R Under development (unstable) (2024-06-13 r86731 ucrt) -- "Unsuffered Consequences"
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> # This file is part of the standard setup for testthat.
> # It is recommended that you do not modify it.
> #
> # Where should you do additional test configuration?
> # Learn more about the roles of various files in:
> # * https://r-pkgs.org/tests.html
> # * https://testthat.r-lib.org/reference/test_package.html#special-files
> 
> library("testthat") # nolint
> library("cleanepi") # nolint
> 
> test_check("cleanepi")
Removing unrecognised column name: fake_nameDetected 2 incorrect date sequences at
                           line(s): 6, 8At least 2 event dates are required!
cleaning column names
removing the constant columns, empty rows and columns
removing duplicated rows

cleaning column names
replacing missing values with NA
removing the constant columns, empty rows and columns
removing duplicated rows
standardising date columns
checking subject IDs format
converting sex en into numeric
performing dictionary-based cleaning
checking whether date the sequences are respected
'target_columns' must be provided.
cleaning column names
replacing missing values with NA
removing the constant columns, empty rows and columns
removing duplicated rows
standardising date columns
checking subject IDs format
Replace column names already existsAssertion on',keep,'failed: usage of 'linelist_tags'
                            is only reserved for 'linelist' type of data.Assertion on',keep or rename,'failed: Only the
                           column names from the input data can be renamed or
                           kept.Supplied incorrect target column name'fake_column_name' not found.'gender' column has similar number of numeric and
                           character values.'gender' column has similar number of numeric and
                           character values.target_columns not specified and could not be
                           identified from scan_data() function.
Detected misspelled values at lines 2 of column 'gender'
Please add the misspelled options to the data dictionary using the add_to_dictionary() function.
Please add the misspelled options to the data dictionary using the add_to_dictionary() function.
Unrecognised column name: 'fake_column_name'Found 57 duplicated rows. Please consult the report for more details.
Found 57 duplicated rows. Please consult the report for more details.
Found 57 duplicated rows. Please consult the report for more details.
Found 57 duplicated rows. Please consult the report for more details.
The provided missing value strings must be part of the columns
                 in the data.Can't find columns: fake_column_nameCan't find columns: fake_column_nameorders must be a list of character vectorsDetected incorrect subject ids at lines: 5, 7, 3

                 Use the correct_subject_ids() function to adjust them.Assertion on',data,'failed: input data frame must be
                 provided.Assertion on',id_column_name,'failed: Missing value not
                 allowed for 'id_column_name'.Assertion on',id_column_name,'failed: Must be a character of
                 length 1.Assertion on',nchar,'failed: template sample IDs format
                 must be provided.All subject ids in the correction table should be part of the
                 subject ids column of the input data.Column in 'correction_table' must be named as 'from' and
                 'to'Missing values found on ID column in lines: 7Assertion on',target_columns,'failed: all specified target
                 columns will be ignored because they are either empty or
                 constant.Assertion on',keep,'failed: usage of 'linelist_tags'
                 is only reserved for 'linelist' type of data.Some specified column names indices are out of bound.[ FAIL 0 | WARN 139 | SKIP 2 | PASS 297 ]

══ Skipped tests (2) ═══════════════════════════════════════════════════════════
• On CRAN (2): 'test-print_report.R:33:3', 'test-print_report.R:49:3'

[ FAIL 0 | WARN 139 | SKIP 2 | PASS 297 ]
> 
> proc.time()
   user  system elapsed 
  42.17    2.25   44.42