The REDCapSync package benefits from storing/caching key information
about your different projects. The two most important pieces of
information is the short_name and directory
where it’s stored. This is enough information to be able to find where
you have chosen to securely store your files, load what has already been
collected, and then communicate with R to fetch any new updates.
REDCapSync’s ability to store your projects in a standardized directory
is what allows for powerful pipeline tasks.
library(REDCapSync) # don't forget to load the packageThe Cache
Using the hoadr package, R finds the standard location
where R typically stores cahced package data. For example, on Mac the
location might look like,
“/Users/yourmacname/Library/Caches/R/REDCapSync”. Your exact path can be
found with cache_path() At the time writing this article,
the only thing that REDCapSync stores in this cache is the projects
data.frame, which can be loaded with
projects <- get_projects().
Projects
projects <- get_projects()
print.data.frame(projects)