rank_aggregation: Ranking Aggregation

In Indicator: Composite 'Indicator' Construction and Imputation Data

Ranking Aggregation

Description

It's a function to apply ranking aggregation. The highest value is the first value of rank

Usage

rank_aggregation(data)

Arguments

data	dataframe with rows = observations and columns = quantiative variables

Value

It returns a dataframe with rows = observations and column = composite indicator

References

OECD/European Union/EC-JRC (2008), Handbook on Constructing Composite Indicators: Methodology and User Guide, OECD Publishing, Paris, <https://doi.org/10.1787/9789264043466-en>

Examples

data("Education")
Indicator_rank=rank_aggregation(Education)
print(Indicator_rank)

Indicator documentation built on April 4, 2025, 4:35 a.m.