_line_df(), plot_intensity_distribution_violin(), plot_na_heatmap(), plot_pca(), plot_raster(), plot_sample_correlation(), upset_interaction_missing_stats(), upset_missing_stats()

Examples

p <- ggplot2::ggplot(
  data.frame(sample = c("S1", "S2"), abundance = c(1, 2)),
  ggplot2::aes(x = sample, y = abundance, group = 1)
) +
  ggplot2::geom_line()
plot_hierarchies_add_quantline(
  p,
  data.frame(sample = c("S1", "S2"), estimate = c(1.1, 1.8)),
  aes_y = "estimate",
  sample_name = "sample"
)