fredr: Get observations of a FRED series
In fredr: An R Client for the 'FRED' API

Description Usage Arguments Value API Documentation See Also Examples

Given a series ID, return observations of that series as a tibble object. fredr() is an alias for fredr_series_observations().

fredr_series_observations(
  series_id,
  ...,
  observation_start = NULL,
  observation_end = NULL,
  frequency = NULL,
  aggregation_method = NULL,
  limit = NULL,
  offset = NULL,
  sort_order = NULL,
  units = NULL,
  realtime_start = NULL,
  realtime_end = NULL,
  vintage_dates = NULL,
  output_type = NULL
)

fredr(
  series_id,
  ...,
  observation_start = NULL,
  observation_end = NULL,
  frequency = NULL,
  aggregation_method = NULL,
  limit = NULL,
  offset = NULL,
  sort_order = NULL,
  units = NULL,
  realtime_start = NULL,
  realtime_end = NULL,
  vintage_dates = NULL,
  output_type = NULL
)

`series_id`	A string ID for the FRED series.
`...`	These dots only exist for future extensions and should be empty.
`observation_start`	A `Date` indicating the start of the observation period. Defaults to `1776-07-04`, the earliest available date.
`observation_end`	A `Date` indicating the end of the observation period. Defaults to `9999-12-31`, the latest available date.
`frequency`	A string representing a lower frequency to aggregate to. Defaults to no frequency aggregation. Possible values are: `"d"` - Daily `"w"` - Weekly `"bw"` - Biweekly `"m"` - Monthly `"q"` - Quarterly `"sa"` - Semiannual `"a"` - Annual `"wem"` - Weekly, ending Monday `"wetu"` - Weekly, ending Tuesday `"wew"` - Weekly, ending Wednesday `"weth"` - Weekly, ending Thursday `"wef"` - Weekly, ending Friday `"wesa"` - Weekly, ending Saturday `"wesu"` - Weekly, ending Sunday `"bwew"` - Biweekly, ending Wednesday `"bwem"` - Biweekly, ending Monday
`aggregation_method`	A string representing the aggregation method used for frequency aggregation. This parameter has no affect is `frequency` is not set. Possible values are: `"avg"` for average `"sum"` for sum `"eop"` for end of period value
`limit`	An integer limit on the maximum number of results to return. Defaults to `100000`, the maximum.
`offset`	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`.
`sort_order`	A string representing the order of the resulting series. Possible values are: `"asc"` (default), and `"desc"`.
`units`	A string indicating the data value transformation. Defaults to `"lin"`. Possible values are: `"lin"` - Levels (No transformation) `"chg"` - Change `"ch1"` - Change from 1 year ago `"pch"` - Percent change `"pc1"` - Percent change from 1 year ago `"pca"` - Compounded annual rate of change `"cch"` - Continuously compounded rate of change `"cca"` - Continuously compounded annual rate of change `"log"` - Natural log
`realtime_start`	A `Date` indicating the start of the real-time period. Defaults to today's date. For more information, see Real-Time Periods.
`realtime_end`	A `Date` indicating the end of the real-time period. Defaults to today's date. For more information, see Real-Time Periods.
`vintage_dates`	A vector of `Date` objects to download data for. Vintage dates are used to download data as it existed on these specified dates in history. They can be specified instead of a real-time period using `realtime_start` and `realtime_end`. Defaults to no vintage dates.
`output_type`	An integer indicating the output type. Not used unless `realtime_start` is used. Possible values are: `1` for Observations by Real-Time Period (default) `2` for Observations by Vintage Date, All Observations `3` for Observations by Vintage Date, New and Revised Observations Only `4` for Observations, Initial Release Only.

A tibble object with observation dates and values.

fred/series/observations

fredr_series_search_text(), fredr_series_search_id(), fredr_series_search_tags(), fredr_series_search_related_tags(), fredr_series(), fredr_series_categories(), fredr_series_release(), fredr_series_tags(), fredr_series_updates(), fredr_series_vintagedates().

if (fredr_has_key()) {
# Observations for "UNRATE" series between 1980 and 2000.  Units are in terms
# of change from previous observation.
fredr(
  series_id = "UNRATE",
  observation_start = as.Date("1980-01-01"),
  observation_end = as.Date("2000-01-01"),
  units = "chg"
)
# All observations for "OILPRICE" series.  The data is first aggregated by
# quarter by taking the average of all observations in the quarter then
# transformed by taking the natural logarithm.
fredr(
  series_id = "OILPRICE",
  frequency = "q",
  aggregation_method = "avg",
  units = "log"
)

# To retrieve values for multiple series, use purrr's map_dfr() function.

if (requireNamespace("purrr", quietly = TRUE)) {

  library(purrr)
  purrr::map_dfr(c("UNRATE", "OILPRICE"), fredr)

  # Using purrr::pmap_dfr() allows you to use varying optional parameters
  params <- list(
    series_id = c("UNRATE", "OILPRICE"),
    frequency = c("m", "q")
  )

  purrr::pmap_dfr(
    .l = params,
    .f = ~ fredr(series_id = .x, frequency = .y)
  )

}

}