EDCimport is a package designed to easily import data from EDC software TrialMaster and Macro. Browse code at https://github.com/DanChaltiel/EDCimport.
New function edc_swimmerplot() to show a swimmer
plot of all dates in the database and easily find outliers.
New features in read_trialmaster():
clean_names_fun=some_fun will clean all names of all
tables. For instance,
clean_names_fun=janitor::clean_names() will turn default
SAS uppercase column names into valid R snake-case column names.split_mixed=TRUE will split tables that contain both
long and short data regarding patient ID into one long table and one
short table. See ?split_mixed_datasets() for details.extend_lookup =TRUE will improve the lookup table with
additional information. See ?extend_lookup() for
details.key_columns=get_key_cols() is where you can change the
default column names for patient ID and CRF name (used in other new
features).Standalone functions extend_lookup() and
split_mixed_datasets().
New helper unify(), which turns a vector of
duplicate values into a vector of length 1.
Reading errors are now handled by read_trialmaster()
instead of failing. If one XPT file is corrupted, the resulting object
will contain the error message instead of the dataset.
find_keyword() is now robust to non-UTF8 characters
in labels.
Option edc_lookup is now set even when reading from
cache.
SAS formats containing a = now work as
intended.
Import your data from TrialMaster using
tm = read_trialmaster("path/to/archive.zip").
Search for a keyword in any column name or label using
find_keyword("date", data=tm$.lookup). You can also
generate a lookup table for an arbitrary list of dataframe using
get_lookup(my_data).
Load the datasets to the global environment using
load_list(tm) to avoid typing tm$
everywhere.
Browse available global options using
?EDCimport_options.