util_compare_meta_with_study {dataquieR}

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

Description

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

Usage

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

Value

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 states ⁠0, 1, 2, 3⁠: 0 = Mismatch, not convertible 1 = Match 2 = Mismatch, but convertible 3 = Mismatch, convertible, but with issues (e.g., loss of decimal places) for ⁠return_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_merge_data_frame_list(), util_rbind(), util_remove_na_records(), util_replace_hard_limit_violations(), util_study_var2factor(), util_table_of_vct()