API request of DHS Indicators

dhs_indicators(
  countryIds = NULL,
  indicatorIds = NULL,
  surveyIds = NULL,
  surveyYear = NULL,
  surveyYearStart = NULL,
  surveyYearEnd = NULL,
  surveyType = NULL,
  surveyCharacteristicIds = NULL,
  tagIds = NULL,
  f = NULL,
  returnFields = NULL,
  perPage = NULL,
  page = NULL,
  client = NULL,
  force = FALSE,
  all_results = TRUE
)

Arguments

countryIds: Specify a comma separated list of country ids to filter by. For a list of countries use dhs_countries(returnFields=c("CountryName","DHS_CountryCode"))
indicatorIds: Specify a comma separated list of indicators ids to filter by. For a list of indicators use dhs_indicators(returnFields=c("IndicatorId","Label","Definition"))
surveyIds: Specify a comma separated list of survey ids to filter by. For a list of surveys use dhs_surveys(returnFields=c("SurveyId","SurveyYearLabel", "SurveyType","CountryName"))
surveyYear: Specify a survey year to filter by.
surveyYearStart: Specify a range of Survey Years to filter Indicators on. surveyYearStart is an inclusive value. Can be used alone or in conjunction with surveyYearEnd.
surveyYearEnd: Specify a range of Survey Years to filter Indicators on. surveyYearEnd is an inclusive value. Can be used alone or in conjunction with surveyYearStart.
surveyType: Specify a comma separated list of survey years to filter by.
surveyCharacteristicIds: Specify a survey characteristic id to filter indicators in surveys with the specified survey characteristic. For a list of survey characteristics use dhs_surveys(returnFields=c("SurveyId","SurveyYearLabel", "SurveyType","CountryName"))
tagIds: Specify a tag id to filter indicators with the specified tag. For a list of tags use dhs_tags()
f: You can specify the format of the data returned from the query as HTML, JSON, PJSON, geoJSON, JSONP, XML or CSV. The default data format is JSON.
returnFields: Specify a list of attributes to be returned.
perPage: Specify the number of results to be returned per page. By default the API will return 100 results.
page: Allows specifying a page number to obtain for the API request. By default the API will return page 1.
client: If the API request should be cached, then provide a client object created by client_dhs
force: Should we force fetching the API results, and ignore any cached results we have. Default = FALSE
all_results: Boolean for if all results should be returned. If FALSE then the specified page only will be returned. Default = TRUE.

Value

Returns a data.table of 18 (or less if returnFields is provided) indicators with attributes for each indicator. A detailed description of all the attributes returned is provided at https://api.dhsprogram.com/rest/dhs/indicators/fields

Examples

if (FALSE) { # \dontrun{
# A common use for the indicators data API will be to search for a list of
# health indicators within a given characteristic category, such as anemia
# testing, HIV prevalence, micronutrients etc. For example to return all the
# indicators relating to malaria testing by RDTs:

dat <- dhs_indicators(surveyCharacteristicIds="90")

# A list of the different `surveyCharacteristicIds` can be found
# [here](https://api.dhsprogram.com/rest/dhs/surveycharacteristics?f=html)

# A complete list of examples for how each argument to the indicator API
# endpoint can be provided is given below, which is a copy of each of
# the examples listed in the API at:

# https://api.dhsprogram.com/#/api-indicators.cfm


dat <- dhs_indicators(countryIds="EG",all_results=FALSE)
dat <- dhs_indicators(indicatorIds="FE_FRTR_W_TFR",all_results=FALSE)
dat <- dhs_indicators(surveyIds="SN2010DHS",all_results=FALSE)
dat <- dhs_indicators(surveyYear="2010",all_results=FALSE)
dat <- dhs_indicators(surveyYearStart="2006",all_results=FALSE)
dat <- dhs_indicators(surveyYearStart="1991", surveyYearEnd="2006",
all_results=FALSE)
dat <- dhs_indicators(surveyType="DHS",all_results=FALSE)
dat <- dhs_indicators(surveyCharacteristicIds="32",all_results=FALSE)
dat <- dhs_indicators(tagIds="1",all_results=FALSE)
dat <- dhs_indicators(f="html",all_results=FALSE)
} # }