View source: R/tidyMS_missigness.R
missigness_histogram | R Documentation |
Histogram summarizing missigness
missigness_histogram(
x,
config,
showempty = FALSE,
factors = config$table$factor_keys_depth(),
alpha = 0.1
)
Other plotting:
ContrastsPlotter
,
INTERNAL_FUNCTIONS_BY_FAMILY
,
UpSet_interaction_missing_stats()
,
UpSet_missing_stats()
,
medpolish_estimate_df()
,
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_interaction_missing_stats()
,
UpSet_missing_stats()
,
get_contrast()
,
missingness_per_condition()
,
missingness_per_condition_cumsum()
istar <- sim_lfq_data_peptide_config()
config <- istar$config
analysis <- istar$data
xx <- complete_cases(analysis, config)
pl <- missigness_histogram(xx, config)
pl <- missigness_histogram(analysis, config, showempty=FALSE)
stopifnot("ggplot" %in% class(pl))
pl <- missigness_histogram(analysis, config, showempty=TRUE)
stopifnot("ggplot" %in% class(pl))
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