util_compare_meta_with_study function

Compares study data data types with the ones expected according to the metadata

Utility function to compare data type of study data with those defined in metadata

util_compare_meta_with_study(
  sdf,
  mdf,
  label_col,
  check_convertible = FALSE,
  threshold_value = 0,
  return_percentages = FALSE,
  check_conversion_stable = FALSE
)

Arguments

• sdf: the data.frame of study data

• mdf: the data.frame of associated static metadata

• label_col: variable attribute the name of the column in the metadata with labels of variables

• check_convertible: logical also try, if a conversion to the declared data type would work.

• threshold_value: numeric from=0 to=100. percentage failing conversions allowed if check_convertible

  is TRUE.

• return_percentages: logical return the percentage of mismatches.

• check_conversion_stable: logical do not distinguish convertible from convertible, but with issues

Returns

for return_percentages == FALSE: if check_convertible is FALSE, a binary vector (0, 1) if data type applies, if check_convertible is TRUE`` a vector with the states0, 1, 2, 3: 0 = Mismatch, not convertible 1 = Match 2 = Mismatch, but convertible3 = Mismatch, convertible, but with issues (e.g., loss of decimalplaces) forreturn_percentages == TRUE`: a data frame with percentages of non-matching datatypes according, each column is a variable, the rows follow the vectors returned by util_check_data_type .

See Also

prep_dq_data_type_of

prep_datatype_from_data

Other data_management: util_assign_levlabs(), util_check_data_type(), util_check_group_levels(), util_dichotomize(), util_fix_merge_dups(), util_merge_data_frame_list(), util_rbind(), util_remove_na_records(), util_replace_hard_limit_violations(), util_round_to_decimal_places(), util_study_var2factor(), util_table_of_vct()