This vignette is intended to introduce the user to fredr functions for the Sources endpoint of the FRED API.
FRED series are derived from a specific data source. Each FRED source is assigned an integer identifier. The following examples illustrate usage of the Sources endpoint functions in fredr.
The function fredr_sources() returns a list of FRED data sources. The information returned is a tibble in which each row represents a FRED source. For example, running fredr_sources() without any arguments returns the first 1000 (limit default) sources ordered by ascending source ID (but here we limit to just 10):
fredr_sources(limit = 10)
#> # A tibble: 10 × 5
#> id realtime_start realtime_end name link
#> <int> <chr> <chr> <chr> <chr>
#> 1 1 2023-04-17 2023-04-17 Board of Governors of the Federal Re… http…
#> 2 3 2023-04-17 2023-04-17 Federal Reserve Bank of Philadelphia http…
#> 3 4 2023-04-17 2023-04-17 Federal Reserve Bank of St. Louis http…
#> 4 6 2023-04-17 2023-04-17 Federal Financial Institutions Exami… http…
#> 5 11 2023-04-17 2023-04-17 Dow Jones & Company http…
#> 6 14 2023-04-17 2023-04-17 University of Michigan http…
#> 7 15 2023-04-17 2023-04-17 Council of Economic Advisers (US) http…
#> 8 16 2023-04-17 2023-04-17 U.S. Office of Management and Budget http…
#> 9 17 2023-04-17 2023-04-17 U.S. Congressional Budget Office http…
#> 10 18 2023-04-17 2023-04-17 U.S. Bureau of Economic Analysis http…The function fredr_source() returns information for a single source indicated by source_id. The data returned is a tibble in which each row represents a FRED source. For example, the Federal Financial Institutions Examination Council source ID is 6:
fredr_source(source_id = 6L)
#> # A tibble: 1 × 5
#> id realtime_start realtime_end name link
#> <int> <chr> <chr> <chr> <chr>
#> 1 6 2023-04-17 2023-04-17 Federal Financial Institutions Examin… http…The function fredr_source_releases() returns FRED release information for the source indicated by source_id. As with the functions for the Releases endpoint, the data returned is a tibble in which each row represents a FRED release for the specified source. For example, to get the first 10 releases from the Federal Reserve Board of Governors, ordered by ascending release ID:
fredr_source_releases(
source_id = 1L,
limit = 10L
)
#> # A tibble: 10 × 7
#> id realtime_start realtime_end name press_release link notes
#> <int> <chr> <chr> <chr> <lgl> <chr> <chr>
#> 1 13 2023-04-17 2023-04-17 G.17 Industrial … TRUE http… NA
#> 2 14 2023-04-17 2023-04-17 G.19 Consumer Cr… TRUE http… NA
#> 3 15 2023-04-17 2023-04-17 G.5 Foreign Exch… TRUE http… NA
#> 4 17 2023-04-17 2023-04-17 H.10 Foreign Exc… TRUE http… NA
#> 5 18 2023-04-17 2023-04-17 H.15 Selected In… TRUE http… NA
#> 6 19 2023-04-17 2023-04-17 H.3 Aggregate Re… TRUE http… "The…
#> 7 20 2023-04-17 2023-04-17 H.4.1 Factors Af… TRUE http… NA
#> 8 21 2023-04-17 2023-04-17 H.6 Money Stock … TRUE http… NA
#> 9 22 2023-04-17 2023-04-17 H.8 Assets and L… TRUE http… NA
#> 10 52 2023-04-17 2023-04-17 Z.1 Financial Ac… TRUE http… "The…To get University of Michigan releases since 1950:
fredr_source_releases(
source_id = 14L,
realtime_start = as.Date("1950-01-01")
)
#> # A tibble: 1 × 6
#> id realtime_start realtime_end name press_release link
#> <int> <chr> <chr> <chr> <lgl> <chr>
#> 1 91 1998-07-31 9999-12-31 Surveys of Consumers TRUE http://w…