R/tidyMS_aggregation.R
plot_hierarchies_line_df.RdGenerates peptide level plots for all proteins
plot_hierarchies_line_df(pdata, config, show.legend = FALSE)Other aggregation:
INTERNAL_FUNCTIONS_BY_FAMILY,
aggregate_intensity_topN(),
estimate_intensity(),
intensity_summary_by_hkeys(),
medpolish_estimate(),
medpolish_estimate_df(),
medpolish_estimate_dfconfig(),
medpolish_protein_estimates(),
plot_estimate(),
plot_hierarchies_add_quantline(),
plot_hierarchies_line(),
rlm_estimate(),
rlm_estimate_dfconfig()
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_heatmap_cor_iheatmap(),
plot_hierarchies_add_quantline(),
plot_hierarchies_boxplot_df(),
plot_hierarchies_line(),
plot_intensity_distribution_violin(),
plot_pca(),
plot_raster(),
plot_sample_correlation(),
plot_screeplot()
istar <- sim_lfq_data_peptide_config()
#> creating sampleName from fileName column
#> completing cases
#> completing cases done
#> setup done
istar$config$table$is_response_transformed <- FALSE
res <- plot_hierarchies_line_df(istar$data, istar$config)
res[[1]]
#> Warning: Removed 7 rows containing missing values or values outside the scale range
#> (`geom_point()`).
#> Warning: Removed 1 row containing missing values or values outside the scale range
#> (`geom_line()`).
istar$config$table$is_response_transformed <- TRUE
res <- plot_hierarchies_line_df(istar$data, istar$config)
res[[2]]
#> Warning: Removed 2 rows containing missing values or values outside the scale range
#> (`geom_point()`).
#TODO make it work for other hiearachy levels.