plot_mdpi: Plots of Multidimensional Poverty Measures

In JobNmadu/Dyn4cast: Dynamic Modeling and Machine Learning Environment

Plots of Multidimensional Poverty Measures

Description

Plots of Multidimensional Poverty Measures

Usage

plot_mdpi(data, kala, factor = NULL)

Arguments

data	⁠Data frame⁠ of Multidimensional Poverty measures from mdpi
kala	color palette with at least 15 colors but must be equal or higher than the number of options in the factor argument
factor	the optional grouping factor used in the computation measures. If not supplied only the national plots will be produced irrespective of whether the factor was used in the computation.

Value

A list of the following plots:

Multidimensional poverty index	plot.
Deprivation Score	plot.
Adjusted incidence of poverty	plot.
Intensity of poverty	plot.
Average deprivation among the deprived	plot.
Contribution of each Dimension	plot.
combined dimensions	plot.
national	plot.
combined dimensions of national	plot.

Examples

# Not run, uncomment to run
# library(MPI)
# data("examplePovertydf")
# data <- examplePovertydf
# dm <- list(d1 = c("Child.Mortality", "Access.to.health.care"),
#            d2 = c("Years.of.education", "School.attendance", "School.lag"),
#            d3 = c("Cooking.Fuel", "Access.to.clean.source.of.water",
#                   "Access.to.an.improve.sanatation", "Electricity",
#                   "Housing.Materials", "Asset.ownership"))
# dp <- mdpi(data, dm, Factor = "Region")
# library(MetBrewer)
# kala <- met.brewer("OKeeffe1", 15, type = "continuous")
# plot_mdpi(dp$MDPI, kala, "Region")

JobNmadu/Dyn4cast documentation built on March 5, 2025, 9:56 p.m.