Return aggregation of PIP statistics
Usage
pip_group(
country = NULL,
year = NULL,
povline = 2.15,
popshare = NULL,
group_by = c("wb", "none"),
fill_gaps = FALSE,
welfare_type = c("all", "consumption", "income"),
reporting_level = c("all", "national", "rural", "urban"),
additional_ind = FALSE,
release_version = NULL,
ppp_version = NULL,
version = NULL
)
Arguments
- country
(
character()
) countries for which statistics are to be computed, specified as ISO3 codes. DefaultNULL
.- year
(
character()
|numeric()
) year(s) for which statistics are to be computed, specified as YYYY. DefaultNULL
.- povline
(
numeric(1)
) poverty line to be used to compute poverty mesures. Poverty lines are only accepted up to 3 decimals. Default2.15
.(
numeric(1)
) proportion of the population living below the poverty line. Will be ignored if povline is specified. DefaultNULL
.- group_by
(
character(1)
) aggregate results by pre-defined sub-groups. Default"wb"
.- fill_gaps
(
logical(1)
) whether to fill gaps in the data. DefaultFALSE
.- welfare_type
(
character(1)
) type of welfare measure to be used. Default"all"
.- reporting_level
(
character(1)
) level of reporting for the statistics. Default"all"
.- additional_ind
(
logical(1)
) whether to include additional indicators. DefaultFALSE
.- release_version
(
character(1)
) version of the data release in YYYYMMDD format. DefaultNULL
.- ppp_version
(
character(1)
|numeric(1)
) version of the data. DefaultNULL
.- version
(
character(1)
) version of the data. DefaultNULL
.
Value
A data.frame()
with the requested statistics.
See also
Other poverty and inequality statistics:
pip_aux()
,
pip_citation()
,
pip_data()
,
pip_health_check()
,
pip_info()
,
pip_valid_params()
,
pip_versions()
Examples
# \donttest{
pip_group(c("AFE", "LAC"))
#> Error in req_perform(req_url_query(req_error(req_url_path_append(req_user_agent(request("https://api.worldbank.org/pip/v1"), "worldbank (https://m-muecke.github.io/worldbank)"), resource), body = pip_error_body), format = format, ...)): HTTP 502 Bad Gateway.
# }