This function is used to filter out a single input-output table from a database,
for example a raw file downloaded from the Eurostat website. It provides some
functionality to avoid some pitfalls.
Unless you want to work with bulk data files, you should not invoke
directly, rather via this function, if and when it is necessary.
iotable_get(labelled_io_data = NULL, source = "germany_1990",
geo = "DE", year = 1990, unit = "MIO_EUR", stk_flow = "DOM",
labelling = "iotables", data_directory = NULL,
force_download = TRUE)
If you have downloaded a bulk data file with
iotables_download, it is faster to work with the data
in the memory. Defaults to
NULL when the data will be retrieved from
the hard disk or from the Eurostat website invoking the same function.
A data source, for example
naio_10_cp1700 Symmetric input-output table at basic prices (product by product)
naio_10_pyp1700 Symmetric input-output table at basic prices (product by product) (previous years prices)
naio_10_cp1750 Symmetric input-output table at basic prices (industry by industry)
naio_10_pyp1750 Symmetric input-output table at basic prices (industry by industry) (previous years prices)
naio_10_cp15 Supply table at basic prices incl. transformation into purchasers' prices
naio_10_cp16 Use table at purchasers' prices
naio_10_cp1610 Use table at basic prices
naio_10_pyp1610 Use table at basic prices (previous years prices) (naio_10_pyp1610)
naio_10_cp1620 Table of trade and transport margins at basic prices
naio_10_pyp1620 Table of trade and transport margins at previous years' prices
naio_10_cp1630 Table of taxes less subsidies on products at basic prices
naio_10_pyp1630Table of taxes less subsidies on products at previous years' prices
For further information consult the
Eurostat Symmetric Input-Output Tables page.
A country code or a country name. For example,
SK or as
A numeric variable containing the year. Defaults to
2010, because this year has the most data.
A character string containing the currency unit, defaults to
MIO_NAC (million national currency unit).
The alternative is
DOM as domestic output, alternative
IMP for imports
TOTAL for total output. For
source = 'naio_10_cp1620' and
trade and transport margins and
source = 'naio_10_cp1630' taxes
less subsidies only
TOTAL is not used.
iotables which gives standard row and column names regardless of the
source of the table, or if it is a product x product, industry x industry or product x industry table.
The alternative is
short which is the original short row or column code of Eurostat or OECD.
NULL, if a valid directory, it will try to save the pre-processed
data file here with labelling.
FALSE it will use the existing
downloaded file in the
data_directory or the temporary directory,
if it exists. Will force download only in a new session.
germany_table <- iotable_get( source = "germany_1990", geo = 'DE',
year = 1990, unit = "MIO_EUR",
labelling = "iotables")