NEWS
metatools 0.1.6 (2024-07-23)
- Breaking change:
combine_supp()
requires that the QNAM columns are not in the source dataset (#64)
- Breaking change:
build_from_derived()
no longer requires all datasets with predecessors, but can run on a single dataset or multiple. It will also now accept unnamed datasets.
combine_supp()
now allows multiple QNAM
values to go to the same IDVAR
(#63)
- Allow supp data to be zero-row with
combine_supp()
(#45)
- Enhance
check_ct_data()
so that na_acceptable
can now accept a vector of variables. Also add new argument omit_vars
to control if any variables should be skipped when doing controlled terminology checks (#57)
- Add
check_unique_keys()
to check the uniqueness of records in the dataset by variable keys (#52)
- Correct the description of
build_from_derived()
predecessor_only parameter
metatools 0.1.4 (2023-02-13)
- correct bug with
combine_supp()
when the data and the supp have white space. Now it will be trimmed before attempting to merge
- Updates made to work with the newest version of dplyr
metatools 0.1.3 (2022-10-06)
- correct bug with
build_from_derived()
that prevented multiple from being combined
- removed library calls from tests
- remove
floating_pt_correction
from combine_supp()
as it is best to never change the type of the main dataset
- Add a message to
drop_unspec_vars
to explain which variables are dropped
- Correct bug in
order_cols
, so it will still work when not all columns are present
metatools 0.1.2
- correct bug with
combine_supp()
when the data and the supp have different classes for the IDVARVAL
- add error to
combine_supp()
to report when not all the rows in the supp have merged
- add
floating_pt_correction
argument to combine_supp()
used for when there are floating point errors with IDVARVAL
metatools 0.1.1 (2022-04-20)
- Based on tester feedback, remove any row in supplemental qualifiers that are empty and rearranged the columns