Nothing
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$YEAR, ref.time = 2014,
only.ci = TRUE)
# Ranking comparison plots
ci.comp <- rankComp(ci.gini, ci.reci, id = bli$COUNTRY, time = bli$YEAR)
rankScatterPlot(ci.comp)$'2014'
rankShiftPlot(ci.comp)$'2015'
rankRankPlot(ci.comp)$'2016'
# Storing and printing
p.scatter <- rankScatterPlot(ci.comp, combine = TRUE, max.overlaps = 20)
print(p.scatter$'2017') # or: print(p.scatter[[4]])
print(p.scatter$'comb') # or: print(p.scatter[[5]])
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