Plots of Multidimensional Poverty Measures

Usage

plot_mdpi(data, kala, dma, factor = NULL)

Arguments

data: Data frame of Multidimensional Poverty measures which is an object 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
dma: number of Dimensions involved in the computation of Multidimensional Poverty measures.
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")
# dma <- 3
# plot_mdpi(dp$MDPI, kala, dma, "Region")