Group population by quintiles based on their poverty probability
A numeric vector of poverty probabilities or likelihoods.
A numeric vector between 0 to 1 of quantile probabilities. Default values are a vector of equal probabilities (0.2, 0.4, 0.6, 0.8, 1).
A numeric vector between 1 to 5 classifying data into quintiles of increasing poverty probabilities.
1 2 3 4 5 6
# ppi based on USAID extreme poverty definition using Bangladesh data from # washdata package and PPI lookup table from ppitables package # install.packages("washdata"); library(washdata) ppi <- get_ppi_cohort(index = washdata::indicatorsDataBGD$ppi, ppiTable = ppitables::ppiBGD2013) quintile_ppi(ppi = ppi$extreme)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.