Compute various aggregations of PIP statistics

pip_grp(
  country = "all",
  year = "all",
  povline = 1.9,
  group_by = c("none", "wb"),
  welfare_type = c("all", "consumption", "income"),
  reporting_level = c("all", "national"),
  lkup,
  debug = FALSE,
  censor = TRUE
)

Arguments

country: character: Country ISO 3 codes
year: integer: Reporting year
povline: numeric: Poverty line
group_by: character: Will return aggregated values for predefined sub-groups
welfare_type: character: Welfare type
reporting_level: character: Geographical reporting level
lkup: list: A list of lkup tables
debug: logical: If TRUE poverty calculations from wbpip will run in debug mode
censor: logical: Triggers censoring of country/year statistics

Value

data.table

Examples

if (FALSE) {
# Create lkups
lkups <- create_lkups("<data-folder>")

# A single country and year
pip_grp(country = "all",
        year = 2000,
        povline = 1.9,
        group_by = "wb",
        lkup = lkups)
}