rankRankPlot: Rank-rank Plot

In giniCI: Gini-Based Composite Indicators

Rank-rank Plot

Description

Generate rank-rank plots for ranking comparison.

Usage

rankRankPlot(object, id.col = FALSE, p.size = 1.5, p.nudge = 0.05,
             s.width = 0.5,  lab.size = 3.88,
             max.overlaps = 10, max.tick = 50,
             ref.lab = "Reference ranking", alt.lab = "Alternative ranking",
             y.lab = NULL, combine = FALSE, nr = NULL, nc = NULL)

Arguments

object	an object of class "rankComp", usually, an output of a call to rankComp.
id.col	a logical value indicating whether the rank-rank segment should be colored by unit identifiers. It is not recommended if having more than 20 units.
p.size	size of segment endpoints.
p.nudge	horizontal adjustment value to nudge the starting position of labels.
s.width	line width for rank-rank segments.
lab.size	label size value.
max.overlaps	a value to exclude the label if it has too many overlaps. The default value is 10. Set max.overlaps = Inf to always show all labels.
max.tick	a positive integer to control the maximum number of axis ticks. The default value is 50. Set max.tick equal to or greater than the number of rankings to display all rankings on the axis.
ref.lab	name of the reference index.
alt.lab	name of the alternative index.
y.lab	label of the y-axis.
combine	a logical value indicating whether to generate a grid that combines plots from different time factors (If object$time is not NULL).
nr	(optional) number of rows in the plot grid.
nc	(optional) number of columns in the plot grid.

Value

A plot comparing two rankings connected by segments. In case object$time is not NULL, a list of plots for different time factors and the combined grid (if combine = TRUE) will be returned. The function does not print the return if it is assigned to an object. Use print with the storing object to generate the plot.

Author(s)

Viet Duong Nguyen, Chiara Gigliarano, Mariateresa Ciommi

See Also

rankComp, rankScatterPlot, rankShiftPlot.

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 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]])

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