- .mpi_specs_file
Accepts .xlsx (Excel), .json, .csv, or .txt (TSV) file format. This file should contain the following columns/variables: Dimension, Indicator, Variable, Weight, and Description (optional). See example below.
- .indicators
A data frame of MPI indicators. Useful if prefer define your indicators instead of using an external file.
- .poverty_cutoffs
Accepts single value or a vector of poverty cutoffs. This parameter (usually denoted by k) reflects the minimum level of deprivations or deprivation score an individual or household must be suffering simultaneously to be considered poor. See example below.
- .unit_of_analysis
e.g. individuals, families, households, or communities. Default value is NULL.
- .aggregation
Column name in the dataset that defines an aggregation level.
- .uid
Column name containing unique ID of the dataset which defines the lowest level of disaggregation (usually unit of analysis).
- .source_of_data
Source of data used in the computation. This will be used in the footnote of the table when generating an output.
- .names_separator
Column separator that defines the hierarchy of the column header.
- .save_as_global_options
Whether to save the specs globally. Equivalent to invoking options().