pipaux
manages the auxiliary data used in the PIP workflow. It basically does two things. [1] It updates the auxiliary data and makes sure to keep it unchanged when it the raw data has not been modified. [2] it loads the data into memory.
Installation
You can install the development version from GitHub with:
# install.packages("devtools")
devtools::install_github("PIP-Technical-Team/pipaux")
Even though pipaux
has more than 0 functions, most of its features can be executed by only using functions pipaux::load_aux
and pipaux::update_all_aux
, which wrappers of other measure-specific functions.
Loading data
Loading auxiliary data can be done using the function pipaux::load_aux
, whose first argument is the name of the measure
to be loaded. The measures available are and .
So, loading the cpi
database could be done by typing, load_aux(measure = "cpi")
or aux_cpi("load")
.
Remember to first set up your working release, so that load_aux()
will automatically load the file in the current release folder. For example,
pipfun::setup_working_release(release = "20250203")
#> ℹ PIP working release setup to 20250203-TEST
Updating data
Updating the auxiliary data in PIP can be done either one measure at a time or all measures together. Data could be updated using the function pipaux::aux_fun(measure = "...")
of any of the measure specific functions. Or all auxiliary data measures can be updated altogether with update_all_aux
. Both of these functions also update any dependencies of the specified measure.
Alternatively, updating the specified measure (e.g., cpi) only can be done using again the aux_cpi(action = "update")
function.
# this,
aux_fun(measure = "cpi")
# is equivalent to this,
aux_cpi("update")
# And this
update_all_aux(measure = "cpi")
pipaux
checks whether the hash of each database has changed and updates the data in case it has changed. If it has not changed, it notifies the user. The user can force the update by using force = TRUE
as part of the arguments.