Search for PPI table by specifying region, country and/or calculation type.

find_table(region = levels(steer$region),
  country = as.character(steer$country[steer$region %in% region]),
  type = as.character(steer$type[steer$country %in% country]))

Arguments

region

Region of the world to search PPI table from. Default is c("Africa", "Asia", "Eastern Europe and Central Asia", "Latin America and the Carribean", "Middle East and North Africa"). Allows specification of one region or a vector of regions.

country

Country to search PPI table from. Default is vector of all country names from the specified region/s. Allows specification of one country name or a vector of country names.

type

Type of PPI calculation used. Can be one of two options: "sps" for the Simple Poverty Scorecard calculation or ipa for the International Poverty Alliance calculation. Default is vector of all calculation types available for the specified country/ies.

Value

A data frame in tibble format of corresponding PPI table/s matching the search parameters. The data frame contains information on the region, country, description, survey year, release year, calculation type, and filename of the returned PPI table/s.

Examples

# # View the full data frame of all the PPI tables available through ppitables # find_table()
#> # A tibble: 82 x 7 #> region country survey_year release_year description type filename #> * <fct> <fct> <int> <int> <fct> <fct> <fct> #> 1 Asia Afghan… 2007 2012 PPI for Afghanista… sps ppiAFG2… #> 2 Africa Angola 2008 2015 PPI for Angola bas… sps ppiAGO2… #> 3 Asia Bangla… 2010 2013 PPI for Benin base… sps ppiBEN2… #> 4 Africa Benin 2010 2012 "PPI for Banglades… sps ppiBGD2… #> 5 Latin A… Bolivia 2013 2015 "PPI for Bolivia u… sps ppiBOL2… #> 6 Latin A… Brazil 2008 2010 PPI for Brazil bas… sps ppiBRA2… #> 7 Africa Burkin… 2003 2011 "PPI for Burkina F… sps ppiBFA2… #> 8 Africa Burkin… 2014 2017 "PPI for Burkina F… sps ppiBFA2… #> 9 Africa Burkin… 2014 2017 "PPI for Burkina F… ipa ppiBFA2… #> 10 Asia Cambod… 2011 2015 "PPI for Cambodia … sps ppiKHM2… #> # ... with 72 more rows