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- Add
get_keys function which returns the dataset keys for a given dataset #102
- Fix issues with
select_dataset(simplify = TRUE) #97
- Update to resolve issues from the dplyr updates
- Add variable cross checks to check consistent use of label, type, and format
- Add
is_metacore() function to check if it is a metacore object
- #64 Resolve issue so define and spec readers work when value levels are empty
- Updates for latest version of {tidyselect}
- Move from XML to xml2 for define.xml processing
- Correct issue with warning on ds_var$core
- Correct bug with not reading the derivation of predecessor and assigned variables correctly
- Correct typos
- Limits origin value/make all origins lower case
- #47 Improve
yn_to_tf() to be more robust in parsing yes/no columns
- Adds a supp table to store the
idvar and qeval information
- Adds
sig_digcolumn to the value_spec table
- Fixes bugs found in the
get_control_term function and improves error messages for get_control_term
- Improves internal naming consistency by renaming
define_to_MetaCore to define_to_metacore
- Adds quiet option to readers, to allow users to optionally ignore the reader warnings
- Creates new example metacore object that is an .rda so much faster to read in
- Fixes issue with select dataset when variables are duplicated
This fixes the following issues:
- #16 the metacore function now accepts any empty datasets and creates an empty dataset with the correct column names and types
- #10 yn function checks for logicals and returns them
- #11 updated function description to make this clearer
- #12 updated regex so to “[F|f]ormat” so it can accept lower case
- #14 added supp_flag to ds_vars (on a side note we did a really good job with this it was super easy to change and only required a few edits)
- #15 modified create_tbl so if there are two potential matches in the same dataset and one is an exact match it uses that
Additionally, it adds the get_control_term function to get pull out the control term for a given variable.
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