The tidy table does not need to contain missing data. This function re-establishes the missing observations in a sample.
complete_cases(pdata, config)
data.frame
AnlalysisConfiguration
Other configuration:
AnalysisConfiguration
,
AnalysisParameters
,
AnalysisTableAnnotation
,
INTERNAL_FUNCTIONS_BY_FAMILY
,
R6_extract_values()
,
concrete_AnalysisConfiguration
,
make_interaction_column()
,
make_reduced_hierarchy_config()
,
sample_subset()
,
separate_factors()
,
separate_hierarchy()
,
setup_analysis()
,
spread_response_by_IsotopeLabel()
,
table_factors()
bb <- sim_lfq_data_protein_config()
#> creating sampleName from fileName column
#> completing cases
xx <- complete_cases(bb$data, bb$config)
#> completing cases
stopifnot(nrow(bb$data) <= nrow(xx))