quintile_ppi_cohort: Group population by quintiles based on their multiple poverty...
In ernestguevarra/ppicalc: Calculator for Determining Poverty Likelihood Based on the Poverty Probability Index (PPI)
Description
Usage
Arguments
Value
Examples
View source: R/06-quintile_ppi_cohort.R
Description
Group population by quintiles based on their multiple poverty probabilities
Usage
1
quintile_ppi_cohort(ppi, probs = c(0.2, 0.4, 0.6, 0.8, 1))
Arguments
ppi
A data frame of poverty probabilities or likelihoods.
probs
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).
Value
A data frame of multiple quintile classifications of between 1 to 5
of increasing poverty probabilities.
Examples
1
2
3
4
5
6
# ppi for all poverty definitions 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$ppi,
ppiTable = ppitables::ppiBGD2013)
quintile_ppi_cohort(ppi = ppi)
ernestguevarra/ppicalc documentation built on Jan. 14, 2020, 2:49 a.m.
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Description Usage Arguments Value Examples
View source: R/06-quintile_ppi_cohort.R
Description
Group population by quintiles based on their multiple poverty probabilities
Usage
1 | quintile_ppi_cohort(ppi, probs = c(0.2, 0.4, 0.6, 0.8, 1))
|
Arguments
ppi |
A data frame of poverty probabilities or likelihoods. |
probs |
A numeric vector between 0 to 1 of quantile probabilities. Default values are a vector of equal probabilities (0.2, 0.4, 0.6, 0.8, 1). |
Value
A data frame of multiple quintile classifications of between 1 to 5 of increasing poverty probabilities.
Examples
1 2 3 4 5 6 | # ppi for all poverty definitions using Bangladesh data from
# washdata package and PPI lookup table from ppitables package
# install.packages("washdata"); library(washdata)
ppi <- get_ppi_cohort(index = washdata::indicatorsDataBGD$ppi,
ppiTable = ppitables::ppiBGD2013)
quintile_ppi_cohort(ppi = ppi)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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