Get related FRED tags. Optionally, filter results by tag group, or
search text. Related FRED tags are the tags assigned to series that match
all tags in the tag_names parameter and no tags in the
exclude_tag_names parameter.
fredr_related_tags(
tag_names,
...,
exclude_tag_names = NULL,
tag_group_id = NULL,
search_text = NULL,
limit = NULL,
offset = NULL,
order_by = NULL,
sort_order = NULL,
realtime_start = NULL,
realtime_end = NULL
)A semicolon delimited string of tag names to be related to.
These dots only exist for future extensions and should be empty.
A semicolon delimited string of tag names that series match none of. No exclusions are done by default.
A string tag group id to filter tags by type. No filtering by tag group by default. Possible values are:
"freq" = Frequency
"gen" = General or Concept
"geo" = Geography
"geot" = Geography Type
"rls" = Release
"seas" = Seasonal Adjustment
"src" = Source
A string indicating the words to find matching tags with. No filtering by search words by default.
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.
Order results by values of the specified attribute. Possible values are:
"series_count" (default)
"popularity"
"created"
"name"
"group_id"
A string representing the order of the resulting series,
sorted by the attribute values specified by order_by. 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 containing tags related to tag_names and their
descriptions. Data include tag name, group ID, popularity, series count, tag
creation date, and additional notes.
if (fredr_has_key()) {
fredr_related_tags(tag_names = "monetary aggregates;weekly")
fredr_related_tags(
tag_names = "monetary aggregates;weekly",
tag_group_id = "gen"
)
}
#> # A tibble: 6 × 6
#> name group_id notes created popularity series_count
#> <chr> <chr> <chr> <chr> <int> <int>
#> 1 discontinued gen "" 2012-02-27 10… 66 14
#> 2 m3 gen "M3 Money Stock" 2012-02-27 10… 40 6
#> 3 m1 gen "M1 Money Stock" 2012-02-27 10… 46 4
#> 4 m2 gen "M2 Money Stock" 2012-02-27 10… 44 4
#> 5 mzm gen "MZM Money Stock" 2012-02-27 10… 24 4
#> 6 funds gen NA 2020-05-11 13… 30 2