The tidy table does not need to contain missing data. This function re-establishes the missing observations in a sample.
See also
Other configuration:
AnalysisConfiguration,
ContrastConfiguration,
INTERNAL_FUNCTIONS_BY_FAMILY,
R6_extract_values(),
list_to_ContrastConfiguration(),
make_interaction_column(),
make_reduced_hierarchy_config(),
sample_subset(),
separate_hierarchy(),
setup_analysis(),
table_factors(),
table_factors_size()
Examples
bb <- sim_lfq_data_protein_config()
#> creating sampleName from file_name column
#> completing cases
#> completing cases done
#> setup done
lfq <- LFQData$new(bb$data, bb$config)
xx <- complete_cases(lfq)
#> completing cases
stopifnot(nrow(bb$data) <= nrow(xx))