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 20 functions, most of its features can be executed by only using functions pipaux::load_aux
and pipaux::update_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 cpi, gdp, pce, pfw, pop, and ppp.
So, loading the cpi
database could be done by typing, load_aux(measure = "cpi")
or pip_cpi("load")
.
Updating data
Updating the auxiliary data in PIP uses the same syntax as loading it. Data could be updated using the function pipaux::load_aux
of any of the measure specific functions. Before each version of pipaux
is released, it is verified whether there is any auxiliary database that is not up to date. So, these functions are seldom used.
# this,
update_aux(measure = "cpi")
#> Data signature is up to date.
#> No update performed
# is equivalent to this,
pip_cpi("update")
#> Data signature is up to date.
#> No update performed
# And this
update_aux(measure = "ppp")
#> Data signature is up to date.
#> No update performed
# is equivalent to this,
pip_ppp("update")
#> Data signature is up to date.
#> No update performed
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.