R/fredr_release_series.R
fredr_release_series.RdGet the series on a release of economic data
fredr_release_series(
release_id,
...,
filter_variable = NULL,
filter_value = NULL,
tag_names = NULL,
exclude_tag_names = NULL,
limit = NULL,
offset = NULL,
order_by = NULL,
sort_order = NULL,
realtime_start = NULL,
realtime_end = NULL
)An integer ID of the release.
These dots only exist for future extensions and should be empty.
A string indicating which attribute to indicate the
attribute that results are filtered by. Possible values include: "frequency",
"units", "seasonal_adjustment". No filtering by default.
A string giving the value of the filter_variable
attribute to filter results by. filter_variable must be set. No filtering
by default.
A string indicating which series tags to match. Multiple tags can be delimited by a semicolon in a single string (e.g. `"usa;gnp"``).
A string indicating which series tags should not be matched. Multiple tags can be delimited by a semicolon in a single string (e.g. `"usa;gnp"``).
An integer limit on the maximum number of results to return.
Defaults to 1000, the maximum.
An integer used in conjunction with limit for long series.
This mimics the idea of pagination to retrieve large amounts of data over
multiple calls. Defaults to 0.
A string indicating an attribute by which the results are ordered by. Possible values include:
"series_id" (default)
"title"
"units"
"frequency"
"seasonal_adjustment"
"realtime_start"
"realtime_end"
"last_updated"
"observation_start"
"observation_end"
"popularity"
"group_popularity"
A string representing the order of the resulting series.
Possible values are: "asc" (default), and "desc".
A Date indicating the start of the real-time period.
Defaults to today's date. For more information, see
Real-Time Periods.
A Date indicating the end of the real-time period.
Defaults to today's date. For more information, see
Real-Time Periods.
A tibble object.
if (fredr_has_key()) {
fredr_release_series(release_id = 20L)
fredr_release_series(release_id = 20L, order_by = "popularity")
# Extract the "catalog" of series from a release on a certain date
fredr_release_series(
release_id = 20L,
realtime_end = as.Date("2018-07-13"),
order_by = "popularity"
)
}
#> # A tibble: 912 × 16
#> id realtime_start realtime_end title observation_start observation_end
#> <chr> <chr> <chr> <chr> <chr> <chr>
#> 1 WLAIGADA 2011-07-07 2018-07-13 Facto… 2010-11-03 2011-01-19
#> 2 ABS1690 2010-02-04 2014-11-05 Asset… 2002-12-18 2014-10-29
#> 3 ABS1690 2014-11-06 2018-07-13 Asset… 2002-12-18 2014-11-05
#> 4 D6WABPL 2011-07-07 2018-07-13 Asset… 2002-12-18 2018-07-11
#> 5 D1WABPL 2011-07-07 2018-07-13 Asset… 2002-12-18 2018-07-11
#> 6 D4WABPL 2011-07-07 2018-07-13 Asset… 2002-12-18 2018-07-11
#> 7 D11WABPL 2011-07-07 2018-07-13 Asset… 2002-12-18 2018-07-11
#> 8 D9WABPL 2011-07-07 2018-07-13 Asset… 2002-12-18 2018-07-11
#> 9 D3WABPL 2011-07-07 2018-07-13 Asset… 2002-12-18 2018-07-11
#> 10 D5WABPL 2011-07-07 2018-07-13 Asset… 2002-12-18 2018-07-11
#> # ℹ 902 more rows
#> # ℹ 10 more variables: frequency <chr>, frequency_short <chr>, units <chr>,
#> # units_short <chr>, seasonal_adjustment <chr>,
#> # seasonal_adjustment_short <chr>, last_updated <chr>, popularity <int>,
#> # group_popularity <int>, notes <chr>