One new function to ease secure dataset retrieval and a few bug fixes.
### Functions
* New: `easy_redcap()` function to ease the retrieval of a dataset with `read_redcap_tables()` with `keyring`-package based key storage, which handles secure API set, storage and retrieval. Relies on a small helper function, `get_api_key()`, which wraps relevant `keyring`-functions. Includes option to cast the data in a wide format with flag `widen.data`.
* Fix: `REDCap_split()`: when using this function on its own, supplying a data set with check boxes would fail if metadata is supplied as a tibble. Metadata is now converted to data.frame. Fixed.
* Fix: `read_redcap_tables()`: fixed bug when supplying events.
This version marks the introduction of a few helper functions to handle database creation.
### Functions
* New: `ds2dd()` function migrating from the `stRoke`-package. Assists in building a data dictionary for REDCap from a dataset.
* New: `strsplitx()` function to ease the string splitting as an extension of `base::strsplit()`. Inspiration from https://stackoverflow.com/a/11014253/21019325 and https://www.r-bloggers.com/2018/04/strsplit-but-keeping-the-delimiter/.
* New: `d2n()` function converts single digits to written numbers. Used to sanitize variable and form names in REDCap database creation. For more universal number to word I would suggest `english::word()` or `xfun::numbers_to_words()`, though I have not been testing these.
To reflect new functions and the limitation to only working in R, I have changed the naming of the fork, while still, of course, maintaining the status as a fork.
The main goal this package is to keep the option to only export a defined subset of the whole dataset from the REDCap server as is made possible through the `REDCapR::redcap_read()` function, and combine it with the work put into the REDCapRITS package and the handling of longitudinal projects and/or projects with repeated instruments.
*`read_redcap_tables()`**NEW**: this function is mainly an implementation of the combined use of `REDCapR::readcap_read()` and `REDCap_split()` to maintain the focused nature of `REDCapR::readcap_read()`, to only download the specified data. Also implements tests of valid form names and event names. The usual fall-back solution was to get all data.
*`focused_metadata()`**NEW**: a hidden helper function to enable a focused data acquisition approach to handle only a subset of metadata corresponding to the focused dataset.
* metadata handling **IMPROVED**: improved handling of different column names in matadata (DataDictionary) from REDCap dependent on whether it is acquired thorugh the api og downloaded from the server.
