Nothing
Code
check_tidy_omic(double_data_tidy, fast_check = FALSE)
Error <simpleError>
100 measurements were present multiple times with
the same feature and sample primary keys
For example:
feature = 1 ; sample = 1
feature = 1 ; sample = 2
feature = 1 ; sample = 3
feature = 1 ; sample = 4
feature = 1 ; sample = 5
feature = 1 ; sample = 6
feature = 1 ; sample = 7
feature = 1 ; sample = 8
feature = 1 ; sample = 9
feature = 1 ; sample = 10
Code
create_tidy_omic(degenerate_attributes %>% select(-degen_sample_var),
feature_pk = "features", sample_pk = "samples", feature_var = "degen_feature_var",
verbose = FALSE)
Error <simpleError>
"degen_feature_var" was duplicated for 10 features
this variable should not be a feature attribute.
Code
create_tidy_omic(degenerate_attributes %>% select(-degen_feature_var),
feature_pk = "features", sample_pk = "samples", sample_var = "degen_sample_var",
verbose = FALSE)
Error <simpleError>
"degen_sample_var" was duplicated for 10 features
this variable should not be a feature attribute.
Code
create_tidy_omic(three_col_df_fct, feature_pk = "features", sample_pk = "samples",
sample_vars = "measurement", feature_vars = "measurement", verbose = FALSE)
Error <rlang_error>
measurement were assigned to multiple classes of variables each variable should only belong to one class
Code
infer_tomic_table_type(simple_tidy, samples_df %>% rename(fake_samples = samples))
Error <simpleError>
based on the "tomic" primary keys, tomic_table doesn't appear to
be features, samples or measurements
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