Renames columns, coerces types, applies factor levels from codes, and
reports mismatches. Returns a transformed tibble ready for analysis or
packaging.
Usage
apply_salmon_dictionary(df, dict, codes = NULL, strict = TRUE)
Arguments
- df
A data frame or tibble to transform
- dict
A validated dictionary tibble
- codes
Optional tibble with code lists (columns: dataset_id,
table_id, column_name, code_value, code_label, etc.)
- strict
Logical; if TRUE (default), errors on type coercion
failures; if FALSE, warns and coerces to character
Value
A tibble with renamed columns, coerced types, and factor levels
applied
Examples
dict <- infer_dictionary(mtcars)
validate_dictionary(dict)
#> ✔ Dictionary validation passed
applied <- apply_salmon_dictionary(mtcars, dict)
#> ✔ Dictionary validation passed
