rdb_by_api_link: Download DBnomics data using API link (deprecated).

In rdbnomics: Download DBnomics Data

Description

rdb_by_api_link downloads data series from DBnomics.

Usage

rdb_by_api_link(
  api_link,
  use_readLines = getOption("rdbnomics.use_readLines"),
  curl_config = getOption("rdbnomics.curl_config"),
  filters = getOption("rdbnomics.filters")
)

Arguments

api_link	Character string. DBnomics API link of the search.
use_readLines	Logical (default FALSE). If TRUE, then the data are requested and read with the base function readLines i.e. through the default R internet connection. This can be used to get round the error Could not resolve host: api.db.nomics.world.
curl_config	Named list (default NULL). If not NULL, it is used to configure a proxy connection. This configuration is passed to the function curl_fetch_memory of the package curl. A temporary curl_handle object is created internally with arguments equal to the provided list in curl_config. For curl_fetch_memory arguments see curl_fetch. For available curl options see curl_options, names(curl_options()) and libcurl.
filters	List (default NULL). This argument must be a named list for one filter because the function toJSON of the package jsonlite is used before sending the request to the server. For multiple filters, you have to provide a list of valid filters (see examples). A valid filter is a named list with an element code which is a character string, and an element parameters which is a named list with elements frequency and method or a NULL.

Details

This function gives you access to hundreds of millions data series from DBnomics API (documentation about the API can be found here). The API link is given on the DBnomics website.

Value

A data.table.

Author(s)

Sebastien Galais

See Also

rdb

Examples

## Not run: 
# Fetch two series from different datasets of different providers :
df1 <- rdb_by_api_link(
  paste0(
    "https://api.db.nomics.world/v22/",
    "series?observations=1&series_ids=AMECO/ZUTN/EA19.1.0.0.0.ZUTN,IMF/CPI/A.AT.PCPIT_IX"
  )
)

# Fetch one series from the dataset 'Doing Business' of WB provider :
df2 <- rdb_by_api_link(
  paste0(
    "https://api.db.nomics.world/v22/series/WB/DB?dimensions=%7B%22",
    "indicator%22%3A%5B%22IC.REG.PROC.FE.NO%22%5D%7D&q=Doing%20Business",
    "&observations=1&format=json&align_periods=1&offset=0&facets=0"
  )
)


## Use a specific proxy to fetch the data
# Fetch one series from the dataset 'Doing Business' of WB provider :
h <- list(
  proxy = "<proxy>",
  proxyport = <port>,
  proxyusername = "<username>",
  proxypassword = "<password>"
)
options(rdbnomics.curl_config = h)
df2 <- rdb_by_api_link(
  paste0(
    "https://api.db.nomics.world/v22/series/WB/DB?dimensions=%7B%22",
    "indicator%22%3A%5B%22IC.REG.PROC.FE.NO%22%5D%7D&q=Doing%20Business",
    "&observations=1&format=json&align_periods=1&offset=0&facets=0"
  )
)
# or to use once
df2 <- rdb_by_api_link(
  paste0(
    "https://api.db.nomics.world/v22/series/WB/DB?dimensions=%7B%22",
    "indicator%22%3A%5B%22IC.REG.PROC.FE.NO%22%5D%7D&q=Doing%20Business",
    "&observations=1&format=json&align_periods=1&offset=0&facets=0"
  ),
  curl_config = h
)


## Use R default connection to avoid a proxy failure (in some cases)
# Fetch one series from the dataset 'Doing Business' of WB provider :
options(rdbnomics.use_readLines = TRUE)
df2 <- rdb_by_api_link(
  paste0(
    "https://api.db.nomics.world/v22/series/WB/DB?dimensions=%7B%22",
    "indicator%22%3A%5B%22IC.REG.PROC.FE.NO%22%5D%7D&q=Doing%20Business",
    "&observations=1&format=json&align_periods=1&offset=0&facets=0"
  )
)
# or to use once
df2 <- rdb_by_api_link(
  paste0(
    "https://api.db.nomics.world/v22/series/WB/DB?dimensions=%7B%22",
    "indicator%22%3A%5B%22IC.REG.PROC.FE.NO%22%5D%7D&q=Doing%20Business",
    "&observations=1&format=json&align_periods=1&offset=0&facets=0"
  ),
  use_readLines = TRUE
)


## Apply filter(s) to the series
# One filter
df3 <- rdb_by_api_link(
  "https://api.db.nomics.world/v22/series/IMF/WEO:2019-10/ABW.BCA?observations=1",
  filters = list(
    code = "interpolate",
    parameters = list(frequency = "daily", method = "spline")
  )
)

# Two filters
df3 <- rdb_by_api_link(
  "https://api.db.nomics.world/v22/series/IMF/WEO:2019-10/ABW.BCA?observations=1",
  filters = list(
    list(
      code = "interpolate",
      parameters = list(frequency = "quarterly", method = "spline")
    ),
    list(
      code = "aggregate",
      parameters = list(frequency = "annual", method = "average")
    )
  )
)

## End(Not run)

rdbnomics documentation built on Oct. 26, 2020, 1:06 a.m.