R/tidyMS_missigness.R
UpSet_interaction_missing_stats.Rd
UpSetR plot from interaction_missing_stats
UpSet_interaction_missing_stats(data, cf, tr = 2)
if less than tr observations in condition then missing
Other plotting:
ContrastsPlotter
,
INTERNAL_FUNCTIONS_BY_FAMILY
,
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_sample_correlation()
,
plot_screeplot()
Other imputation:
UpSet_missing_stats()
,
get_contrast()
,
missigness_histogram()
,
missingness_per_condition()
,
missingness_per_condition_cumsum()
istar <- sim_lfq_data_peptide_config()
#> creating sampleName from fileName column
#> Warning: no nr_children column specified in the data, adding column nr_children and setting to 1.
#> completing cases
config <- istar$config
analysis <- istar$data
pups <- UpSet_interaction_missing_stats(analysis, config)
#> Warning: >>>> deprecated! <<<<
#>
#> use summarize_stats_factors instead.
#> completing cases
stopifnot(ncol(pups$data) == 5)
if (FALSE) {
UpSetR::upset(pups$data, order.by = "freq", nsets = pups$nsets)
}