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.
You can install the development version from GitHub with:
# install.packages("devtools")
devtools::install_github("PIP-Technical-Team/pipaux")library(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 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").
identical(load_aux(measure = "cpi"), pip_cpi("load"))
#> [1] TRUE
identical(load_aux(measure = "ppp"), pip_ppp("load"))
#> [1] TRUE
identical(load_aux(measure = "pop"), pip_pop("load"))
#> [1] TRUEUpdating 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 performedpipaux 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.