rankComp: Ranking Comparison

In giniCI: Gini-Based Composite Indicators

Ranking Comparison

Description

Perform a ranking comparison between two indices.

Usage

rankComp(ref, alt, highest.first = TRUE, id = NULL, time = NULL)

Arguments

ref	a numeric vector of reference index values.
alt	a numeric vector of alternative index values.
highest.first	a logical value indicating whether the highest value gets ranking #1. If FALSE, the lowest value gets ranking #1.
id	a vector of unit identifiers.
time	a vector of temporal factors.

Value

An object of classes "rankComp" and "data.frame" containing the following columns:

id	the unit identifiers (if provided).
time	the temporal factors (if provided).
ref.rank	the ranking based on the reference index.
alt.rank	the ranking based on the alternative index.
shift	the ranking shifts between two indices.

Author(s)

Viet Duong Nguyen, Chiara Gigliarano, Mariateresa Ciommi

See Also

summary.rankComp, rankScatterPlot, rankShiftPlot, rankRankPlot.

Examples

data(bli)

# Goalpost normalization
bli.pol = c("neg", "pos", "pos", "pos", "pos", "neg",
            "pos", "pos", "pos", "neg", "pos")
bli.norm.2014 <- normalize(inds = bli[, 3:13], method = "goalpost",
                           ind.pol = bli.pol, time = bli$YEAR,
                           ref.time = 2014)

# Composite indices
ci.gini <- giniCI(bli.norm.2014, method = "gini",
                  ci.pol = "pos", time = bli$YEAR, ref.time = 2014,
                  only.ci = TRUE)
ci.reci <- giniCI(bli.norm.2014, method = "reci", agg = "geo",
                  ci.pol = "pos", time = bli$YEAR, ref.time = 2014,
                  only.ci = TRUE)

# Ranking comparison
ci.comp <- rankComp(ci.gini, ci.reci, id = bli$COUNTRY, time = bli$YEAR)
print(ci.comp)
summary(ci.comp)

giniCI documentation built on April 3, 2025, 7:35 p.m.